Ready Made Projects Available Here Projects On ML, DL, AI, Java, Cloud Computing , Python ,Image Processing , Distributed Systems & Parallel Processing Further details Can Call me 9581211810
The next phase of Smart Network Convergence could be putting Deep Learning systems on the Internet. Deep Learning and Blockchain Technology might be combined in the smart networks of the future for automated identification (deep learning) and automated transaction (blockchain). Large scale future-class problems might be addressed with Blockchain Deep Learning nets as an advanced computational infrastructure, challenges such as million-member genome banks, energy storage markets, global financial risk assessment, real-time voting, and asteroid mining.
Blockchain Deep Learning nets and Smart Networks more generally are computing networks with intelligence built in such that identification and transfer is performed by the network itself through sophisticated protocols that automatically identify (deep learning), and validate, confirm, and route transactions (blockchain) within the network.
This is a presentation on Handwritten Digit Recognition using Convolutional Neural Networks. Convolutional Neural Networks give better results as compared to conventional Artificial Neural Networks.
Artificial Intelligence,
History of Artificial Intelligence,
Artificial Intelligence Use Cases,
Artificial Intelligence Applications,
Ways of Achieving AI,
Machine Learning,
Deep Learning,
Supervised and Unsupervised Learning,
Classification Vs Prediction,
TensorFlow,
TensorFlow Graphs,
History of TensorFlow,
Companies using TensorFlow,
Using Deep Q Networks to Learn Video Game Strategies,
TensorFlow Use Cases,
AI & Deep Learning with TensorFlow,
How TensorFlow used today
For more updates on Big Data, Cloud Computing, Data Analytics, Artificial Intelligence, IoT subscribe to http://www.mybigdataanalytics.in
Talk @ ACM SF Bayarea Chapter on Deep Learning for medical imaging space.
The talk covers use cases, special challenges and solutions for Deep Learning for Medical Image Analysis using Tensorflow+Keras. You will learn about:
- Use cases for Deep Learning in Medical Image Analysis
- Different DNN architectures used for Medical Image Analysis
- Special purpose compute / accelerators for Deep Learning (in the Cloud / On-prem)
- How to parallelize your models for faster training of models and serving for inferenceing.
- Optimization techniques to get the best performance from your cluster (like Kubernetes/ Apache Mesos / Spark)
- How to build an efficient Data Pipeline for Medical Image Analysis using Deep Learning
- Resources to jump start your journey - like public data sets, common models used in Medical Image Analysis
The next phase of Smart Network Convergence could be putting Deep Learning systems on the Internet. Deep Learning and Blockchain Technology might be combined in the smart networks of the future for automated identification (deep learning) and automated transaction (blockchain). Large scale future-class problems might be addressed with Blockchain Deep Learning nets as an advanced computational infrastructure, challenges such as million-member genome banks, energy storage markets, global financial risk assessment, real-time voting, and asteroid mining.
Blockchain Deep Learning nets and Smart Networks more generally are computing networks with intelligence built in such that identification and transfer is performed by the network itself through sophisticated protocols that automatically identify (deep learning), and validate, confirm, and route transactions (blockchain) within the network.
This is a presentation on Handwritten Digit Recognition using Convolutional Neural Networks. Convolutional Neural Networks give better results as compared to conventional Artificial Neural Networks.
Artificial Intelligence,
History of Artificial Intelligence,
Artificial Intelligence Use Cases,
Artificial Intelligence Applications,
Ways of Achieving AI,
Machine Learning,
Deep Learning,
Supervised and Unsupervised Learning,
Classification Vs Prediction,
TensorFlow,
TensorFlow Graphs,
History of TensorFlow,
Companies using TensorFlow,
Using Deep Q Networks to Learn Video Game Strategies,
TensorFlow Use Cases,
AI & Deep Learning with TensorFlow,
How TensorFlow used today
For more updates on Big Data, Cloud Computing, Data Analytics, Artificial Intelligence, IoT subscribe to http://www.mybigdataanalytics.in
Talk @ ACM SF Bayarea Chapter on Deep Learning for medical imaging space.
The talk covers use cases, special challenges and solutions for Deep Learning for Medical Image Analysis using Tensorflow+Keras. You will learn about:
- Use cases for Deep Learning in Medical Image Analysis
- Different DNN architectures used for Medical Image Analysis
- Special purpose compute / accelerators for Deep Learning (in the Cloud / On-prem)
- How to parallelize your models for faster training of models and serving for inferenceing.
- Optimization techniques to get the best performance from your cluster (like Kubernetes/ Apache Mesos / Spark)
- How to build an efficient Data Pipeline for Medical Image Analysis using Deep Learning
- Resources to jump start your journey - like public data sets, common models used in Medical Image Analysis
basics of GAN neural network
GAN is a advanced tech in area of neural networks which will help to generate new data . This new data will be developed based over the past experiences and raw data.
