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 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.
The document proposes a personalized mobile search engine called PMSE that captures user preferences through clickthrough data mining and classifies concepts into content and location categories. PMSE uses an ontology-based user profile to personalize search rankings based on the user's current location provided by GPS. It introduces four entropies to balance weights between content and location facets for query results. The client collects local clickthrough data for privacy while heavy tasks are done on the PMSE server. Two privacy parameters restrict profile information exposed to the server. The system was prototyped on Android and experimental results showed improved precision over baseline methods.
The document appears to be advertising IEEE final year projects from Richbrain Technologies for students in various engineering disciplines such as computer science, IT, electronics, and electrical engineering. It provides contact information and lists several potential project titles in areas like cloud computing, data mining, parallel distribution, and mobile computing that students can select for their final year projects.
Efficient rekeying framework for secure multicast with diverse subscription-p...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Enforcing secure and privacy preserving information brokering in distributed ...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Pack prediction based cloud bandwidth and cost reduction systemIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Facilitating document annotation using content and querying valueIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
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.
The document proposes a personalized mobile search engine called PMSE that captures user preferences through clickthrough data mining and classifies concepts into content and location categories. PMSE uses an ontology-based user profile to personalize search rankings based on the user's current location provided by GPS. It introduces four entropies to balance weights between content and location facets for query results. The client collects local clickthrough data for privacy while heavy tasks are done on the PMSE server. Two privacy parameters restrict profile information exposed to the server. The system was prototyped on Android and experimental results showed improved precision over baseline methods.
The document appears to be advertising IEEE final year projects from Richbrain Technologies for students in various engineering disciplines such as computer science, IT, electronics, and electrical engineering. It provides contact information and lists several potential project titles in areas like cloud computing, data mining, parallel distribution, and mobile computing that students can select for their final year projects.
Efficient rekeying framework for secure multicast with diverse subscription-p...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Enforcing secure and privacy preserving information brokering in distributed ...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Pack prediction based cloud bandwidth and cost reduction systemIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Facilitating document annotation using content and querying valueIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
This paper describes a new approach to machine learning that uses crowdsourcing to develop predictive models of behavioral outcomes. Users on a website generate questions to collect data on predictors of an outcome like energy usage or BMI. They also answer questions to provide values for potential predictors. Models are built using this user-generated data to predict individual outcomes. Two experiments successfully built models predicting monthly energy usage and BMI based on questions crowdsourced by users. This demonstrates that non-experts can collectively identify predictive features and provide data to build models of behavioral outcomes through an interactive online process.
2013 2014 ieee finalyear me mtech java projects richbraintechnologiesIEEEFINALYEARPROJECTS
The document appears to be advertising IEEE final year projects from Richbrain Technologies for students in various engineering disciplines such as computer science, IT, electronics, and electrical engineering. It provides contact information and lists several potential project titles in areas like cloud computing, data mining, parallel distribution, and mobile computing that students can select for their final year projects.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Facilitating document annotation using content and querying valueIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Secure and efficient data transmission for cluster based wireless sensor netw...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
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.
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.
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.
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.
Ieee 2013 2014 final year students cse,it dotnet projects richbrain technologiesRICHBRAINPROJECTS
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 technology areas.
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.
Ieee 2013 2014 final year dotnet project titlesRICHBRAINTECH
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, data mining, wireless sensor networks, 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 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 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.
Ieee 2013 2014 final sem be,btech students for cse,it dotnet project titlesRICHBRAINTECH
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 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 be btech me mtech dotnet projects richbrain technologiesRICHBRAINPROJECTS
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 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.
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.
This paper describes a new approach to machine learning that uses crowdsourcing to develop predictive models of behavioral outcomes. Users on a website generate questions to collect data on predictors of an outcome like energy usage or BMI. They also answer questions to provide values for potential predictors. Models are built using this user-generated data to predict individual outcomes. Two experiments successfully built models predicting monthly energy usage and BMI based on questions crowdsourced by users. This demonstrates that non-experts can collectively identify predictive features and provide data to build models of behavioral outcomes through an interactive online process.
