Drug discovery is a daunting and failure‐prone task. A critical process in this research field
is represented by the biological target and pocket identification steps as they heavily …

Most of the existing coverless steganography approaches have poor robustness to
geometric attacks, because these approaches use features of the entire image to map …

Motivation The knowledge of potentially druggable binding sites on proteins is an important
preliminary step toward the discovery of novel drugs. The computational prediction of such …

Machine learning (ML) has revolutionised the field of structure-based drug design (SBDD) in
recent years. During the training stage, ML techniques typically analyse large amounts of …

Vision Transformers are very popular nowadays due to their state-of-the-art performance in
several computer vision tasks, such as image classification and action recognition. Although …

Accurate segmentation is a necessary step in the clinical management of brain tumors.
However, the task remains challenging due to not only large variations in the sizes and …

Accurate lung cancer detection is vital for timely diagnosis and treatment. This study
evaluates the performance of six convolutional neural network (CNN) architectures, ResNet …

Earlier insect pest recognition is one of the critical factors for agricultural yield. Thus, an
effective method to recognize the category of insect pests has become significant issues in …

The COVID-19 diffused quickly throughout the world and converted as a pandemic. It has
caused a destructive effect on both regular lives, common health and global business. It is …

Deep convolutional neural networks (CNNs) have significantly enhanced image
classification in the past decade. This paper proposes Multi-branch Cascade Receptive …