IEEE

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

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 ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Leadership

Nigerian Researcher Develops Deep Learning Model To Transform Brain Cancer Diagnosis

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
C&EN

TCNeKP: A Novel Deep Learning Architecture for Enzyme Catalytic Activity Prediction

Key Laboratory of Biorheological Science and Technology (Ministry of Education), College of Bioengineering, Chongqing University, Chongqing 400044, China College of Bioengineering, Chongqing ...
Analytics India Magazine

10 Best AI Courses in 2025: Programs That Bridge Theory and Real-World Application

This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...
来自MSN

Understanding Forward Propagation in Neural Networks with Python – Step by Step

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...
IEEE

Neural Networks and Deep Learning: Innovations and Applications in Soft Computing

Abstract: The Paper explores different aspects of deep learning techniques and neural networks in the fields of healthcare, time-series forecasting, agriculture, and other relevant sectors through ...