Vision-based human activity recognition (HAR) has emerged as one of the essential
research areas in video analytics. Over the last decade, numerous advanced deep learning …

With the thriving development of sensor technology and pervasive computing, sensor-based
human activity recognition (HAR) has become more and more widely used in healthcare …

Taiwan has a rapidly increasing aging population with a considerably high life expectancy
rate, which poses challenges for healthcare and medical systems. This study examines …

The increase in the concentration of geological gas emissions in the atmosphere and
particularly the increase of methane is considered by the majority of the scientific community …

This study presents a novel solution for ambient assisted living (AAL) applications that
utilizes spiking neural networks (SNNs) and reconfigurable neuromorphic processors. As …

Convolution neural networks (CNNs) are widely applied in many machine learning
applications. Hardware acceleration for CNNs is crucial, given their high computational …

Human action recognition is a computer vision challenge that involves identifying and
classifying human movements and activities. The behavior of humans comprises …

Human action recognition is a classical problem in computer vision and machine learning,
and the task of effectively and efficiently recognising human actions is a concern for …

The Zero-Defect Manufacturing (ZDM) paradigm will drastically change the manufacturing
system and its sociotechnological interactions. Following the idea that 'quality is free', this is …