Abstract: Human activity detection plays a vital role in applications such as healthcare monitoring, smart environments, and security surveillance. However, traditional methods often rely on ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...
Five minutes of training can significantly improve people's ability to identify fake faces created by artificial intelligence ...
Pediatric Speech Sound Disorders (SSDs) are conventionally diagnosed using auditory-perceptual assessments, heavily relying on International Phonetic Alphabet (IPA) transcriptions. This approach, ...
The Human Washing Machine at an expo in Osaka. Credit: Nikkei. The future of bathing is here, and it looks like a high-tech escape pod from a sci-fi movie. Science Inc., a tech company based in Osaka, ...
Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
Abstract: A device-free methodology is proposed to recognize the human activity in indoor environments using WiFi received signal strength indication (RSSI), and several machine learning (ML) ...
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