Human activity recognition (HAR) has attracted considerable research attention due to its
essential role in various domains, ranging from healthcare to security, safety, and …

Wearable sensors enable to monitor patients in their everyday living and working
environments. However, since they generate highly personal data, their protection from …

This paper presents a multi-objective problem for the energy planning of an energy hybrid
system. The problem considers three main objectives: minimizing emission pollution and …

The integration of artificial intelligence and blockchain in healthcare promises a significant
transformation in data management, service quality improvement, and increased patient …

Human activity recognition (HAR) can play a vital role in biomedical and health informatics
by enabling the monitoring of human daily activities and health behaviors. Accurate HAR …

In recent years, significant advancements have been made in the field of brain–computer
interfaces (BCIs), particularly in the area of emotion recognition using EEG signals. The …

This study proposes day-ahead power scheduling for electrical systems in off-grid mode,
emphasizing consumer involvement. Bi-Demand Side Management (DSM) approaches like …

Emotion is an intricate cognitive state that, when identified, can serve as a crucial
component of the brain–computer interface. This study examines the identification of two …

In recent decades, many different governmental and nongovernmental organizations have
used lie detection for various purposes, including ensuring the honesty of criminal …

Human Activity Recognition (HAR) systems are pivotal for numerous applications in
pervasive computing. The rapid proliferation of smart devices, including smartphones has …