This document provides contact information for Richbrain Technologies and lists over 50 potential IEEE final year project titles in the areas of cloud computing, data mining, and parallel distribution. It includes mobile and email contacts and describes the projects as being for students in engineering fields like computer science, information technology, electronics, and electrical engineering.
2013 2014 ieee final year me,mtech studens for cse,it java project titlesRICHBRAINTECHNOLOGIES
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
2013 2014 ieee final sem me,mtech studens for cse,it java project titlesRICHBRAINTECHNOLOGIES
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for students interested in the 2013-2014 IEEE projects.
2013 2014 ieee final sem students me,mtech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies provides IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It lists over 40 project titles in each of these areas and provides contact details to get in touch for these 2013-2014 IEEE final year student projects.
2013 2014 ieee final year students be,btech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides contact information for Richbrain Technologies and lists over 50 potential IEEE final year project titles in the areas of cloud computing, data mining, and parallel distribution. It includes mobile and email contacts and describes the projects as being for students in engineering fields like computer science, information technology, electronics, and electrical engineering.
This document lists over 80 potential cloud computing project titles and provides contact information for Richbrain Technologies, which offers IEEE final year projects. It includes projects related to load balancing, security, data storage, streaming, and other cloud computing topics. Students can contact Richbrain via the provided mobile number or email to obtain more details on specific projects.
This document provides contact information for Richbrain Technologies and lists 64 potential IEEE final year project titles related to cloud computing, distributed systems, wireless sensor networks, and other topics. The projects are aimed at students pursuing BE, BTech, ME, MTech degrees. Richbrain Technologies can be contacted by mobile phone or email to discuss these 2014 IEEE final year student projects.
This document provides contact information for Richbrain Technologies and lists 64 potential IEEE final year project titles related to cloud computing, distributed systems, wireless sensor networks, and other topics. The projects are aimed at students pursuing BE, BTech, ME, MTech degrees. Richbrain Technologies can be contacted by mobile phone or email to discuss these 2014 IEEE student projects.
2013 2014 ieee final year me,mtech studens for cse,it java project titlesRICHBRAINTECHNOLOGIES
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for reaching Richbrain Technologies by mobile or email to discuss the 2013-2014 IEEE final year projects.
2013 2014 ieee final sem me,mtech studens for cse,it java project titlesRICHBRAINTECHNOLOGIES
The document provides information about various IEEE final year projects available through Richbrain Technologies. It lists over 50 project titles within the areas of cloud computing, data mining, parallel distribution, and mobile computing. Contact information is provided at the top and bottom for students interested in the 2013-2014 IEEE projects.
2013 2014 ieee final sem students me,mtech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies provides IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It lists over 40 project titles in each of these areas and provides contact details to get in touch for these 2013-2014 IEEE final year student projects.
2013 2014 ieee final year students be,btech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides contact information for Richbrain Technologies and lists over 50 potential IEEE final year project titles in the areas of cloud computing, data mining, and parallel distribution. It includes mobile and email contacts and describes the projects as being for students in engineering fields like computer science, information technology, electronics, and electrical engineering.
This document lists over 80 potential cloud computing project titles and provides contact information for Richbrain Technologies, which offers IEEE final year projects. It includes projects related to load balancing, security, data storage, streaming, and other cloud computing topics. Students can contact Richbrain via the provided mobile number or email to obtain more details on specific projects.
This document provides contact information for Richbrain Technologies and lists 64 potential IEEE final year project titles related to cloud computing, distributed systems, wireless sensor networks, and other topics. The projects are aimed at students pursuing BE, BTech, ME, MTech degrees. Richbrain Technologies can be contacted by mobile phone or email to discuss these 2014 IEEE final year student projects.
This document provides contact information for Richbrain Technologies and lists 64 potential IEEE final year project titles related to cloud computing, distributed systems, wireless sensor networks, and other topics. The projects are aimed at students pursuing BE, BTech, ME, MTech degrees. Richbrain Technologies can be contacted by mobile phone or email to discuss these 2014 IEEE student projects.