Half day session on Machine learning and its applications. It introduces Artificial Intelligence, move on Machine Learning, applications, algorithms, types, using Cloud for ML, Deep Learning and some resources to start with
In this project, we propose methods for semantic segmentation with the deep learning state-of-the-art models. Moreover,
we want to filterize the segmentation to the specific object in specific application. Instead of concentrating on unnecessary objects we
can focus on special ones and make it more specialize and effecient for special purposes. Furtheromore, In this project, we leverage
models that are suitable for face segmentation. The models that are used in this project are Mask-RCNN and DeepLabv3. The
experimental results clearly indicate that how illustrated approach are efficient and robust in the segmentation task to the previous work
in the field of segmentation. These models are reached to 74.4 and 86.6 precision of Mean of Intersection over Union. The visual
Results of the models are shown in Appendix part.
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
Artificial Intelligence Machine Learning Deep Learning Ppt Powerpoint Present...SlideTeam
Choose our Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Presentation Slide Templates to understand this popular branch of computer science. Acquaint your audience with the process of building smart, capable machines that can perform intelligent tasks with the help of this neural network PPT presentation. Exhibit the difference between AI, machine learning, and deep learning through this informative robotics PPT design. Elaborate on the wide range of areas that can benefit from artificial intelligence like supply chain, customer experience, human resources, fraud detection, research, and development by taking the aid of this computer science PPT slideshow. Highlight the booming rate of AI business and its future revenue forecast by downloading this thought-provoking and indulging information technology PowerPoint graphics. Save your time and efforts with these pre-ready and professionally crafted content-specific slides. It will educate your audience about this complex process in an easy yet efficient way. Download this AI functioning PowerPoint deck to create a roadmap for the growth and expansion of your business. https://bit.ly/3x135nD
Index.....................
History of Machine Learning.
What is Machine Learning.
Why ML.
Learning System Model.
Training and Testing.
Performance.
Algorithms.
Machine Learning Structure.
Application.
Conclusion.
----------------------------------------------
THANK YOU
Learn the fundamentals of Deep Learning, Machine Learning, and AI, how they've impacted everyday technology, and what's coming next in Artificial Intelligence technology.
In this article, we will explore an exciting project in the field of machine learning. We delve into the fascinating world of IEEE Machine Learning and discuss its implications for various industries. Stay tuned as we uncover the latest advancements and applications in this rapidly evolving field. Get ready to embark on a journey of discovery as we unravel the mysteries of machine learning through the lens of this groundbreaking project.
basics of GAN neural network
GAN is a advanced tech in area of neural networks which will help to generate new data . This new data will be developed based over the past experiences and raw data.
Half day session on Machine learning and its applications. It introduces Artificial Intelligence, move on Machine Learning, applications, algorithms, types, using Cloud for ML, Deep Learning and some resources to start with
In this project, we propose methods for semantic segmentation with the deep learning state-of-the-art models. Moreover,
we want to filterize the segmentation to the specific object in specific application. Instead of concentrating on unnecessary objects we
can focus on special ones and make it more specialize and effecient for special purposes. Furtheromore, In this project, we leverage
models that are suitable for face segmentation. The models that are used in this project are Mask-RCNN and DeepLabv3. The
experimental results clearly indicate that how illustrated approach are efficient and robust in the segmentation task to the previous work
in the field of segmentation. These models are reached to 74.4 and 86.6 precision of Mean of Intersection over Union. The visual
Results of the models are shown in Appendix part.
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
Deep Learning - The Past, Present and Future of Artificial IntelligenceLukas Masuch
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist).
What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).
Artificial Intelligence Machine Learning Deep Learning Ppt Powerpoint Present...SlideTeam
Choose our Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Presentation Slide Templates to understand this popular branch of computer science. Acquaint your audience with the process of building smart, capable machines that can perform intelligent tasks with the help of this neural network PPT presentation. Exhibit the difference between AI, machine learning, and deep learning through this informative robotics PPT design. Elaborate on the wide range of areas that can benefit from artificial intelligence like supply chain, customer experience, human resources, fraud detection, research, and development by taking the aid of this computer science PPT slideshow. Highlight the booming rate of AI business and its future revenue forecast by downloading this thought-provoking and indulging information technology PowerPoint graphics. Save your time and efforts with these pre-ready and professionally crafted content-specific slides. It will educate your audience about this complex process in an easy yet efficient way. Download this AI functioning PowerPoint deck to create a roadmap for the growth and expansion of your business. https://bit.ly/3x135nD
Index.....................
History of Machine Learning.
What is Machine Learning.
Why ML.
Learning System Model.
Training and Testing.
Performance.
Algorithms.
Machine Learning Structure.
Application.
Conclusion.
----------------------------------------------
THANK YOU
Learn the fundamentals of Deep Learning, Machine Learning, and AI, how they've impacted everyday technology, and what's coming next in Artificial Intelligence technology.
In this article, we will explore an exciting project in the field of machine learning. We delve into the fascinating world of IEEE Machine Learning and discuss its implications for various industries. Stay tuned as we uncover the latest advancements and applications in this rapidly evolving field. Get ready to embark on a journey of discovery as we unravel the mysteries of machine learning through the lens of this groundbreaking project.
Stock Inventory Management System Project Report Contents ...
https://www.coursehero.com › file › Project-Report
View Lab Report - Project Report from SWE 102 at Mehran University of Engineering and Technology. Stock Inventory Management System Project Report Contents ...
