The uncertainty and dynamic of home environment present great challenges to the task
planning of service robots. The nature of the home environment is highly unstructured, with a …

Location indices are key in explaining variation in house prices. However, the definition of
comprehensive indices capturing all locational features, along with their efficient and timely …

Wearable body sensors have recently gained popularity because they monitor user
behaviors and vital indicators. These sensors are designed to monitor various physiological …

Extracting representative features to recognize human activities through the use of
wearables is an area of on-going research. While hand-crafted features and machine …

With the rise of artificial intelligence, sensor-based human activity recognition (S-HAR) is
increasingly being employed in healthcare monitoring for the elderly, fitness tracking, and …

Network reconfiguration through the selection of open switch positions on the electric
distribution network (EDN) is an effective solution to reduce power loss on the EDN …

Improved wolf swarm optimization with deep-learning-based movement analysis and self-regulated
human activity recognition Page 1 AIMS Mathematics, 8(5): 12520–12539. DOI: 10.3934/math.2023629 …

With the increasing popularity of wearable sensors, deep-learning-based human activity
recognition (HAR) has attracted great interest from both academic and industrial fields in …

Abstract Human Activity Recognition (HAR) is an essential area of pervasive computing
deployed in numerous fields. In order to seamlessly capture human activities, various inertial …

In today's era, one of the important applications of Artificial Intelligence (AI) is Human Activity
Recognition (HAR). It has a wide range of applicability in health monitoring for patients with …