The document lists 80 potential cloud computing project titles for students pursuing their B.E, B.Tech, M.E or M.Tech degrees. It provides contact information for Richbrain Technologies, an organization that assists with IEEE final year projects. The projects cover topics like load balancing, data security, resource management, and other technical aspects of cloud computing.
This document lists contact information and IEEE project titles from Richbrain Technologies. It provides titles for 38 IEEE projects related to mobile computing, ranging from efficient rekeying frameworks for secure multicast with mobile users to adaptive position update for geographic routing in mobile ad hoc networks. Contact details are provided to obtain more information about the IEEE projects.
This document provides contact information for Richbrain Technologies and lists over 50 potential IEEE final year project titles related to cloud computing, data mining, parallel distribution, and mobile computing. Students can contact Richbrain Technologies via phone or email to receive project guidance and assistance on topics such as load balancing in clouds, data mining algorithms, distributed systems, and routing protocols for mobile ad hoc networks.
This document lists contact information for Richbrain Technologies and describes that they provide IEEE final year projects for students in areas such as cloud computing and data mining. It provides titles and short descriptions of over 50 sample projects that students can select for their final year studies. The document aims to help students find and contact Richbrain to undertake an IEEE final year project.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas including mobile computing, cloud computing, data mining, and more. It contains over 40 project titles in each area along with contact details for the company that provides these projects.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various domains such as cloud computing, data mining, parallel distribution, mobile computing, networking, and network security. It contains over 100 potential project titles that students can choose from for their B.E., B.Tech, M.E or M.Tech degrees. Contact is provided via mobile number and email for students to learn more.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several domains including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics.
2013 2014 ieee final sem be,btech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final sem me,mtech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics.
2013 2014 ieee final year me,mtech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final year be,btech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final year students cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students in fields such as computer science, information technology, electronics and communication engineering. The project titles provided cover technologies including wireless networks, distributed systems, machine learning, and databases.
2013 2014 ieee final year students csee,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students in fields such as computer science, information technology, electronics and communication engineering. The project titles provided cover technologies including wireless networks, distributed systems, security, and algorithms. Contact details are given at the top and bottom for students to reach out regarding the projects.
2013 2014 ieee final sem students be,btech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final year students me,mtech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics with brief descriptions.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various domains like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different categories like parallel distribution systems, cloud computing, data mining etc.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The document lists 80 potential cloud computing project titles for students pursuing their B.E, B.Tech, M.E or M.Tech degrees. It provides contact information for Richbrain Technologies, an organization that assists with IEEE final year projects. The projects cover topics like load balancing, data security, resource management, and other technical aspects of cloud computing.
This document lists contact information and IEEE project titles from Richbrain Technologies. It provides titles for 38 IEEE projects related to mobile computing, ranging from efficient rekeying frameworks for secure multicast with mobile users to adaptive position update for geographic routing in mobile ad hoc networks. Contact details are provided to obtain more information about the IEEE projects.
This document provides contact information for Richbrain Technologies and lists over 50 potential IEEE final year project titles related to cloud computing, data mining, parallel distribution, and mobile computing. Students can contact Richbrain Technologies via phone or email to receive project guidance and assistance on topics such as load balancing in clouds, data mining algorithms, distributed systems, and routing protocols for mobile ad hoc networks.
This document lists contact information for Richbrain Technologies and describes that they provide IEEE final year projects for students in areas such as cloud computing and data mining. It provides titles and short descriptions of over 50 sample projects that students can select for their final year studies. The document aims to help students find and contact Richbrain to undertake an IEEE final year project.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas including mobile computing, cloud computing, data mining, and more. It contains over 40 project titles in each area along with contact details for the company that provides these projects.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various domains such as cloud computing, data mining, parallel distribution, mobile computing, networking, and network security. It contains over 100 potential project titles that students can choose from for their B.E., B.Tech, M.E or M.Tech degrees. Contact is provided via mobile number and email for students to learn more.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several domains including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics.
2013 2014 ieee final sem be,btech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final sem me,mtech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics.
2013 2014 ieee final year me,mtech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final year be,btech students for cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final year students cse,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students in fields such as computer science, information technology, electronics and communication engineering. The project titles provided cover technologies including wireless networks, distributed systems, machine learning, and databases.
