Deep neural networks (DNN) have remarkably progressed in applications involving large
and complex datasets but have been criticized as a black-box. This downside has recently …

Early-stage detection of breast cancer disease and its accurate diagnosis have been always
challenging for the healthcare professional. An IoT healthcare system can play a vital role in …

Attention mechanism is one of the foremost later and effective deep learning methods which
have shown tremendous performance in detection and classification tasks, including …

This paper offers a fuzzy-based manoeuvring model labeled as Fuzzy-based Midvehicle
Collision Avoidance System (FMCAS) resolving two road crash scenarios. The first scenario …

We have entered the era of big data. Traditional B2C monitoring platforms are far from being
able to meet the needs of existing users, and transmission costs will create invisible …

Amidst of all the tumors, breast tumor is the main source for a high incidence mortality rate
among women. In the past decades, this mortality rate has tremendously reduced by early …

Skin cancer is usually classified as melanoma and non-melanoma. Melanoma now
represents 75% of humans passing away worldwide and is one of the most brutal types of …

Oryza sativa (Rice) is the world's most significant cereal harvest. It is taken as a staple feast
for energy by the greater part of the total populace. Abiotic and biotic components like …

Breast cancer (BC) is the most common cause of women's deaths worldwide. The
mammography technique is the most important modality for the detection of BC. To detect …

Biometrics is a branch of information technology that is rapidly expanding. The technologies
are computer-assisted systems for relating to people based on their natural and behavioral …