The rapid population growth results in a crucial problem in the early detection of diseases in
medical research. Among all the cancers unveiled, breast cancer is considered the second …

This review chapter explores the potential benefits and challenges of leveraging distributed
systems for educational planning and resource allocation. Educational institutions can …

Distributed systems have become a tremendous technological force that could revolutionize
company operations while advancing ethics and boosting governance. Distributed systems …

Since past few years, there has been a huge demand for the applications involving
enormous data rate. Between them, Multiple Input–Multiple Output (MIMO) schemes have …

Breast cancer is one of the most prominent sources of death in females. Every year many
women suffer breast cancer, and, in the end, death occurs. The early detection of breast …

Most cases of breast cancer are found in women, and as early detection is key to effective
treatment, it is important to identify the condition as soon as possible. Machine Learning …

Breast cancer poses a global health challenge, with high incidence and mortality rates. Early
detection and precise diagnosis are crucial for patient prognosis. Machine learning (ML) …

Breast cancer, the most common cancer in women, is best detected through screening
programs. Mammography is the most common screening test, yet human error necessitates …

Worldwide approximately 1 in 6 women will succumb to Breast Cancer (BC), making it one
of the most lethal illnesses in the female population. To avoid and receive adequate clinical …

Recently, big data produces a lot of recognition. Agencies have large amounts of data and
extract useful information from databases in which desired patterns and interrelationships …