The Single Instruction Multiple Data (SIMD) architecture, supported by various high-
performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model …

In the rapidly evolving landscape of electronics, Artificial Intelligence Circuits and Systems
(AICAS) stand out as a groundbreaking frontier. This review provides an exhaustive …

Skin cancer develops due to the unusual growth of skin cells. Early detection is critical for
the recognition of multiclass pigmented skin lesions (PSLs). At an early stage, the manual …

Background Pneumonia is a respiratory disease caused by bacteria; it affects many people,
particularly in impoverished countries where pollution, unclean living standards …

Background The advancement of biomedical research generates myriad healthcare-
relevant data, including medical records and medical device maintenance information. The …

Abstract Background Every year, around 1.5 million women worldwide receive a breast
cancer diagnosis, which is why the mortality rate for women is rising. Scientists have …

Accurate nuclear instance segmentation and classification in histopathologic images are the
foundation of cancer diagnosis and prognosis. Several challenges are restricting the …

Due to its fantastic performance in the quality of the images created, Generator Adversarial
Networks have recently become a viable option for image reconstruction. The main problem …

Image processing combined with computer vision is creating a vast breakthrough in many
research, industry-related, and social applications. The growth of big data has led to the …

Real-world deployment of Automatic Target Recognition (ATR) in Synthetic Aperture Radar
(SAR) often faces challenges due to the computational demands of Convolutional Neural …