Consolidated efforts have been made to enhance the treatment and diagnosis of heart
disease due to its detrimental effects on society. As technology and medical diagnostics …

The Internet of Things (IoT) has emerged as a fundamental framework for interconnected
device communication, representing a relatively new paradigm and the evolution of the …

In this work, we demonstrate that it is possible to create supervised machine-learning
models using a support vector machine and random forest algorithms to separate yeast cells …

The liver is one of the most vital organs of the human body. Even when partially injured, it
functions normally. Therefore, detecting liver diseases at the early stages is challenging …

Wireless communication systems offer a dynamic infrastructure with efficient data sensing
and forwarding services using digital networks and the Internet of Things (IoT). Many …

Breast cancer (BC) is the most prominent form of cancer among females all over the world.
The current methods of BC detection include X-ray mammography, ultrasound, computed …

We hypothesize that the Gray-Level Co-occurrence Matrix (GLCM) and the Run-Length
Matrix (RLM) techniques can effectively quantify discrete changes in EEG signals, and that …

Introduction Breast Cancer (BC) is a significant cause of high mortality amongst women
globally and probably will remain a disease posing challenges about its detectability …

Актуальность внедрения технологий искусственного интеллекта (ИИ) в диагностику
рака молочной железы (РМЖ) связана с сохраняющимся высоким ростом …

Radiological image analysis using machine learning has been extensively applied to
enhance biopsy diagnosis accuracy and assist radiologists with precise cures. With …