2013 2014 ieee final year students csee,it dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles and topics in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students in fields such as computer science, information technology, electronics and communication engineering. The project titles provided cover technologies including wireless networks, distributed systems, security, and algorithms. Contact details are given at the top and bottom for students to reach out regarding the projects.
2013 2014 ieee final sem students be,btech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
2013 2014 ieee final year students me,mtech dotnet project titlesRICHBRAINTECHNOLOGIES
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various areas like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different topics with brief descriptions.
This document provides contact information for Richbrain Technologies and lists IEEE final year project titles in various domains like wireless sensor networks, cloud computing, data mining, and mobile computing. Richbrain Technologies offers IEEE projects for students pursuing BE, BTech, ME, MTech degrees in computer science, information technology, electronics and communication engineering, and electrical engineering. It provides mobile number and email address to contact for details about these projects. The document then lists several project titles under different categories like parallel distribution systems, cloud computing, data mining etc.
This document provides information about IEEE final year projects available through Richbrain Technologies. It lists over 100 potential project titles across several topics including mobile computing, cloud computing, wireless sensor networks, data mining and more. Contact information is provided to inquire further about specific projects.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
2013 2014 ieee final sem be,btech studens for cse,it java project titles
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CLOUD COMPUTING
1. A Load Balancing Model Based on Cloud Partitioning for the Public Cloud
2. Privacy-Preserving Public Auditing for Secure Cloud Storage
3. Winds of Change From Vendor Lock-In to the Meta Cloud.
4. Cloud computing for mobile users can offloading compution save energy.
5. On Data Staging Algorithms for Shared Data Accesses in Clouds
6. Enabling Dynamic Data and Indirect Mutual Trust for Cloud Computing
Storage Systems
7. AMES-Cloud: A Framework of Adaptive Mobile Video Streaming and
Efficient Social Video Sharing in the Clouds
8. CloudMoV: Cloud-based Mobile Social TV
9. QoS Ranking Prediction for Cloud Services
10.Privacy-Preserving Public Auditing for Secure Cloud Storage
11.A Stochastic Model to Investigate Data Center Performance and QoS in
IaaS Cloud Computing Systems
12.Privacy-Preserving Public Auditing for Secure Cloud Storage
13.Scalable and Secure Sharing of Personal Health Records in Cloud
Computing Using Attribute-Based Encryption
14.QoS Guarantees and Service Differentiation for Dynamic Cloud
Applications
15.An Adaptive Cloud Downloading Service
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CLOUD COMPUTING
16.Enabling Dynamic Data and Indirect Mutual Trust for Cloud Computing
Storage Systems
17.Performance Analysis of Multiuser Selection Scheme in Dynamic Home
Area Networks for Smart Grid Communications
18.Towards Secure Multi-Keyword Top-k Retrieval over Encrypted Cloud Data
19.Decentralized Controls and Communications for Autonomous Distribution
Networks in Smart Grid
20. Harnessing the Cloud for Securely Outsourcing Large-Scale Systems of
Linear Equations
21.Mona: Secure Multi-Owner Data Sharing for Dynamic Groups in the Cloud
22.PACK: Prediction-Based Cloud Bandwidth and Cost Reduction System
23.Simple and Effective Dynamic Provisioning for Power-Proportional Data
Centers
24.A Hierarchical Approach for the Resource Management of Very Large Cloud
Platforms
25.Using Cloud Computing to Implement a Security Overlay Network
26.okeanos: Building a Cloud, Cluster by Cluster
27.Design and Evaluation of a Virtual Experimental Environment for
Distributed Systems
28.Priority based dynamic resource allocation in Cloud computing with
modified waiting queue
29.SeDas: A Self-Destructing Data System Based on Active Storage
Framework
30.Cloud-Based Software Platform For Big Data Analytics In Smart Grids
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DATA MINING
1. A Fast Clustering-Based Feature Subset Selection Algorithm for High
Dimensional Data
2. A Framework for Mining Signatures from Event Sequences and Its
