Deep Learning with Yacine on MSNOpinion

What are 1x1 convolutions in deep learning – explained simply

Understand how 1x1 convolutions work and why they’re essential in modern neural network architectures like ResNet and ...
IEEE

Research on classification algorithm based on deep learning vision inspection technology

Abstract: Visual Convolutional Multi-head Attention (VCMA), a groundbreaking architecture within the realm of deep learning, ingeniously fuses the strengths of Convolutional Neural Networks (CNN) and ...
Analytics Insight

AI-Powered Pest and Disease Detection in Farming

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...
Division of Agriculture and Natural Resources

Deep Learning with Drone Imagery in ArcGIS Pro

February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high resolution drone imagery using ArcGIS Pro.
IEEE

Deep Learning in Shallow Water: CNN-based 3D-FLS Target Recognition

Abstract: Automatic target detection is important for real time navigation applications of 3D forward looking sonar (3D-FLS) systems. A 3D-FLS sensor generates a large volumetric point cloud of data ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
IEEE

A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles

Abstract: A novel artificial intelligence-based approach for the direct yaw control (DYC) of an all-wheel drive (AWD) electric vehicle (EV) is proposed in this paper. To improve adaptability and ...