IEEE projects topics for Academic year 2022 - 2023 in Python, Java, Machine Learning, Deep learning, Artificial Intelligence, Cloud and Networks and Security are available. Contact 9600095046
Bulk ieee projects | bulk ieee projects in pondicherryLeMeniz Infotech
Greeting From LeMeniz Infotech…
Do Your Projects With Technology Experts…
IEEE Master is a unit of LeMeniz Infotech. We are the leading software concern since past five years we do ieee projects and we guide final year student with latest technology update. Our aim is to initiate student to get updated in latest technology which is much more helpful to their carrier. Our team member has more than 5+ years of experience in IT field so that they can easily guide student to drive 100% Output result for their academic projects. We Provide guidance for M.E/M.Tech, B.E/B.Tech, MPhil, MCA, BCA, M.Sc, B.Sc, and Diploma. In Latest technology like java, dot net, android, hadoop, ns2, matlab, vlsi, embedded, power system, power electronics, mechanical, civil.
Web : http://www.lemenizinfotech.com/
Web : http://www.lemenizinfotech.com/tag/ieee-projects-in-pondicherry/
Web : http://ieeemaster.com/
Web : http://ieeemaster.com/bulk-ieee-projects/
Web : http://ieeeprojectspondicherry.weebly.com/
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
YouTube : https://www.youtube.com/watch?v=eesBNUnKvws
Mail : projects@lemenizinfotech.com
Mobile : 9566355386 / 9962588976
Greeting From LeMeniz Infotech…
Do Your Projects With Technology Experts…
IEEE Master is a unit of LeMeniz Infotech. We are the leading software concern since past five years we do ieee projects and we guide final year student with latest technology update. Our aim is to initiate student to get updated in latest technology which is much more helpful to their carrier. Our team member has more than 5+ years of experience in IT field so that they can easily guide student to drive 100% Output result for their academic projects. We Provide guidance for M.E/M.Tech, B.E/B.Tech, MPhil, MCA, BCA, M.Sc, B.Sc, and Diploma. In Latest technology like java, dot net, android, hadoop, ns2, matlab, vlsi, embedded, power system, power electronics, mechanical, civil.
Web : http://www.lemenizinfotech.com/
Web : http://www.lemenizinfotech.com/tag/ieee-projects-in-pondicherry/
Web : http://ieeemaster.com/
Web : http://ieeemaster.com/online-ieee-projects/
Web : http://ieeeprojectspondicherry.weebly.com/
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
YouTube : https://www.youtube.com/watch?v=eesBNUnKvws
Mail : projects@lemenizinfotech.com
Mobile : 9566355386 / 9962588976
Ieee projects-in-pondicherry | 2015 ieee projects in pondicherryLeMeniz Infotech
Greeting From LeMeniz Infotech…
Do Your Projects With Technology Experts…
IEEE Master is a unit of LeMeniz Infotech. We are the leading software concern since past five years we do ieee projects and we guide final year student with latest technology update. Our aim is to initiate student to get updated in latest technology which is much more helpful to their carrier. Our team member has more than 5+ years of experience in IT field so that they can easily guide student to drive 100% Output result for their academic projects. We Provide guidance for M.E/M.Tech, B.E/B.Tech, MPhil, MCA, BCA, M.Sc, B.Sc, and Diploma. In Latest technology like java, dot net, android, hadoop, ns2, matlab, vlsi, embedded, power system, power electronics, mechanical, civil.
Web : http://www.lemenizinfotech.com/
Web : http://www.lemenizinfotech.com/tag/ieee-projects-in-pondicherry/
Web : http://ieeemaster.com/
Web : http://ieeeprojectspondicherry.weebly.com/
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
YouTube : https://www.youtube.com/watch?v=eesBNUnKvws
Mail : projects@lemenizinfotech.com
Mobile : 9566355386 / 9962588976
Hi every one, This is Venkat Innovative Projects!!! youtube Channel, please Subscribe this Channel and get latest updates on Academic Projects For B.tech/BE, M.Tech/ME, MCA, M.Sc, Diploma Students and Assignments .
OUR SERVICES
( 1 ) We offer academic projects to BE - BTECH , ME - MTECH , MCA , DIPLOMA and PHD students
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Embedpark Projects : BE, MTech, DIPLOMA Projects for Final Year IEEE Projects
Dear IT Aspirants ,
Greetings from Embedpark , Bangalore!!!
Embedpark Innovations pvt ltd, Bangalore offers Total Developement solutions and Embedpark Innovations projects for freshers, working professionals and corporate in the below mentioned technologies:-
Final Year Projects Include:
1. Embedded Systems(Embedded / ARM / PIC/ MC/ MP)
2. Robotics
3. Linux Based Projects
4. Developement on FPGA / VLSI
5. Android
6. Mobile Applications
7. Website Developement
8. Database Design and Applicatios
9. MS ASP.Net, C# .Net, VB.Net, VC++ .net
10.JAVA / Advance - Java Projct
11.Big Data Hadoop
12.PHP
Embedpark Innovations pvt ltd, Bangalore has a dedicated total Developement & solutions in the Industry.
