In the era of pervasive computing and wearable technology, the accurate recognition of
human activities has gained paramount importance across a spectrum of applications, from …

In recent years, several deep learning (DL) approaches, such as convolutional neural
networks (CNN) and recurrent neural networks (RNN), have been utilized to carry out side …

This paper explores the domain of Human Activity Recognition (HAR) utilizing sensor-based
data and machine learning models. Deeply, the paper research two data fusion methods …

Soil image classification is an important task in agricultural and environmental applications.
With the advent of deep learning, image-based soil classification has become a popular …

Soil image classification is an important task in agricultural and environmental applications.
With the advent of deep learning, image-based soil classification has become a popular …

Diabetes has become increasingly prevalent in people of all age groups, posing a
significant health challenge. The rising number of individuals affected by diabetes can be …