In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …

With the increasing popularity of smartphones, user identification has become a critical
component to ensure security and privacy. This study looked into how smartphone sensors' …

In smart cities, pervasive sensing and wearable computing techniques are increasingly
being employed to monitor and recognize human activities through body sensor networks …

Abstract Non-Insulin-Dependent Diabetes Mellitus (NIDDM) is a chronic health condition
caused by high blood sugar levels, and if not treated early, it can lead to serious …

Human activity recognition (HAR) is a key component of ambient-assisted living and one of
the most active areas of research in the Internet of Things (IoT). The use of wearable and …

Computer vision technologies have greatly improved in the last few years. Many problems
have been solved using deep learning merged with more computational power. Action …

With mobile internet technology improving quickly, smartphones with many sensors have
become increasingly popular for detecting transportation modes. Transportation modes are …

ABSTRACT Human Activity Recognition (HAR) is a field of study referring to the
development of algorithms and systems that can automatically recognize and interpret …

Fall detection is an emerging problem in the field of elderly care and health monitoring. Falls
can cause severe injuries and even death among the elderly, and prompt detection can …

The genesis and spread of illnesses are a major concern in today's rapidly developing
technological and evolutionary environment. The prevention and management of illnesses …