For further IEEE Projects details about Embedded System , VLSI, Android, Dot net, JAVA for IEEE 2013-14 Projects,
Feel free to contact the concerned person mentioned below:
Contact:Name: Kumar Amar
Address: Embedpark Innovations Pvt.Ltd, #20/233, Manandi Towers, 9th Main Road, Above ING Vysya Bank, 2nd floor , Jayanagar 3rd block Bangalore, India-560011
Contact: 9886733705 / 9886289694
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Modern design is crucial in today's digital environment, and this is especially true for SharePoint intranets. The design of these digital hubs is critical to user engagement and productivity enhancement. They are the cornerstone of internal collaboration and interaction within enterprises.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Globus Compute wth IRI Workflows - GlobusWorld 2024
IEEE Projects List.pdf
1. Ready Made Projects Available here Sameer: 9581211810
YOUR SEARCH FOR PROJECTS ENDS HERE
IEEE Final Year Projects
M.Tech, B.Tech, BE, MCA, BCA
Branches: CSE-IT-ECE-EEE
Ready Made Projects Available here Sameer: 9581211810
Machine Learning with Python - 2023
S.No PROJECT TITLE DOMAIN
1 Currency Recognition System Using Image Processing ML
2 Predicting Rainfall Using Machine Learning Techniques ML
3 Detecting And Characterizing Extremist Reviewer Groups In
Online Product Reviews
DL
4 Fish Disease Detection Using Image Based Machine Learning
Technique In Aquaculture
ML
5 Automatic Epilepsy Detection Using Machine Learning By Naive
Bayes Technique
ML
6 Online Inventory Management System ML
7 Farming Made Easy Using Machine Learning ML
8 Web-Based Music Genre Classification For Timeline Song
Visualization And Analysis
ML
9 Deep Learning Based Object Detection And Recognition
Framework For The Visually-Impaired
DL
10 Web Based Graphical Password Authentication System ML
11 Sign Language Recognition Using Cnn DL
12 A Study Of Blockchain Technology In Farmer's Portal BC
13 Audio To Sign Language Translator Using Python DL
14 Coding Assessment Portal ML
15 Automatic Detection Of Genetic Diseases In Pediatric Age Using
Pupillometry
ML
16 Plagiarism-Checker-Using-Nltk NLP
17 Prediction Of Engineering Branch Selection For Inter Students ML
18 Crop Yield Prediction Using Deep Reinforcement Learning Model
For Sustainable Agrarian Applications
DRL
19 Detecting The Movement Of Objects With Webcam DL
2. Ready Made Projects Available here Sameer: 9581211810
YOUR SEARCH FOR PROJECTS ENDS HERE
IEEE Final Year Projects
M.Tech, B.Tech, BE, MCA, BCA
Branches: CSE-IT-ECE-EEE
Ready Made Projects Available here Sameer: 9581211810
20 Food Tech Block Chain Using Python BC
21 Object Classification Using Cnn-Based Fusion Of Vision And Lidar
In Autonomous Vehicle Environment
DL
22 Efficient Secure Data Retrieval On Cloud Using Multi-Stage
Authentication And Optimized Blowfish Algorithm
ML
23 Detection Of Stroke Disease Using Machine
Learning Algorithms
ML
24 Employing Blockchain In Agriculture BC
25 Indian Sign Language Recognition Using Cnn DL
26 Early Pest Detection From Crop Using Image Processing And
Computational Intelligence
DL
27 Crop Yield Precidtion Using Machine Learning ML
28 Paddy Diseases Recongzation Using Convolutional Neural
Networks
DL
29 Predicting The Rice Leaf Diseases Using Cnn DL
30 Recovery Of Image Using One Dimension Signal Vector DL
31 Noise Reduction In Web Data: A Learning Approachbased On
Dynamic User Interests
ML
32 Crowd Counting Method Based On Cnn DL
33 Dcentralised Web Hosting Using Block Chain BC
34 Personalized Travel Planning System ML
35 A Forest Fire Identification Method For Unmanned Aerial Vehicle
Monitoring Video Images
DL
36 An Efficient Fruit Identification And Ripening Detection
Using Cnn Algorithm
DL
37 On The Implementation Of A Secured Watermarking Mechanism
Based On
DL
38 Enhanced New Clustering Ant Colony Optimization Based Routing
Protocol Aodv-R NETWORKING
39 An Evolutionary Intuitionistic Fuzzy K-Means Clustering Approach
Based Cluster Head Selection In Manet NETWORKING
3. Ready Made Projects Available here Sameer: 9581211810
YOUR SEARCH FOR PROJECTS ENDS HERE
IEEE Final Year Projects
M.Tech, B.Tech, BE, MCA, BCA
Branches: CSE-IT-ECE-EEE
Ready Made Projects Available here Sameer: 9581211810
40 Tool For Easy Management Of Files And Directories ML
4. Ready Made Projects Available here Sameer: 9581211810
YOUR SEARCH FOR PROJECTS ENDS HERE
IEEE Final Year Projects
M.Tech, B.Tech, BE, MCA, BCA
Branches: CSE-IT-ECE-EEE
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41 Realized Volatility Prediction In Stock Market ML
42 Comparative Study Of Machine Learning Algorithms For Fraud
Detection In Blockchain
BC
43 Hospital Management System With Chatbot AI
44 Iris Recognition Using Daugman Algorithm & Ann ANN
45 Suicidal Tendency Detection ML
46 Meta-Heuristic Optimization Algorithms Based Feature Selection
For Clinical Breast Cancer Diagnosis
ML
