HILLHURST, Tenn. (WSMV/CNN/CNN Newsource/WKRC) - A woman discovered human remains behind a McDonald's on Friday. According to WSMV, a death investigation was launched after a decomposing body was ...

Conventional microelectronics are scaled to the fibre level for information processing and storage in flexible, stretchable textiles. Compared to single-fibre systems, multi-fibre computational ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

NEW YORK--(BUSINESS WIRE)--Synchron, a category-defining brain-computer interface (BCI) company, today released the first-ever public demonstration of an individual using an iPad controlled entirely ...

State Key Laboratory of Chemical Safety, College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China ...

Contactless Human Activity Recognition (HAR) has played a critical role in smart healthcare and elderly care homes to monitor patient behavior, detect falls or abnormal activities in real time. The ...

Abstract: Human Activity Recognition (HAR) contributes significantly to vital areas in healthcare, IoT, and smart monitoring applications. Generally, the current models rely on deep learning and ...

This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...

Abstract: This study introduces a novel representation learning method to enhance unsupervised deep clustering in Human Activity Recognition (HAR). Traditional unsupervised deep clustering methods ...

Automated traffic now accounts for the majority of activity on the web, with the share of bad bot traffic surging from 32% to 37% annually last year, according to Thales. The French defense giant’s ...