IEEE

An Efficient Implementation of Small-Precision Floating-point Matrix Multiplication for AI ...

Abstract: The Multiply and Accumulator (MAC) in Convolution Neural Network (CNN) for image applications demands an efficient matrix multiplier. This study presents an ...
IEEE

Privacy Preserving Distributed Image Processing Using Federated Learning and CNNs

Abstract: The combination of Federated Learning (FL) and Convolutional Neural Networks (CNNs) has surfaced as a groundbreaking method for distributed image processing, tackling significant issues in ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
GitHub

[TIP2024] MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers

This is a PyTorch implementation of the paper MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers published in IEEE TIP 2024. Arxiv link. Notice: This repo is still working ...