Abstract Introduction Particularly within the Internet of Medical Things (IoMT) context, skin
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …

Automatic classification of Lyme disease rashes on the skin helps clinicians and
dermatologists' probe and investigate Lyme skin rashes effectively. This paper proposes a …

Algorithms for steganography are methods of hiding data transfers in media files. Several
machine learning architectures have been presented recently to improve stego image …

Road damage detection (RDD) through computer vision and deep learning techniques can
ensure the safety of vehicles and humans on the roads. Integrating unmanned aerial …

Around one in eight women will be diagnosed with breast cancer at some time. Improved
patient outcomes necessitate both early detection and an accurate diagnosis. Histological …

Many plant species have a startling degree of morphological similarity, making it difficult to
split and categorize them reliably. Unknown plant species can be challenging to classify and …

This paper examines deep learning models for accurate and efficient identification and
classification of pavement distresses. In it, a variety of related studies conducted on the topic …

In order to develop a safe, secure, and smart transportation system, massive research is
being conducted and various steps are being taken by the government and different …

In order to develop a safe, secure, and smart transportation system, massive research is
being conducted and various steps are being taken by the government and different …