Objective: The likelihood of timely treatment for cervical cancer increases with timely
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …

Computer aided categorization of smear images are considered as an open problem for a
last few decades. Cervical cancer is the main cause of mortality among women population …

Cervical cancer has become the third most common form of cancer in the in‐universe, after
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …

Network intrusion detection systems (NIDSs) play an important role in computer network
security. There are several detection mechanisms where anomaly-based automated …

Soil thermal conductivity (λ) is an important thermal property that is crucial for surface energy
balance and water balance studies. 1602 measured soil thermal conductivity values …

This narrative review delves into the potential of artificial intelligence (AI) in predicting,
stratifying risk, and personalizing treatment planning for congenital heart disease (CHD) …

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 …

Early diagnosis of abnormal cervical cells enhances the chance of prompt treatment for
cervical cancer (CrC). Artificial intelligence (AI)‐assisted decision support systems for …

The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide.
This gynecological carcinoma causes many deaths, even though it can be treated by …

Novel methods and materials are used in healthcare applications for finding cancer in
various parts of the human system. To select the most suitable therapy plan for individuals …