47 Energy Efficient Teaching-Learning-Based Optimization For The
Discrete Routing Problem In Wireless Sensor Networks
NETWORKING
48 Image Forgery Detection Based On Fusion Of Lightweight Deep
Learning Models
DL
49 Human Action Recognition From Depth Maps And Postures Using
Deep Learning
DL
50 Video Analysis For Weapon Detection And Alerting DL
51 Automatic Detection Of Diabetic Retinopathy Using Cnn DL
52 Optimised Stacked Ensemble Techniques In The Prediction Of
Cervical Cancer Using Smote And Rferf
ML
53 Application And Evaluation Of A K-Medoidsbased Shape
Clustering Method For An Articulated Design Space
NETWORKING
54 Local Dynamic Neighborhood Based Outlier Detection Approach
And Its Framework For Large-Scale Datasets
ML
55 Watermarking Images DL
56 A Forest Fire Identification Method For Unmanned Aerial Vehicle
Monitoring Video Images
DL
57 Image Forgery Detection Based On Fusion Of Lightweight Deep
Learning Models
DL
58 Geo Tracking Of Waste And Triggering Alerts And Mapping Areas
With High Waste Index
DL
59 Implementation Of Blockchain In Financial Sector To Improve
Scalability
BLOCKCHAIN
60 Attendance Capture System Using Face Recognition DL
61 Traffic Rules Violation Detection System DL
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62 Blockchain Based Milk Delivery Platform For Stallholder Dairy
Farmers In Kenya Enforcing Transparency And Fair Payment
BLOCKCHAIN
63 Blockchain Based Ecommerce Online Application BLOCKCHAIN
64 An Intelligent Data-Driven Model To Secure Intravehicle
Communications Based On Machine Learning
ML
65 Retina Blood Vessel Segmentation With A Convolution Neural
Network (U-Net)
DL
66 Phishing Email Detection Using Cnn DL
67 Blockchain For Financial Application BLOCKCHAIN
68 Intelligent Agent Based Job Search System DJANGO
69 Comparative Study Of Machine Learning Algorithms For Fraud
Detection In Blockchain
BLOCKCHAIN
70 Predicting Stock Market Trends Using Machine Learning And
Deep Learning Algorithms Via Continuous And Binary Data A
Comparative Analysis
ML
71 Deep Learning For Smartphone-Based Malaria Parasite Detection
In Thick Blood Smears
DL
72 A Novel Method For Computationally Efficacious Linear And
Polynomial Regression Analytics Of Big Data In Medicine
ML
73 On The Implementation Of A Secured Watermarking Mechanism
Based On Cryptography And Bit Pairs Matching
DL
74 Email Spam Detection Using Machine Learning Algorithms ML
75 Efficientdet: Scalable And Efficient Object Detection DL
76 Deep Cross-Modal Face Naming For People News Retrieval DL
77 Plant Disease Identification And Pesticides Recommdation Using
Cnn
DL
78 Traffic Sign Detection And Recognition DL
79 Web-Based Music Genre Classification Fortimeline Song
Visualization And Analysis
DL
80 Virtual Mouse Operation Using Webcam DL
81 Stock Price Prediction Using Twitter Dataset ML
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82 Emotion Detection Using Twitter Datasets And Spacy Algorithm ML
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83 Virtual Mouse Operation Using Webcam DL
84 Stock Price Prediction Using Twitter Dataset ML
85 Emotion Detection Using Twitter Datasets And Spacy Algorithm ML
86 Designing Secure And Efficient Biometric-Based Secure
Access Mechanism For Cloud Services
ML
87 Bsspd: A Blockchain-Based Security Sharing Scheme For
Personaldata With Fine-Grained Access Control
BLOCK CHAIN
88 An Enhanced Multi-Modal Biometric Authentication DL
89 Cost Aggregation Is All You Need For Few-Shot Segmentation DL
90 Water Quality Monitoring & Forecasting System ML
91 A Data Mining Based Model For Detection Of Fraudulent
Behaviour In Water Consumption
ML
92 A Bi-Objective Hyper-Heuristic Support Vector Machines For Big
Data Cyber-Security
ML
93 Bag-Of-Discriminative-Words (Bodw) Representation Via Topic
Modelling
ML
94 Block Chain Technology BC
95 Breast Cancer Detection DL
96 Characterizing And Predicting Early Reviewers For Effective
Product Marketing On Ecommerce Websites
ML
97 Correlated Matrix Factorization For Recommendation With
Implicit Feedback
ML
98 A Credit Card Fraud Analysis Using Predictive Modeling ML
99 Customer Loan Prediction Analysis ML
100 Data Driven Design Of Fog Computing Aided Process Monitoring
System For Large-Scale Industrial Processes
ML
101 Deep Learning Applications In Medical Image Analysis-Brain
Tumor
DL
102 Designing Cyber Insurance Policies The Role Of Pre-Screening And
Security Interdependence
ML
103 Efficient Vertical Mining Of High Average-Utility Itemsets Based
On Novel Upper-Bounds
ML
104 Exploratory Visual Sequence Mining Based On Pattern Growth ML
105 Generating Wikipedia By Summarizing Long Sequences ML
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106 Heart Disease Prediction ML
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107 How Data-Driven Entrepreneur Analyzes Imperfect Information
For Besiness Opportunity Evaluation
ML
108 Image Based Appraisal Of Real Estate Properties DL