2013 2014 ieee finalyear me mtech java projects richbraintechnologiesIEEEFINALYEARPROJECTS
The document appears to be advertising IEEE final year projects from Richbrain Technologies for students in various engineering disciplines such as computer science, IT, electronics, and electrical engineering. It provides contact information and lists several potential project titles in areas like cloud computing, data mining, parallel distribution, and mobile computing that students can select for their final year projects.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Facilitating document annotation using content and querying valueIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Secure and efficient data transmission for cluster based wireless sensor netw...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
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.
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.
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.
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.
Ieee 2013 2014 final year students cse,it dotnet projects richbrain technologiesRICHBRAINPROJECTS
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 technology areas.
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.
Ieee 2013 2014 final year dotnet project titlesRICHBRAINTECH
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, data mining, wireless sensor networks, 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 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 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.
Ieee 2013 2014 final sem be,btech students for cse,it dotnet project titlesRICHBRAINTECH
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 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 be btech me mtech dotnet projects richbrain technologiesRICHBRAINPROJECTS
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 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.
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 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 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.
Ieee 2013 2014 final year me,mtech students for cse,it dotnet project titlesRICHBRAINTECH
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, data mining, wireless sensor networks, 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 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 data analytics.
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
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van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
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.
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.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
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.
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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
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PARLLEL DISTRIBUTION
1. Lightweight Location Verification Algorithms for Wireless Sensor
Networks
2. Heterogeneous Resource Allocation under Degree Constraints
3. Harnessing the Cloud for Securely Outsourcing Large-Scale Systems
of Linear Equations
4. GKAR: A Novel Geographic K-Anycast Routing for Wireless Sensor
Networks
5. Error-Tolerant Resource Allocation and Payment Minimization for
Cloud System
6. Dynamic Resource Allocation Using Virtual Machines for Cloud
Computing Environment
7. Dynamic Optimization of Multiattribute Resource Allocation in Self-
Organizing Clouds
8. BAHG: Back-Bone-Assisted Hop Greedy Routing for VANET’s City
Environments
9. ASAP: An Adaptive Sampling Approach to Data Collection in Sensor
Networks
10.A New Progressive Algorithm for a Multiple Longest Common
Subsequences Problem and Its Efficient Parallelization
11.A General Framework for Efficient Continuous Multidimensional
Top-k Query Processing in Sensor Networks
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PARLLEL DISTRIBUTION
12.A Secure Payment Scheme with Low Communication and
Processing Overhead for Multihop Wireless Networks
13.Multicast Capacity in MANET with Infrastructure Support
14.SPOC: A Secure and Privacy-Preserving Opportunistic Computing
Framework for Mobile-Healthcare Emergency
15.Enabling Data Dynamic and Indirect Mutual Trust for Cloud
Computing Storage Systems.
16.A Secure Protocol for Spontaneous Wireless Ad Hoc Networks
Creation
17.IP-Geolocation Mapping for Moderately Connected Internet Regions
18.Optimal Client-Server Assignment for Internet Distributed Systems
19.Privacy Preserving Back-Propagation Neural Network Learning Over
Arbitrarily Partitioned Data.
20.Mobi-Sync: Efficient Time Synchronization for Mobile Underwater
Sensor Networks.
21.Secure and Efficient Data Transmission for Cluster-based Wireless
Sensor Networks.
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CLOUD COMPUITNG
1. A Load Balancing Model Based on Cloud Partitioning for the Public
Cloud
2. Privacy-Preserving Public Auditing for Secure Cloud Storage
3. Scalable and Secure Sharing of Personal Health Records in Cloud
Computing Using Attribute-Based Encryption
4. Enabling Dynamic Data and Indirect Mutual Trust for Cloud
Computing Storage Systems
5. CloudMoV: Cloud-based Mobile Social TV
6. Privacy Preserving Delegated Access Control in Public Clouds.
7. Attribute-based Access to Scalable Media in Cloud-assisted Content
Sharing Networks.
