Simple Summary This paper presents a cervical cancer detection approach where the KNN
Imputer techniques is used to fill the missing values and after that SMOTE upsampled …

Breast cancer (BC) is a common and highly lethal ailment. It stands as the second leading
contributor to cancer-related deaths in women worldwide. The timely identification of this …

Simple Summary This study presents a hybrid model for brain tumor detection. Contrary to
manual featur extraction, features extracted from a convolutional neural network are used to …

Cervical cancer is a leading cause of women's mortality, emphasizing the need for early
diagnosis and effective treatment. In line with the imperative of early intervention, the …

Chronic kidney disease (CKD) is a major health concern today, requiring early and accurate
diagnosis. Machine learning has emerged as a powerful tool for disease detection, and …

Brain tumors, along with other diseases that harm the neurological system, are a significant
contributor to global mortality. Early diagnosis plays a crucial role in effectively treating brain …

Multimedia systems and metaverse has been gaining increasing interest for education in
virtual environments. With wide adoption of these technologies, the data is expected to grow …

Simple Summary Ovarian cancer is one of leading cause of death among women and early
detection is important for timely treatment. For its detection at early stages, machine learning …

Citation creates a link between citing and the cited author, and the frequency of citation has
been regarded as the basic element to measure the impact of research and knowledge …

Farmland trees are a vital part of the local economy as trees are used by farmers for
fuelwood as well as food, fodder, medicines, fibre, and building materials. As a result …