Applications in Healthcare Data
3. A Novel Profit Maximizing Metric for Measuring Classification Performance
of Customer Churn Prediction Models
4. A Survey of XML Tree Patterns
5. Change Detection in Streaming Multivariate Data Using Likelihood Detectors
6. Dynamic Personalized Recommendation on Sparse Data
7. Mining User Queries with Markov Chains: Application to Online Image
Retrieval
8. Optimal Route Queries with Arbitrary Order Constraints
9. Failure-Aware Cascaded Suppression in Wireless Sensor Networks
10.A New Algorithm for Inferring User Search Goals with Feedback Sessions
11.Annotating Search Results from Web Databases
12.Anomaly Detection via Online Over-Sampling Principal Component Analysis
13.Distributed Processing of Probabilistic Top-k Queries in Wireless Sensor
Networks
14.m-Privacy for Collaborative Data Publishing
15.Protecting Sensitive Labels in Social Network Data Anonymization
16.Tweet Analysis for Real-Time Event Detection and Earthquake
17.Reporting System Development
18.New Avenues in Opinion Mining and Sentiment Analysis
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DATA MINING
19.The Minimum Consistent Subset Cover Problem: A Minimization View of
Data Mining
20.A Framework for Mining Signatures from Event Sequences and Its
Applications in Healthcare Data
21.TrustedDB: A Trusted Hardware Based Database with Privacy and Data
Confidentiality
22.Mining User Queries with Markov Chains: Application to Online Image
Retrieval
23.PMSE: A Personalized Mobile Search Engine
24.Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology
and Rule-Based Model
25.Distributed Processing of Probabilistic Top-k Queries in Wireless Sensor
Networks
26.Evaluating Data Reliability An Evidential Answer with Application to a Web-
Enabled Data Warehouse
27.Maximum Likelihood Estimation from Uncertain Data in the Belief Function
Framework
28.Ranking on Data Manifold with Sink Points
29.Region-Based Foldings in Process Discovery
30.Relationships between Diversity of Classification Ensembles and Single-
Class Performance Measures
31.T-Drive Enhancing Driving Directions with Taxi Drivers’ Intelligence
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DATA MINING
32.The Generalization Ability of Online Algorithms for Dependent Data
33.Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering
Algorithm
34.Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology
and Rule-Based Model
35.A Graph-Based Consensus Maximization Approach for Combining Multiple
Supervised and Unsupervised Models
36.Ontology Matching: State of the Art and Future Challenges
37.Large Graph Analysis in the GMine System
38.Nonadaptive Mastermind Algorithms for String and Vector Databases, with
Case Studies
39.Nonadaptive Mastermind Algorithms for String and Vector Databases, with
Case Studies
40.A System to Filter Unwanted Messages from OSN User Walls
41.A Rough-Set-Based Incremental Approach for Updating Approximations
under Dynamic Maintenance Environments
42.A Proxy-Based Approach to Continuous Location-Based Spatial Queries in
Mobile Environments
43.A Generalized Flow-Based Method for Analysis of Implicit Relationships on
Wikipedia
44.AML: Efficient Approximate Membership Localization within a Web-Based
Join Framework
45.Event Tracking for Real-Time Unaware Sensitivity Analysis
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DATA MINING
46.Detecting Intrinsic Loops Underlying Data Manifold
47.Clustering Large Probabilistic Graphs
48.Anonymization of Centralized and Distributed Social Networks by Sequential
Clustering
49.Minimally Supervised Novel Relation Extraction Using a Latent Relational
Mapping
50.Finding Rare Classes: Active Learning with Generative and Discriminative
Models
51.Fast Activity Detection: Indexing for Temporal Stochastic Automaton-Based
Activity Models
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PARLLEL DISTRIBUTION
1. IP-Geolocation Mapping for Moderately Connected Internet Regions
2. A Secure Protocol for Spontaneous Wireless Ad Hoc Networks Creation
3. Analysis of Distance-Based Location Management in Wireless
Communication Networks.
4. Dynamic Resource Allocation Using Virtual Machines for Cloud Computing
Environment
5. Dynamic Optimization of Multiattribute Resource Allocation in Self-
Organizing Clouds
6. BAHG: Back-Bone-Assisted Hop Greedy Routing for VANET’s City
Environments
7. Towards Differential Query Services in Cost-Efficient Clouds.
8. A Privacy Leakage Upper-bound Constraint based Approach for Cost-
effective Privacy Preserving of Intermediate Datasets in Cloud.
