Human action recognition targets recognising different actions from a sequence of
observations and different environmental conditions. A wide different applications is …

The monitoring of pests in the field or lab experiments allows to identify the variation of
infection levels and to enhance the development of integrated pest management programs …

In‐field visual inspections have inherent challenges associated with humans such as low
accuracy, excessive cost and time, and safety. To overcome these barriers, researchers and …

Progress in computing capabilities has enhanced science in many ways. In recent years,
various branches of machine learning have been the key facilitators in forging new paths …

The classification of medical images is crucial in the biomedical field, and despite attempts
to address the issue, significant challenges persist. To effectively categorize medical …

This research compares the facial expression recognition accuracy achieved using image
features extracted (a) manually through handcrafted methods and (b) automatically through …

Cervical cancer affects more than 500,000 women in the world annually accounting for
about 6-9% of all cancer cases, but, its tedious detection procedure makes population-wide …

Abstract Deep Learning (DL) particularly CNN has the potential to outplay conventional
Machine Learning (ML) procedures in the realm of computer vision. With the advent of DL …

Attentive learning is an important feature of the learning process. It provides a beneficial
learning experience and plays a key role in generating positive learning outcomes. Most …

Early diagnosis of Coronavirus disease 2019 (COVID-19) is significantly important,
especially in the absence or inadequate provision of a specific vaccine, to stop the surge of …