8. A Privacy Leakage Upper Bound Constraint-Based Approach for
Cost-Effective Privacy Preserving of Intermediate Data Sets in
Cloud
9. An Adaptive Cloud Downloading Service
10.Enabling Dynamic Data and Indirect Mutual Trust for Cloud
Computing Storage Systems
11.Mona: Secure Multi-Owner Data Sharing for Dynamic Groups in the
Cloud
12.On Data Staging Algorithms for Shared Data Accesses in Clouds
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CLOUD COMPUITNG
13. Optimal Multiserver Configuration for Profit Maximization in Cloud
Computing
14.Privacy-Preserving Public Auditing for Secure Cloud Storage
15.QoS Ranking Prediction for Cloud Services
16.Scalable and Secure Sharing of Personal Health Records in Cloud
Computing Using Attribute-Based Encryption
17.Toward Fine-Grained, Unsupervised, Scalable Performance
Diagnosis for Production Cloud Computing Systems
18.Towards Secure Multi-Keyword Top-k Retrieval over Encrypted
Cloud Data
19.A Hierarchical Approach for the Resource Management of Very
Large Cloud Platforms
20.Using Cloud Computing to Implement a Security Overlay Network
21.okeanos: Building a Cloud, Cluster by Cluster
22.Design and Evaluation of a Virtual Experimental Environment for
Distributed Systems
23.Priority based dynamic resource allocation in Cloud computing with
modified waiting queue
24.SeDas: A Self-Destructing Data System Based on Active Storage
Framework
25.A Stochastic Model to Investigate Data Center Performance and
QoS in IaaS Cloud Computing Systems
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DATA MINING
1. A Fast Clustering-Based Feature Subset Selection Algorithm for
High Dimensional Data
2. Secure Mining of Association Rules in Horizontally Distributed
Databases.
3. A Novel Profit Maximizing Metric for Measuring Classification
Performance of Customer Churn Prediction Models
4. ELCA: Evaluation for Keyword Search on Probabilistic XML Data.
5. Change Detection in Streaming Multivariate Data Using Likelihood
Detectors
6. Evaluating Data Reliability An Evidential Answer with Application to
a Web-Enabled Data Warehouse
7. Clustering Sentence-Level Text Using a Novel Fuzzy Relational
Clustering Algorithm
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.A Survey of XML Tree Patterns
12.Dynamic Personalized Recommendation on Sparse Data
13.Mining User Queries with Markov Chains: Application to Online
Image Retrieval
14.TrustedDB: A Trusted Hardware based Database with Privacy and
Data Confidentiality
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DATA MINING
15.Automatic Semantic Content Extraction in Videos Using a Fuzzy
Ontology and Rule-Based Model
16.Distributed Processing of Probabilistic Top-k Queries in Wireless
Sensor Networks
17.Evaluating Data Reliability An Evidential Answer with Application to
a Web-Enabled Data Warehouse
18.Maximum Likelihood Estimation from Uncertain Data in the Belief
Function Framework
19.Ranking on Data Manifold with Sink Points
20.Region-Based Foldings in Process Discovery
21.Relationships between Diversity of Classification Ensembles and
Single-Class Performance Measures
22.T-Drive Enhancing Driving Directions with Taxi Drivers’ Intelligence
23.The Generalization Ability of Online Algorithms for Dependent Data
24.Clustering Sentence-Level Text Using a Novel Fuzzy Relational
Clustering Algorithm
25.Automatic Semantic Content Extraction in Videos Using a Fuzzy
Ontology and Rule-Based Model
26.A Graph-Based Consensus Maximization Approach for Combining
Multiple Supervised and Unsupervised Models
27.Ontology Matching: State of the Art and Future Challenges
28.Large Graph Analysis in the GMine System
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DATA MINING
29.Nonadaptive Mastermind Algorithms for String and Vector
Databases, with Case Studies