9. Enabling Data Dynamic and Indirect Mutual Trust for Cloud Computing
Storage Systems.
10.ASAP: An Adaptive Sampling Approach to Data Collection in Sensor
Networks.
11.A Secure Protocol for Spontaneous Wireless Ad Hoc Networks Creation
12.Enabling Dynamic Data and Indirect Mutual Trust for Cloud Computing
Storage Systems
13.IP-Geolocation Mapping for Moderately Connected Internet Regions
14.Optimal Client-Server Assignment for Internet Distributed Systems
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MOBILE COMPUTING
1. A Neighbor Coverage-Based Probabilistic Rebroadcast for Reducing
Routing Overhead in Mobile Ad Hoc Networks
2. EAACK—A Secure Intrusion-Detection System for MANETs
3. Vampire attacks: Draining life from wireless ad-hoc sensor networks.
4. Towards a Statistical Framework for Source Anonymity in Sensor
Networks
5. Relay Selection for Geographical Forwarding in Sleep-Wake Cycling
Wireless Sensor Networks
6. Passive Duplicate Address-Detection Schemes for On-Demand Routing
Protocols in Mobile Ad Hoc Networks
7. On Quality of Monitoring for Multi-channel Wireless Infrastructure
Networks
8. Mobile Relay Configuration in Data-Intensive Wireless Sensor Networks
9. IP-Geolocation Mapping for Moderately Connected Internet Regions
10.Efficient Rekeying Framework for Secure Multicast with Diverse-
Subscription-Period Mobile Users
11.EMAP: Expedite Message Authentication Protocol for Vehicular Ad Hoc
Networks
12. Adaptive Position Update for Geographic Routing in Mobile Ad Hoc
Networks
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MOBILE COMPUTING
13.DCIM: Distributed Cache Invalidation Method for Maintaining Cache
Consistency in Wireless Mobile Networks
14.Adaptive Position Update for Geographic Routing in Mobile Ad Hoc
Networks
15.Cooperative Packet Delivery in Hybrid Wireless Mobile Networks: A
Coalitional Game Approach
16.Content Sharing over Smartphone-Based Delay-Tolerant Networks
17. Discovery and Verification of Neighbor Positions in Mobile Ad Hoc
Networks
18.Capacity of Hybrid Wireless Mesh Networks with Random APs
19.Channel Assignment for Throughput Optimization in Multichannel
Multiradio Wireless Mesh Networks Using Network Coding
20.Delay-Optimal Broadcast for Multihop Wireless Networks Using Self-
Interference Cancellation
21.EMAP Expedite Message Authentication Protocol for Vehicular Ad Hoc
Networks
22.Power Allocation for Statistical QoS Provisioning in Opportunistic Multi-
Relay DF Cognitive Networks
23.Pulse Switching Toward a Packet-Less Protocol Paradigm for Event
Sensing
24.Quality-Differentiated Video Multicast in Multirate Wireless Networks
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MOBILE COMPUTING
25.Sink Trail A Proactive Data Reporting Protocol for Wireless Sensor
Networks
26.Target Tracking and Mobile Sensor Navigation in Wireless Sensor
Networks
27.Evaluating Temporal Robustness of Mobile Networks
28.A Resource Allocation Scheme for Scalable Video Multicast in WiMAX Relay
Networks
29.Toward Privacy Preserving and Collusion Resistance in a Location Proof
Updating System
30.SSD: A Robust RF Location Fingerprint Addressing Mobile Devices’
Heterogeneity
31.An Investigation on LTE Mobility Management
32.On Exploiting Transient Social Contact Patterns for Data Forwarding in
Delay-Tolerant Networks
33.Channel Allocation and Routing in Hybrid Multichannel Multiradio Wireless
Mesh Networks
34.On the Real-Time Hardware Implementation Feasibility of Joint Radio
Resource Management Policies for Heterogeneous Wireless Networks
