This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …

Human exposure to chemical contaminants in food has resulted into various health related
problems. To prevent and mitigate hazardous exposure to chemical contaminants in food, it …

Evolutionary Computation (EC) approaches are inspired by nature and solve optimization
problems in a stochastic manner. They can offer a reliable and effective approach to address …

Deep learning has been proved to be an advanced technology for big data analysis with a
large number of successful cases in image processing, speech recognition, object detection …

Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …

A lot of hype has recently been generated around deep learning, a novel group of artificial
intelligence approaches able to break accuracy records in pattern recognition. Over the …

Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

Food contamination is a matter of serious concern, as the high concentration of chemicals
present in the edibles poses serious health risks. Protecting the public from the degrees of …

In healthcare sector, it is of crucial importance to accurately diagnose Alzheimer's disease
(AD) and its prophase called mild cognitive impairment (MCI) so as to prevent degeneration …