30.A System to Filter Unwanted Messages from OSN User Walls
31.A Rough-Set-Based Incremental Approach for Updating
Approximations under Dynamic Maintenance Environments
32.A Proxy-Based Approach to Continuous Location-Based Spatial
Queries in Mobile Environments
33.A Generalized Flow-Based Method for Analysis of Implicit
Relationships on Wikipedia
34.AML: Efficient Approximate Membership Localization within a Web-
Based Join Framework
35.Event Tracking for Real-Time Unaware Sensitivity Analysis
36.Detecting Intrinsic Loops Underlying Data Manifold
37.Clustering Large Probabilistic Graphs
38.Anonymization of Centralized and Distributed Social Networks by
Sequential Clustering
39.Minimally Supervised Novel Relation Extraction Using a Latent
Relational Mapping
40.Finding Rare Classes: Active Learning with Generative and
Discriminative Models
41.Fast Activity Detection: Indexing for Temporal Stochastic
Automaton-Based Activity Models
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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. Efficient Rekeying Framework for Secure Multicast with Diverse-
Subscription-Period Mobile Users
4. Toward Privacy Preserving and Collusion Resistance in a Location
Proof Updating System
5. Passive Duplicate Address-Detection Schemes for On-Demand
Routing Protocols in Mobile Ad Hoc Networks
6. On Quality of Monitoring for Multi-channel Wireless Infrastructure
Networks
7. Mobile Relay Configuration in Data-Intensive Wireless Sensor
Networks
8. IP-Geolocation Mapping for Moderately Connected Internet Regions
9. Efficient Rekeying Framework for Secure Multicast with Diverse-
Subscription-Period Mobile Users
10.EMAP: Expedite Message Authentication Protocol for Vehicular Ad
Hoc Networks
11.Adaptive Position Update for Geographic Routing in Mobile Ad Hoc
Networks
12.Cooperative Packet Delivery in Hybrid Wireless Mobile Networks: A
Coalitional Game Approach
13.EMAP: Expedite Message Authentication Protocol for Vehicular Ad
Hoc Networks
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MOBILE COMPUTING
14.Optimal Multicast Capacity and Delay Tradeoffs in MANETs
15.Analysis of Distance-Based Location Management in Wireless
Communication Networks
16.Gaussian versus Uniform Distribution for Intrusion Detection in
Wireless Sensor Networks
17.Fast Channel Zapping with Destination-Oriented Multicast for IP
Video Delivery
18.Exploiting Ubiquitous Data Collection for Mobile Users in Wireless
Sensor Networks
19.Dynamic Coverage of Mobile Sensor Networks
20.In-Network Estimation with Delay Constraints in Wireless Sensor
Networks
21.Cross-Layer Design of Congestion Control and Power Control in
Fast-Fading Wireless Networks
22.Micro architecture of a Coarse-Grain Out-of-Order Superscalar
Processor
23.Jamming Games in the MIMO Wiretap Channel With an Active
Eavesdropper
24.IDM: An Indirect Dissemination Mechanism for Spatial Voice
Interaction in Networked Virtual Environments
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MOBILE COMPUTING
25.Delay-Optimal Broadcast for Multihop Wireless Networks Using
Self-Interference Cancellation
26.EMAP Expedite Message Authentication Protocol for Vehicular Ad
Hoc Networks
27.Power Allocation for Statistical QoS Provisioning in Opportunistic
Multi-Relay DF Cognitive Networks
28.Pulse Switching Toward a Packet-Less Protocol Paradigm for Event
Sensing
29.Quality-Differentiated Video Multicast in Multirate Wireless
Networks
30.Sink Trail A Proactive Data Reporting Protocol for Wireless Sensor
Networks
31.Target Tracking and Mobile Sensor Navigation in Wireless Sensor
Networks
32.Evaluating Temporal Robustness of Mobile Networks
33.A Resource Allocation Scheme for Scalable Video Multicast in
WiMAX Relay Networks
34.Toward Privacy Preserving and Collusion Resistance in a Location