35.Simple Hybrid and Incremental Postpruning Techniques for Rule Induction
36.Supporting Search-As-You-Type Using SQL in Databases
37.Reinforced Similarity Integration in Image-Rich Information Networks
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MOBILE COMPUTING
38.Autonomous Sensing Order Selection Strategies Exploiting Channel Access
Information
39.Mobile Relay Configuration in Data-Intensive Wireless Sensor Networks
40.Toward a Statistical Framework for Source Anonymity in Sensor Networks
41.On Centralized and Localized Approximation Algorithms for Interference-
Aware Broadcast Scheduling
42.Model-Based Analysis of Wireless System Architectures for Real-Time
Applications
43.Successive Interference Cancellation: Carving Out MAC Layer
Opportunities
44.Vampire Attacks: Draining Life from Wireless Ad Hoc Sensor Networks
45.Group-Based Medium Access Control for IEEE 802.11n Wireless LANs
46.Discovery and Verification of Neighbor Positions in Mobile Ad Hoc
Networks
47.A Secure Payment Scheme with Low Communication and Processing
Overhead for Multihop Wireless Networks
48.A Scalable Server Architecture for Mobile Presence Services in Social
Network Applications
49.Secure Communication Based on Ambient Audio
50.Successive Interference Cancellation: Carving Out MAC Layer
Opportunities
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MOBILE COMPUTING
51.Cross-Layer Design of Congestion Control and Power Control in Fast-
Fading Wireless Networks
52.Coloring-Based Inter-WBAN Scheduling for Mobile Wireless Body Area
Networks
53.Cluster-Based Certificate Revocation with Vindication Capability for Mobile
Ad Hoc Networks
54.Analysis of Distance-Based Location Management in Wireless
Communication Networks
55.Gaussian versus Uniform Distribution for Intrusion Detection in Wireless
Sensor Networks
56.Fast Channel Zapping with Destination-Oriented Multicast for IP Video
Delivery
57.Exploiting Ubiquitous Data Collection for Mobile Users in Wireless Sensor
Networks
58.Dynamic Coverage of Mobile Sensor Networks
59.In-Network Estimation with Delay Constraints in Wireless Sensor
Networks
60.Cross-Layer Design of Congestion Control and Power Control in Fast-
Fading Wireless Networks
61.Micro architecture of a Coarse-Grain Out-of-Order Superscalar Processor
62.Jamming Games in the MIMO Wiretap Channel With an Active
Eavesdropper
63.IDM: An Indirect Dissemination Mechanism for Spatial Voice Interaction in
Networked Virtual Environments
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NETWORKING
1. PACK: Prediction-Based Cloud Bandwidth and Cost Reduction
System
2. Novel Packet-Level Resource Allocation with Effective QoS
Provisioning for Wireless Mesh Networks
3. Localization of Wireless Sensor Networks in the Wild: Pursuit of
Ranging Quality
4. Exploring the Design Space of Multichannel Peer-to-Peer Live Video
Streaming Systems
5. Efficient Algorithms for Neighbor Discovery in Wireless Networks
6. Diffusion Dynamics of Network Technologies With Bounded
Rational Users: Aspiration-Based Learning
7. Answering “What-If” Deployment and Configuration Questions With
WISE: Techniques and Deployment Experience
8. An Empirical Interference Modeling for Link Reliability Assessment
in Wireless Networks
9. An Efficient and Robust Addressing Protocol for Node
Autoconfiguration in Ad Hoc Networks
10.A Rank Correlation Based Detection against Distributed Reflection
DoS Attacks
11.Optimizing Cloud Resources for Delivering IPTV Services through
Virtualization.
