Researchers Use Machine Learning to Accurately Model Street Lighting Systems

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...
IEEE

Blockchain-Enabled Computing Offloading and Resource Allocation in Multi-UAVs MEC Network: A Stackelberg Game Learning Approach

Abstract: Unmanned Aerial Vehicle (UAV) is a promising technology that can serve as aerial base stations to assist the Internet of Things (IoT) network and solve various problems, such as expanding ...

Career education options in AI after class 12: Here are 1-year, 3-year, 4-year and 5-year options

After Class 12, students interested in Artificial Intelligence can choose from several education paths — short 1-year ...
Analytics Insight

Best Machine Learning Projects on Kaggle for 2025

Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
IEEE

Integrating Graph Neural Networks with Multi-Agent Deep Reinforcement Learning for Dynamic V2X Communication

Abstract: In the rapidly evolving field of Internet of Vehicles technology, Cellular Vehicle-to-Everything (C-V2X) communication has garnered considerable attention due to its superior performance in ...