Proof Updating System
35.SSD: A Robust RF Location Fingerprint Addressing Mobile Devices’
Heterogeneity
36.An Investigation on LTE Mobility Management
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MOBILE COMPUTING
37.On Exploiting Transient Social Contact Patterns for Data Forwarding
in Delay-Tolerant Networks
38.Channel Allocation and Routing in Hybrid Multichannel Multiradio
Wireless Mesh Networks
39.On the Real-Time Hardware Implementation Feasibility of Joint
Radio Resource Management Policies for Heterogeneous Wireless
Networks
40.Simple Hybrid and Incremental Postpruning Techniques for Rule
Induction
41.Supporting Search-As-You-Type Using SQL in Databases
42.Reinforced Similarity Integration in Image-Rich Information
Networks
43.Autonomous Sensing Order Selection Strategies Exploiting Channel
Access Information
44.Mobile Relay Configuration in Data-Intensive Wireless Sensor
Networks
45.Toward a Statistical Framework for Source Anonymity in Sensor
Networks
46.On Centralized and Localized Approximation Algorithms for
Interference-Aware Broadcast Scheduling
47.Model-Based Analysis of Wireless System Architectures for Real-
Time Applications
48.Successive Interference Cancellation: Carving Out MAC Layer
Opportunities
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MOBILE COMPUTING
49.Vampire Attacks: Draining Life from Wireless Ad Hoc Sensor
Networks
50.Group-Based Medium Access Control for IEEE 802.11n Wireless
LANs
51.Discovery and Verification of Neighbor Positions in Mobile Ad Hoc
Networks
52.A Secure Payment Scheme with Low Communication and
Processing Overhead for Multihop Wireless Networks
53.A Scalable Server Architecture for Mobile Presence Services in
Social Network Applications
54.Secure Communication Based on Ambient Audio
55.Successive Interference Cancellation: Carving Out MAC Layer
Opportunities
56.Cross-Layer Design of Congestion Control and Power Control in
Fast-Fading Wireless Networks
57.Coloring-Based Inter-WBAN Scheduling for Mobile Wireless Body
Area Networks
58.Cluster-Based Certificate Revocation with Vindication Capability for
Mobile Ad Hoc Networks
59.Analysis of Distance-Based Location Management in Wireless
Communication Networks
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MOBILE COMPUTING
60.Gaussian versus Uniform Distribution for Intrusion Detection in
Wireless Sensor Networks
61.Fast Channel Zapping with Destination-Oriented Multicast for IP
Video Delivery
62.Exploiting Ubiquitous Data Collection for Mobile Users in Wireless
Sensor Networks
63.Dynamic Coverage of Mobile Sensor Networks
64.In-Network Estimation with Delay Constraints in Wireless Sensor
Networks
65.Cross-Layer Design of Congestion Control and Power Control in
Fast-Fading Wireless Networks
66.Micro architecture of a Coarse-Grain Out-of-Order Superscalar
Processor
67.Jamming Games in the MIMO Wiretap Channel With an Active
Eavesdropper
68.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. Exploring the Design Space of Multichannel Peer-to-Peer Live Video
Streaming Systems
4. Diffusion Dynamics of Network Technologies With Bounded
Rational Users: Aspiration-Based Learning
5. Delay-Based Network Utility Maximization
6. Answering “What-If” Deployment and Configuration Questions With
WISE: Techniques and Deployment Experience
7. An Empirical Interference Modeling for Link Reliability Assessment
in Wireless Networks
8. A Rank Correlation Based Detection against Distributed Reflection
DoS Attacks
9. A Distributed Control Law for Load Balancing in Content Delivery
Networks
10.A Highly Scalable Key Pre-Distribution Scheme for Wireless Sensor
Networks
11.An Efficient and Robust Addressing Protocol for Node Auto
configuration in Ad Hoc Networks
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NETWORKING