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NETWORKING
12. Participatory Privacy Enabling Privacy in Participatory Sensing.
13.A Highly Scalable Key Pre-Distribution Scheme for Wireless Sensor
Networks
14.Delay-Based Network Utility Maximization
15.Dynamic Control of Coding for Progressive Packet Arrivals in DTNs
16.A Distributed Control Law for Load Balancing in Content Delivery
Networks
17.Resource Allocation for QoS Support in Wireless Mesh Networks
18.Efficient Algorithms for Neighbor Discovery in Wireless Networks
19.Localization of Wireless Sensor Networks in the Wild: Pursuit of
Ranging Quality
20.A Decentralized Service Discovery Approach on Peer-to-Peer
Networks
21.PACK: Prediction-Based Cloud Bandwidth and Cost Reduction
System
22.Multicast Capacity in MANET with Infrastructure Support
23.Max-Flow Min-Cost Routing in a Future-Internet with Improved
QoS Guarantees
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NETWORKING
24.On the Delivery Probability of Two-Hop Relay MANETs with Erasure
Coding
25.In-Network Estimation with Delay Constraints in Wireless Sensor
Networks
26.A Data Fusion Technique for Wireless Ranging Performance
Improvement
27.Harvesting-Aware Energy Management for Time-Critical Wireless
Sensor Networks With Joint Voltage and Modulation Scaling
28.Importance of Coherence Protocols with Network Applications on
Multicore Processors
29.Jamming Games in the MIMO Wiretap Channel With an Active
Eavesdropper
30.Modeling and Optimizing the Performance- Security Tradeoff on D-
NCS Using the Coevolutionary Paradigm
31.Receiver-Driven Adaptive Enhancement Layer Switching Algorithm
for Scalable Video Transmission Over Link-adaptive Networks
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NETWORKSECURITY
1. A Secure Protocol for Spontaneous Wireless Ad Hoc Networks
Creation
2. A Highly Scalable Key Pre-Distribution Scheme for Wireless Sensor
Networks
3. SORT: A Self-ORganizing Trust Model for Peer-to-Peer Systems
4. Privacy Preserving Data Sharing With Anonymous ID Assignment
5. Identity-Based Secure Distributed Data Storage Schemes
6. NICE: Network Intrusion Detection and Countermeasure Selection
in Virtual Network Systems
7. Modeling the Pairwise Key Predistribution Scheme in the Presence
of Unreliable Links
8. Distance Bounding A Practical Security Solution for Real-Time
Location Systems
9. EAACK—A Secure Intrusion-Detection System for MANETs
10.Security Analysis of a Single Sign-On Mechanism for Distributed
Computer Networks
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IMAGE PROCESSING
1. Fuzzy C-Means Clustering With Local Information and Kernel Metric for
Image Segmentation
2. Framework for image retrieval using machine learning and statistical
similarity matching techniques
3. De-noising MRI Using Spectral Subtraction
4. Mining Semantic Context Information for Intelligent Video Surveillance of
Traffic Scenes
5. Super-Resolution-based Inpainting.
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SERVICE COMPUTING
1. Privacy-Enhanced Web Service Composition
2. Enforcing Secure and Privacy-Preserving Information Brokering in
Distributed Information Sharing
3. NICE: Network Intrusion Detection and Countermeasure Selection
in Virtual Network Systems
4. Document Clustering for Forensic Analysis: An Approach for
Improving Computer Inspection
5. Enforcing Secure and Privacy-Preserving Information Brokering in
Distributed Information Sharing
6. A Decentralized Service Discovery Approach on Peer-to-Peer
Networks
7. Personalized QoS-Aware Web Service Recommendation and
Visualization
8. Privacy-Enhanced Web Service Composition
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IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 FINAL YEAR PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 JAVA PROJECTS
IEEE Final Year Projects 2013 |Student Projects|
IEEE PROJECT TITLES FOR STUDENTS B.E., B.TECH., M.E,M.TECH
Contact Mobile: (0) 9849539085
Contact Email: richbraintech@gmail.com
SECURE COMPUTING
1. CAM: Cloud-Assisted Privacy Preserving Mobile Health Monitoring.
2. Secure Encounter-based Mobile Social Networks Requirements
Designs and Tradeoffs.
3. Two tales of privacy in online social networks.
4. EAACK—A Secure Intrusion-Detection System for MANETs
5. Identity-Based Secure Distributed Data Storage Schemes
6. Modeling the Pairwise Key Predistribution Scheme in the Presence
of Unreliable Links
7. NICE: Network Intrusion Detection and Countermeasure Selection
in Virtual Network Systems
8. Privacy Preserving Data Sharing With Anonymous ID Assignment
9. Securing Class Initialization in Java-like Languages
10.Security Analysis of a Single Sign-On Mechanism for Distributed
Computer Networks
11.SORT: A Self-ORganizing Trust Model for Peer-to-Peer Systems
12.WARNINGBIRD: A Near Real-time Detection System for Suspicious
URLs in Twitter Stream