GitHub

Rotation-Invariant Coordinate Convolutional Neural Network

In this paper, we propose a Rotation-Invariant Coordinate Convolution (RIC-C), which achieves natural invariance to arbitrary rotations around the input center without additional trainable parameters ...
GitHub

ImageNet Classification with Deep Convolutional Neural Networks in Python.md

Deep Convolutional Neural Networks (CNNs) have revolutionized this field, achieving remarkable accuracy. In this presentation, we'll explore how to implement ImageNet classification using Python and ...
Hosted on MSN

ARIQO makes its Bangkok debut at SEABW, drawing industry attention

May 25, 2026 — Canton Foundation, Toss, BitGo Among Co-Hosts at Private Event; Token Launch Slated for Second Half of 2026. On May 21, ARIQO, an on-chain financial platform, made its first public ...
IEEE

Haitao Zhao

Unmanned Aerial Vehicles,Internet Of Things,Federated Learning,Base Station,Optimization Problem,Additive Noise,Path Loss,Global Model,Convolutional Neural Network,Deep Reinforcement ...
archive

An Optimized Convolutional Neural Network Based Ensemble Classification and Regression Framework for Classifying the Stages of Diabetic Retinopathy

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive ...
Frontiers

3D convolution attention-based multi-scale fusion network for hyperspectral image classification

The proposed 3D Convolution Attention-based Multi-scale Fusion Network (3D-CAMFN) organically integrates the above modules to achieve a unified high accuracy and efficiency, providing a practical ...
World Scientific

A NOVEL INTEGRATION OF MULTI-SCALE AND TEMPORAL CONVOLUTION ALGORITHM FOR ENHANCING STROKE REHABILITATION THROUGH AN INNOVATIVE COMBINATION OF ...

School of Information Engineering, Shanghai Maritime University, Shanghai 201306, P. R. China ...