12.BAHG: Back-Bone-Assisted Hop Greedy Routing for VANET’s City
Environments
13.Efficient Algorithms for Neighbor Discovery in Wireless Networks
14. Localization of Wireless Sensor Networks in the Wild: Pursuit of
Ranging Quality
15.Resource Allocation for QoS Support in Wireless Mesh Networks
16.On the Delivery Probability of Two-Hop Relay MANETs with Erasure
Coding
17.In-Network Estimation with Delay Constraints in Wireless Sensor
Networks
18.A Data Fusion Technique for Wireless Ranging Performance
Improvement
19.Harvesting-Aware Energy Management for Time-Critical Wireless
Sensor Networks With Joint Voltage and Modulation Scaling
20.Importance of Coherence Protocols with Network Applications on
Multicore Processors
21.Jamming Games in the MIMO Wiretap Channel With an Active
Eavesdropper
22.Modeling and Optimizing the Performance- Security Tradeoff on D-
NCS Using the Coevolutionary Paradigm
23.Receiver-Driven Adaptive Enhancement Layer Switching Algorithm
for Scalable Video Transmission Over Link-adaptive Networks
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IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET 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
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. A Decentralized Service Discovery Approach on Peer-to-Peer Networks
6. Personalized QoS-Aware Web Service Recommendation and Visualization
17. Mobile: (0) 9849539085 Email: richbraintech@gmail.com
IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET 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
IMAGE PROCESSING
1. Query-Adaptive Image Search With Hash Codes
2. Reversible Data Hiding With Optimal Value Transfer
3. Reversible Watermarking Based on Invariant Image Classification and
Dynamic Histogram Shifting
4. Local Directional Number Pattern for Face Analysis: Face and
Expression Recognition
5. Noise Reduction Based on Partial-Reference, Dual-Tree Complex
Wavelet Transform Shrinkage
6. Secure Mining of Association Rules in Horizontally Distributed
Databases
18. Mobile: (0) 9849539085 Email: richbraintech@gmail.com
IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET 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. A Rank Correlation Based Detection against Distributed Reflection
DoS Attacks.
2. EAACK—A Secure Intrusion-Detection System for MANETs
3. Enforcing Secure and Privacy-Preserving Information Brokering in
Distributed Information Sharing
4. Modeling the Pairwise Key Predistribution Scheme in the Presence
of Unreliable Links
5. Privacy Preserving Data Sharing With Anonymous ID Assignment
6. SORT: A Self-ORganizing Trust Model for Peer-to-Peer Systems
7. Modeling the Pairwise Key Predistribution Scheme in the Presence
of Unreliable Links
8. Securing Class Initialization in Java-like Languages
9. Security Analysis of a Single Sign-On Mechanism for Distributed
Computer Networks
10.WARNINGBIRD: A Near Real-time Detection System for Suspicious
URLs in Twitter Stream
11.Non-Cooperative Location Privacy.
12.Transfer Reliability and Congestion Control Strategies in
Opportunistic Networks A Survey.
13.The Target Tracking in Mobile Sensor Networks.
14.Redundancy Management of Multipath Routing for Intrusion
Tolerance in Heterogeneous Wireless Sensor Networks..
19. Mobile: (0) 9849539085 Email: richbraintech@gmail.com
IEEE 2013-2014 PROJECTS@RICHBRAIN TECHNOLOGIES
IEEE FINAL YEAR PROJECTS FOR B.E, B.TECH, M.E, M.TECH
IEEE 2013-2014 PROJECTS FOR CSE, IT, ECE, EEE
IEEE 2013-14 DOTNET 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
WIRELESS COMMUNICATION
1. Dynamic Control of Coding for Progressive Packet Arrivals in DTN
2. Resource Allocation for QoS Support in Wireless Mesh Networks
MULTIMEDIA
1. Beyond Text QA: Multimedia Answer Generation by Harvesting
Web Information