109 Modeling And Predicting Cyber Hacking Breaches ML
110 Multi-Trafficscence Perception Based On Supervised Learning DL
111 Personalized Affective Feedback To Address Students Frustration
In Intelligent Tutoring System
ML
112 Predicting The Reviews Of The Restaurant Using Natural Language
Processing Technique
ML
113 Prediction Of Crude Oil Prices Using Svr With Grid Search Cross
Validation Algorithm
ML
114 Price Based Resource Allocation For Edge Computing A Market
Equilibrium Approach
ML
115 Recolored Image Detection DL
116 Rich Short Text Conversation Using Semantic Key Controlled
Sequence Generation
ML
117 Robust Malware Detection For Iot Devices Using Deep Eigenspace
Learning
ML
118 Semi-Supervised Machine Learning Approach For Ddos Detection ML
119 A Toward Better Statistical Validation Of Machine Learning-Based
Multimedia Quality Estimators
ML
120 User Centric Machine Learning Frameork For Cyber Security
Operations Center
ML
121 Weakly-Supervised Deep Embedding For Product Review
Sentiment Analysis
ML
122 Big Mart Sales Using Machine Learning With Data Analysis ML
123 Fbi Crime Data Using Machine Learning With Data Analysis ML
124 Human Activity Recognization Using Machine Learning With Data
Analysis
ML
125 Data Analytics With The Iris Data Set Finding The Correlations
Between The Products
ML
126 Loan Prediction Dataset Using Machine Learning With Data
Analysis
ML
127 Seer Cancer Incidence Using Machine Learning With Data Analysis ML
128 5g-Smart Diabetes Toward Personalized Diabetes Diagnosis With
Healthcare Big Data Clouds
ML
129 A Deep Learning Facial Expression Recognition Based Scoring
System For Restaurants
DL
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130 A Machine Learning Model For Average Fuelconsumption In ML
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Heavy Vehicles
131 A Survey On Optical Character Recognition System DL
132 Bird Species Identification Using Deep Learning DL
133 Cartoon Of An Image DL
134 Chatbot AI
135 Credit Card Fraud Detection Using Random Forest & Cart
Algorithm
ML
136 Credit Card Fraud Detection Using Random Forest Tree Based
Classifier
ML
137 Online Depression Detection Application ML
138 Driver Drowsiness Monitoring System Using Visual Behaviour And
Machine Learning
DL
139 Drug-Disease-Prediction-Using-Machine-Learning ML
140 E-Assessment Using Image Processing In ∞Exams DL
141 Automating E-Government Using Ai AI
142 Deepclue: Visual Interpretation Of Text-Based Deep Stock
Prediction
DL
143 Density Based Smart Traffic Control System Usingcanny Edge
Detection Algorithm For Congregatingtraffic Information
DL
144 Emotion Based Music Recommendation System Using Wearable
Physiological Sensors
DL
145 Exploring Trajectory Prediction Through Machinelearning
Methods
ML
146 Eye Ball Cursor Movement Using Opencv DL
147 Classifying Fake News Articles Using Natural Language Processing
To Identify In-Article Attribution As A Supervised Learning
Estimator
NLP
148 Feature Extraction For Classifying Students Based On
Theiracademic Performance
ML
149 Filtering Instagram Hashtags Through Crowdtagging And The Hits
Algorithm
DL
150 Heart Disease Prediction Using Bio Inspired Algorithms ML
151 Human Activity Detection DL
152 Network Intrusion Detection Using Supervised Machine Learning
Technique With Feature Selection
ML
153 Objectdetection DL
154 Robust Intelligent Malware Detection Using Deep Learning ML
155 Securing Data With Blockchain And Ai AI BC
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156 Sentiment Analysis Using Telugu Sentiwordnet NLP
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157 Stock Market Trend Using Knn ML
158 Suspicious Activity Detection DL
159 Twiter Sentimantal Analysis NLP
160 Use Of Artificial Neural Networks To Identify Fakeprofiles AI
161 Vehicle Detection And Speed Detection DL
162 Video-Based Abnormal Driving Behaviourdetection Via Deep
Learning Fusions
DL
163 Crime Rate Prediction Using K-Means ML
164 Digitised And Decentralized Blockchain Technology BC
165 Convolutional Neural Network Based Text Steganalysis DL
166 Crop Yield Prediction And Efficient Use Of Fertilizers ML
167 Eclat Algorithm ML
168 Fake Images Detection DL
169 A Knowledge-Based Recommendation System That Includes
Sentiment Analysis And Deep Learning
ML
170 Link Prediction In Evolving Networks Base On Information
Propagation
ML
171 A Strategy For Near-Deduplication Web Documents Considering
Both Domain &Size Of The Document
ML
172 Opinion Mining For Social Networking Site ML
173 Collaborative Filter Based Group Recommendation Crowdfunding ML
174 An Overview Of Deep Learning In Medical Imaging Focusing On
Mri
DL
175 Opinion Mining For Feedback Management System ML
176 Using Deep Learning To Predict Plant Growth And Yield In
Greenhouse Environments
DL
177 Image Classification Using Cnn (Convolution Neural Networks)
Algorithm
DL
178 Cyber Threat Detection Based On Artificial Neural Networks Using
