IEEE

A Novel Distributed Solution for Automatic Modulation Classification Based on Federated Learning and Modified LSTM

Abstract: Automatic modulation classification (AMC) is an indispensable technique in developing radio monitoring. It can automatically determine the modulation mode according to the collected radio ...
GitHub

AhmedEl-diasty/Human-Activity-Recognition-CNN-LSTM

This project implements a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for human activity recognition using sensor data from ...
GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
Techno-Science.net

9 Best Open-Source Apps from GitHub You Can Actually Use Every Day

GitHub hosts powerful open source apps you can use daily, from Immich for photo backups and Upscayl for image upscaling to VERT for file conversion, BC Uninstaller for cleanup, Mole for Mac storage, ...
IEEE

A Hybrid Brain Tumor Classification Using FL With FedAvg and FedProx for Privacy and Robustness Across Heterogeneous Data Sources

Abstract: Data privacy and heterogeneity among healthcare settings present fundamental challenges to machine learning (ML) brain tumor classification (BTC) model development based on local data. In ...