Histopathological image classification stands as a cornerstone in the pathological diagnosis
workflow, yet it remains challenging due to the inherent complexity of histopathological …

The tomato crop is more susceptible to disease than any other vegetable, and it can be
infected with over 200 diseases caused by different pathogens worldwide. Tomato plant …

This review offers a comprehensive and in-depth analysis of face mask detection and
recognition technologies, emphasizing their critical role in both public health and …

In recent years, the development of wearable devices and health applications has
influenced the technical development of SHM in sports-related activities. These technologies …

Abstract Coronavirus disease-19 (COVID-19) mitigation includes health screening
procedures at entrances of public and private establishments. Conventional methods …

In contemporary educational settings, understanding and assessing student engagement
through non-verbal cues, especially facial expressions, is pivotal. Such cues have long …

This research stems from the increasing use of hand gestures in various applications, such
as sign language recognition to electronic device control. The focus is the importance of …

The face recognition has been focused on object detection from images using various deep
learning and machine learning models. This work proposes a deep learning model using …

Due to the Covid-19 disease, masked faces identification has become the current challenge.
This type of identification is difficult because masks cover noses and mouths, obscuring …

The idea of adding an auto-recognition feature for Malay Festive Seasons Food based on
images is a very challenging task in computer vision as it is something new and …