Event Profiles
AI
179 Opinion Mining For Social Networking Site ML
180 Analysis Of Women Safety In Indian Cities Using Machine Learning
On Tweets
ML
181 Bat Deep Learning Methods On Network Intrusion Detection
Using Nsl-Kdd Dataset
ML
182 Construction Site Accident Analysis Using Text Mining And Natural
Language Processing Techniques
ML
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183 Quantifying Covid-19 Content In The Online Health Opinion War
Using Machine Learning
ML
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184 Performance Comparison Of Svm ,Random Forest,And Extreme
Learning Machine For Intrusion Detection
ML
185 Sifttags From From Real Twitter,Youtube And Instagram ML
186 Credit Card Fraud Detection Using Adaboost And Majority Voting ML
187 Rainfall Prediction Using Wavelet Neural Network Analysis ML
188 Cervical Cancer Detection Using Machine Leraning ML
189 Cost-Sensitive Payment Card Fraud Detection Based On Dynamic
Random Forest And K-Nearest Neighbors
DL
190 Cost Based Efficiently Allocating Resources For Edge Computing
Web Application
ML
191 Detection Of Possible Illicit Messages Using Natural Language
Processing And Computer Vision On Twitter And Linked Websites
DL
192 Accident Detection System DL
193 File Carving & Local Drive Operations ML
194 Supermarket Billing System Using Webcam DL
195 Neural Collaborative Filtering Based Group Recommendations DL
196 A Data Mining Based Model For Detection Of Fraudulent
Behaviour In Water Consumption(Standalone)
ML
197 Prediction Of Time-To-Event Outcomes In Diagnosing Lung Cancer
Based On Svm And Compare The Accuracy Of Predicted Outcome
With Deep Cnn Algorithm
ML
198 Detection Of Lung Cancer From Ct Image Using Svm Classification
And Compare The Survival Rate Of Patients Using 3d
Convolutional Neural Network(3d Cnn)On Lung Nodules Data Set
DL
199 A Hybrid Model For Classification Of Lung Nodules Across
Sequential And Time Variant Data To Assist Doctors To Treat The
Disease Over Svm Algorithm And Compare The Error Rate With K-
Nearest Neighbors
DL
200 Classification Of Lung Cancer Nodules To Monitor Patients Health
Using Neural Network Topology With Svm Algorithm And
Compare With Accuracy With K- Means Algorithm
DL
201 Real Time Human Emotion Recognition Based On Facial
Expression Detection Using Softmax Classifier And Predict The
Error Level Using Opencv Library
DL
202 Facial Expression Recognition And Their Temporal Segments From
Face Profile Image Sequences Using Yolo Object Detection
Algorithm
DL
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203 Design Of Facial Expression Recognition System Using Deep
Learning Model Based On Human Emotions Through Classification
DL
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With Cnn Algorithm And Compare The Probability With Rnn
Algorithm
204 Automatic Facial Expression Recognition Using Features
Extraction Based On Spatial & Temporal Sequences Using Cnn &
Rnn Algorithm
DL
205 Vehicle Pattern Recognition Using Machine And Deep Learning To
Predict Car Model
DL
206 Machine Learning Based Approaches For Detecting Covid-19
Using Clinical Text Data
ML
207 Performance Improvement Of Smart Survelliance Camera Using
Modified Cnn Technique
DL
208 Data Poison Detection Schemes For Distributed Machine Learning ML
209 Research On Recognition Of Crop Disease And Insect Pests Based
On Deep Learning In Harsh Environmnet
DL
210 Detecting At-Risk Students With Early Interventions Using
Machine Learning Techniques
ML
211 Integrated Land Management Information System BC
212 Deep Texture Features For Robust Face Spoofing Detection ML
213 Algorithm For Credit Card Fraud Detection Using Machine
Learning Techniques
ML
214 Blockchain For Secure Ehrs Sharing Of Mobile Cloud Based E-
Health Systems
BC
215 Enhancing Image Classification Using Svm & Compare With Neural
Network For Feature Extraction Of Agricultural Land
DL
216 Image Classification Using Svm & Compare With Naive Bayes For
Feature Extraction Of Agricultural Land
DL
217 Agricultural Land Image Classification Using Knn And Compare
With Recurrent Neural Network For Feature Extraction
DL
218 Agricultural Land Image Classification Using Regression Neural
Network And Compare With Knn For Feature Extraction
DL
219 Missing Child Identification System Using Deep Learning And
Multiclass Svm
ML
220 Optimize The Storage Volume Using Data Mining Techniques ML
221 Image Based Question And Answering System DL
222 Context Based Image Processing Using Machine Learning
Approaches
ML
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223 Sentiment Analysis Using Machine Learning(Kmeans & Svm,Knn & ML
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Kmeans,Naive Bayes & Cnn)
224 Music Recommendation System DL
225 Personal Voice Assistant DL
226 Behavior Analysis For Mentally Affected People DL
227 Detecting At-Risk Students With Early Interventions Using
