Parkinson's disease and Alzheimer's disease are among the most common
neurodegenerative disorders. These diseases are correlated with advancing age and are …

Convolutional neural networks (CNN) have been increasingly popular in image
categorization in recent years. Hyperparameter optimization is a critical stage in enhancing …

Abstract The industrial Internet of Things (IIoTs) network life is shortened due to sensor node
(SN) energy limitations and computational capability. As a result, optimum node location …

The demand for the Internet of Things (IoT) has significantly increased in the current
scenario; specific sectors that require IoT include industrial automation, home control, health …

Due to the high classification accuracy and fast computational speed offered by Deep
Neural Networks (DNNs), they have been widely used for the design and development of …

Abstract The intelligent Internet of Vehicles (IoV) provides superior results in effectively
addressing complex transportation challenges. Predicting vehicle traffic, crashes, demand …

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

Biomedical image analysis has played a pivotal role in modern healthcare by facilitating
automated analysis and interpretation of medical images. Biomedical image classification is …

Abstract Wireless Sensor Network (WSN) fulfills the requirements to solve real-life
applications due to their unattended nature. But, the main constraint faced by researchers is …

Biomedical research heavily relies on automated image classification to enhance
understanding of protein structure and function. This study proposes a novel approach for …