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 ...
EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

AJ2 to Demonstrate Proprietary Algorithm–Hardware Integrated Iris Recognition Platform at CES 2026

SEOCHO-GU, SEOUL, SOUTH KOREA, January 1, 2026 /EINPresswire.com/ — AJ2 (CEO Gil Soo Jung) announced that it will demonstrate its proprietary algorithm–hardware integrated iris recognition platform at ...
IEEE

Drone Detection and Drone Type Classification Using Deep Learning Technique

Abstract: The demand and usage of drones are increasing day by day, and with this increased popularity, new types of drones are coming into the market for various purposes. However, due to the ...
IEEE

A photoplethysmogram-based 1D-CNN algorithm for automated atrial fibrillation detection

Abstract: Atrial fibrillation (AF) is an irregular heartbeat that originates in the upper chambers of the heart (atria). This paper presents a method for the detection of AF events from ...
CNN

VA’s deep cuts, oldest park ranger, non-traditional holiday movies: Catch up on the day’s stories

👋 Welcome to 5 Things PM! Everyone watches “Miracle on 34th Street” and “Elf” over the holidays, but festive vibes come in unexpected forms. So what’s the ultimate non-traditional holiday movie? Fill ...
IEEE

Real-Time Gesture Recognition Algorithm Using CNN and LSTM for Secure Human-Computer Interaction

Abstract: The need for real-time, user-friendly communication interfaces has driven gesture recognition system development. This need spurred system growth. This need has pushed Human-Computer ...
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

Research and Application of Personalized Recommendation Algorithm Based on Deep Learning Network

Abstract: In today's digital age, information technology has made great progress, which has promoted the explosive growth of global data volume, and the problem of information overload has become ...