Machine learning helps detect roars from lion collars without recording actual audio

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...
Devdiscourse

High-accuracy AI models improve IoT threat detection

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...
TMCnet

Bramridge Trust Unveiled: Should You Join Bramridge Trust? Features, Performance, Fees & Real User Insights!

Introduction – What Is Bramridge Trust? Bramridge Trust is presented as a modern digital trading and investment ...
Que.com on MSN

AI in cybersecurity: Key benefits, risks and solutions

In today’s digital landscape, cyber threats are evolving at an unprecedented pace. Traditional security measures struggle to ...
Que.com on MSN

First autonomous robot brigade scores historic combat victory

Revolutionizing Warfare with Autonomous Robot Brigades In a landmark moment for modern military history, the world witnessed the first fully ...
Tech Times

How AI-Powered Smart Home Security Cameras Detect and Prevent Intrusions in Real Time

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...
IEEE

Evaluating Adversarial Resilience of Deep Reinforcement Learning Algorithms for Network Intrusion Detection

Abstract: Recent advancements in the field of cybersecurity has allowed for greater defensive technologies. The application of machine learning and artificial intelligence in cybersecurity has allowed ...
GitHub

Intrusion Detection System (IDS) with Machine Learning

This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to ...
Scientific Research Publishing

Attack Detection and Alarming System on IOT Facilities Using Random Forest Enabled-Correlation Based Clustering (RF-CBC) Technique ()

1 Department of Mathematical and Computer Sciences, Faculty of Science, University of Medical Sciences, Ondo, Nigeria. 2 Department of Computer Science, University of New Haven, West Haven, USA. 3 ...
IEEE

Unsupervised Real-Time In-Kernel Intrusion Detection System Using Autoencoders and eBPF

Abstract: Traditional intrusion detection systems (IDSs), leveraging machine learning (ML) algorithms, have improved the detection accuracy of unknown attacks by continuously updating ML models but ...