Machine Learning Techniques
ML
228 Hand Gesture Recognition Using Convolution Neural Networks DL
229 Smart Contract Based Access Control For Health Care Data ML
230 Sliding Window Blockchain Architecture For Internet Of Things BC
231 Iris recognition DL
232 Sign Language Recognition To Text And Voice Using Cnn DL
233 Blockchain E-Voting Done Right Privacy And Transparency With
Public Blockchain
BC
234 Weapon Detection Using Artificial Intelligence And Deep Learning
For Security Applications
DL
235 Machine Learning Techniques For Cyber Attacks Detection ML
236 Malware Detection Using Machine Learning & Performance
Evaluation
ML
237 Android Malware Detection Using Machine Learning Techniques ML
238 Detection Of Cyber Attack In Network Using Machine Learning
Techniques
ML
239 Phishing-Webiste-Detection-Using-Ml ML
240 Alzeimers Prediction From Mri Images DL
241 Pregbot :A System Based On Ml And Nlp For Supporting Women
And Families During Pregnancy
AI
242 Locality-Constrained Linear Coding For Image Classification DL
243 Mamabot A System Based On Ml And Nlp For Supporting Women
And Families During Pregnancy
AI
244 Locality-Constrained Linear Coding For Image Classification ML
245 Spammer Detection And Fake User Identification On Social
Network
ML
246 Detection Of Fake News Through Implementation Of Data Science
Application
DS
247 Critical Evaluation Of The Effectiveness Of De-Hazing Images
Using Deep Learning
DL
248 Optimization of the Hybrid Movie Recommendation System
Based on Weighted Classification and User Collaborative Filtering
Algorithm
ML
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249 Optimizing Liver disease prediction with Random Forest by ML
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various Data balancing Techniques
250 Airfare Prices Prediction Using Machine Learning Techniques ML
251 A Data Analytics Approach to the Cybercrime Underground
Economy
ML
252 Identifying Bone Tumor using X-Ray Images DL
253 A Two-Stage Model to Predict Surgical Patient's Lengths of Stay
From an Electronic Patient Database
ML
254 E-Library with URLS tutorial, PDF Books & Videos ML
255 Mitigating DDOS Attack In IOT Network Environment ML
256 Movie Success Prediction Using Naïve Bayes, Logistic Regression
and Support Vector Machine
ML
257 Drug Recommendation System based on Sentiment Analysis of
Drug Reviews using Machine Learning
ML
258 A Model for prediction of consumer conduct using machine
learning algorithm
ML
259 Evaluation of Machine Learning Algorithms for the Detection of
Fake Bank Currency
ML
260 A Hybrid Posture Detection Framework: Integrating Machine
Learning and Deep Neural Networks
ML
261 Extraction of Main Urban Roads from High Resolution Satellite
Images by Machine Learning
ML
262 Fighting & Gunpoint Detection DL
263 Human Behavior Analysis Using Intelligent Big Data Analytics DL
264 Securing Smart Sensing Production System using ML & DL
Algorithms
DS
265 Credit Card Fraud Detection Using Fuzzy Logic and Neural
Network
ML
266 Price Negotiating Chatbot on E-commerce website ML
267 Smart Control of Traffic Light Using Artificial Intelligence AI
268 Stock Price Prediction using Twitter Dataset ML
269 Agriculture Helper Chatbot AI
270 Alzheimer Disease Prediction using Machine Learning Algorithms ML
271 Machine Learning and End-to-end Deep Learning for the
Detection of Chronic Heart Failure from Heart Sounds
ML
272 Detecting Multi-stage Attacks using Sequence-to-Sequence Model ML
273 Deep Learning of Facial Depth Maps for Obstructive Sleep Apnea
Prediction
DL
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274 Discovery and Prediction of Stock Index Pattern via Three-Stage
Architecture of TICC, TPA-LSTM and Multivariate LSTM-FCNs
DL
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275 Stock Market Analysis using Supervised Machine Learning ML
276 Toward Detection and Attribution of Cyber-Attacks in IoT-enabled
Cyber-physical Systems
ML
277 Electronics Component Identification from Voice DL
278 Facial Expression from Webcam DL
279 Content Based Image Retrieval using Deep Learning DL
280 A Recurrent CNN for Automatic Detection and Classification of
Coronary Artery Plaque and Stenosis in Coronary CT Angiography
DL
281 Monkeypox Detection using Modified VGG16 & Custom CNN
Model
DL
282 Project Recommendation for Open Source Communities ML
283 Detection of Supra Ventricular Arrhythmia using LSTM, BI-LSTM &
GRU
DL
284 Automated Detection of Cardiac Arrhythmia using Recurrent
Neural Network
DL
285 Secure crypto-biometric system for cloud computing ML
286 QR Code Based Attendance System DL
287 Social Media and Misleading Information in a Democracy A
Mechanism Design Approach
ML
288 Smart Health Consulting Online System BLOCK CHAIN
289 Crime Rate Prediction & Analysis using K-Means Clustering
Algorithm
ML
290 Feature Extraction and Analysis of Natural Language Processing
for Deep Learning English Language
ML