Brain tumors pose a significant threat to human lives and have gained increasing attention
as the tenth leading cause of global mortality. This study addresses the pressing issue of …

The automatic and accurate segmentation of brain tumors from medical images is vital for
treatment planning, including surgery, chemotherapy, and radiotherapy. Deep neural …

Brain cancer remains a formidable health challenge, necessitating continuous advancement
in diagnostic and therapeutic strategies. Feature extraction techniques, encompassing …

In this current era, biomedical big data handling is a challenging task. Interestingly, the
integration of multi-modal data, followed by significant feature mining (gene signature …

At present, the prediction of brain tumors is performed using Machine Learning (ML) and
Deep Learning (DL) algorithms. Although various ML and DL algorithms are adapted to …

Anemia is a common condition marked by a deficiency in red blood cells or hemoglobin,
affecting the body's ability to deliver oxygen to tissues. Accurate and timely diagnosis is …

The rapid growth of e-commerce has resulted in an increasingly competitive landscape
where businesses strive to provide personalized and engaging experiences to their …

Abstract “From Algorithms to Ethics: XAI's Impact on E-Commerce” explores the pivotal role
that Explainable Artificial Intelligence plays in transforming the e-commerce landscape. It …

Explaining deep learning models has become crucial in various domains, including medical
image processing. Understanding these models' decision making processes is complicated …

A reliable data safety model is currently an urgent demand for the healthcare system across
the world, especially for people dwelling in rural areas, and this domain requires top-notch …