Mental health is a basic need for a sustainable and developing society. The prevalence and
financial burden of mental illness have increased globally, and especially in response to …

Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and
artificial intelligence (AI), outperforming traditional ML methods, especially in handling …

Batik is one of the hereditary cultural heritages which has a high aesthetic value and a deep
philosophy. Batik is one of the cultural icons from Indonesia which was awarded as a …

Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …

The growing number of low-power smart devices in the Internet of Things is coupled with the
concept of “edge computing” that is moving some of the intelligence, especially machine …

Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …

This study aims to investigate the performance of Machine Learning (ML) techniques used in
Human Activity Recognition (HAR). Techniques considered are Naïve Bayes, Support …

Classification of the very high-resolution (VHR) imagery scene has become a challenging
problem. The convolutional neural network (CNN) has increased the accuracy in this area …

The advancements in the Internet of Things (IoT), artificial intelligence, and state-of-the-art
computing techniques are the main pillars of the next-generation defense technology. The …

This study proposed a wearable device capable of recognizing six human daily activities
(walking, walking upstairs, walking downstairs, sitting, standing, and lying) through a deep …