Optimization algorithms have come a long way in the last several decades, with the goal of
reducing energy consumption and minimizing interference with primary users during data …

Gene expression analysis can be used as a tool to detect cancer and the type of cancer in its
early stages. However, the computational complexity for gene expression analysis is quite …

Voice-based user interfaces (VUIs) represent a promising avenue for enhancing
accessibility in humancomputer interaction (HCI). This research paper investigates the …

Brain tumor classification using MRI images is a crucial yet challenging task in medical
imaging. Accurate diagnosis is vital for effective treatment planning but is often hindered by …

This study focuses on overcoming communication challenges for individuals with hearing
impairments by exploring automated recognition of sign language signals. People with …

In this study focused on heart disease prediction using machine learning, an analysis of
three key algorithms-Random Forest, Logistic Regression, and K-Nearest Neighbors (KNN) …

Breast Carcinoma, generally known as breast cancer, primarily affects women, though men
can develop it as well. Because of the existence of breast tissue and exposure to female …

Several medical imaging domains, including identification, segmentation, classification, and
registration of imaging data, employ deep learning techniques. Brain tumors are one of the …

Breast cancer remains a significant global health concern, necessitating advanced
predictive tools for early detection and effective prognosis. In response to this challenge, this …

One of the most prevalent cancers, both melanoma and non-melanoma, causes hundreds of
thousands of deaths globally each year. Skin cell growth that isn't normal is how it shows up …