Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …

The transformer is primarily used in the field of natural language processing. Recently, it has
been adopted and shows promise in the computer vision (CV) field. Medical image analysis …

Lung disease is a most common disease all over the world. A numerous feature extraction
with classification models were discussed previously about the lung disease, but those …

Convolutional Neural Networks (CNNs) have reigned for a decade as the de facto approach
to automated medical image diagnosis. Recently, vision transformers (ViTs) have appeared …

Pneumonia is a widespread and acute respiratory infection that impacts people of all ages.
Early detection and treatment of pneumonia are essential for avoiding complications and …

The deep learning methods based on convolutional neural network (CNN) have been
widely explored in dataset augmentation and recognition of plant leaf diseases. The recently …

Deep reinforcement learning (DRL) is now a research focus for the energy management of
fuel cell vehicles (FCVs) to improve hydrogen utilization efficiency. However, since DRL …

Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders.
A trained radiologist is required for interpreting the radiographs. But sometimes, even …

Numerous epidemic lung diseases such as COVID-19, tuberculosis (TB), and pneumonia
have spread over the world, killing millions of people. Medical specialists have experienced …

The detection and sorting of bruised apples after harvest play a crucial role in improving
their economic value by eliminating surface defects. This also reduces the risk of …