Nature

Network-based intrusion detection using deep learning technique

A high growth rate in network traffic and the complexity of cyber threats have made it necessary to create more effective and flexible intrusion detection systems. Most traditional Network-based ...
Frontiers

Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Plant Breeding

Artificial Intelligence (AI) is an extensive concept that can be interpreted as a concentration on designing computer programs to train machines to accomplish functions like or better than hu-mans. An ...
GitHub

Defect detection using computer vision at the edge with Amazon SageMaker

This repository is related to our blog post Detect industrial defects at low latency with computer vision at the edge with Amazon SageMaker Edge in the AWS Machine Learning blog. In this workshop, we ...
IEEE

Wireless Distributed Learning: A New Hybrid Split and Federated Learning Approach

Abstract: Cellular-connected unmanned aerial vehicle (UAV) with flexible deployment is foreseen to be a major part of the sixth generation (6G) networks. The UAVs connected to the base station (BS), ...
Nature

Forest fire detection system using wireless sensor networks and machine learning

Forest fires are disasters that cause extensive damage to the entire world in economic, ecological, and environmental ways. These fires can be caused by natural reasons, such as high temperatures that ...
IEEE

Research on Semi-Supervised Sound Event Detection Based on Mean Teacher Models Using ML-LoBCoD-NET

Abstract: One of the most commonly method for sound event detection is the traditional convolutional neural network (CNN) or convolutional recurrent neural network (CRNN) and their variants. However, ...