Around the world, agriculture is one of the important sectors of human life in terms of food,
business, and employment opportunities. In the farming field, wheat is the most farmed crop …

Dust storms have many negative consequences, and affect all kinds of ecosystems, as well
as climate and weather conditions. Therefore, classification of dust storm sources into …

In the recent past, deep convolutional neural network (DCNN) has been used in majority of
state-of-the-art methods due to its remarkable performance in number of computer vision …

Physical exercise affects many facets of life, including mental health, social interaction,
physical fitness, and illness prevention, among many others. Therefore, several AI-driven …

Accurate short-term forecasting of electrical energy loads is essential for optimizing energy
management in low-carbon buildings. This research presents an innovative two-stage …

This paper presents a human–robot interaction system (HRIS) that utilizes human
perception and action recognition to enable the robot to understand human intentions and …

Infrared (IR) human action recognition (AR) exhibits resilience against shifting illumination
conditions, changes in appearance, and shadows. It has valuable applications in numerous …

Fire detection employing vision sensors has drawn significant attention within the computer
vision community, primarily due to its practicality and utility. Previous research …

Human–machine interactions have become increasingly crucial in the current era of the
Internet of Things (IoT). Mutual feedback is critical for adjusting machine operations to …

Convolutional neural networks (CNN) have shown remarkable performance in enormous
computer vision applications over the years, and many works have been done for human …