[HTML][HTML] Homogeneous adaboost ensemble machine learning algorithms with reduced entropy on balanced data

MT Ramakrishna, VK Venkatesan, I Izonin, M Havryliuk… - Entropy, 2023 - mdpi.com
Today's world faces a serious public health problem with cancer. One type of cancer that
begins in the breast and spreads to other body areas is breast cancer (BC). Breast cancer is …

Classification prediction of breast cancer based on machine learning

H Chen, N Wang, X Du, K Mei… - Computational …, 2023 - Wiley Online Library
Breast cancer is the most common and deadly type of cancer in the world. Based on
machine learning algorithms such as XGBoost, random forest, logistic regression, and K …

[HTML][HTML] Complete breast cancer detection and monitoring system by using microwave textile based antenna sensors

DN Elsheakh, RA Mohamed, OM Fahmy, K Ezzat… - Biosensors, 2023 - mdpi.com
This paper presents the development of a new complete wearable system for detecting
breast tumors based on fully textile antenna-based sensors. The proposed sensor is …

[HTML][HTML] High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative Approach

VK Venkatesan, MT Ramakrishna, A Batyuk, A Barna… - Systems, 2023 - mdpi.com
The Artificial Intelligence Recommender System has emerged as a significant research
interest. It aims at helping users find things online by offering recommendations that closely …

[HTML][HTML] Air quality prediction by machine learning models: A predictive study on the indian coastal city of Visakhapatnam

G Ravindiran, G Hayder, K Kanagarathinam… - Chemosphere, 2023 - Elsevier
Clean air is critical component for health and survival of human and wildlife, as atmospheric
pollution is associated with a number of significant diseases including cancer. However, due …

[HTML][HTML] Efficient data preprocessing with ensemble machine learning technique for the early detection of chronic kidney disease

VK Venkatesan, MT Ramakrishna, I Izonin… - Applied Sciences, 2023 - mdpi.com
It is a serious global health concern that chronic kidney disease (CKD) kills millions of
people each year as a result of poor lifestyle choices and inherited factors. Effective …

[HTML][HTML] A hybrid algorithm of ML and XAI to prevent breast cancer: a strategy to support decision making

F Silva-Aravena, H Núñez Delafuente… - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is one of the most common health problems in the world. As
a result, governments and researchers in different countries are trying to help prevent the …

A novel autoencoder based feature independent GA optimised XGBoost classifier for IoMT malware detection

L Dhanya, R Chitra - Expert Systems with Applications, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT) has a network of interconnected medical
devices to capture patients' health metrics and store them in a centralized server for analysis …

[HTML][HTML] Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer

SR Sannasi Chakravarthy, N Bharanidharan… - BMC Medical …, 2024 - Springer
Breast Cancer is a significant global health challenge, particularly affecting women with
higher mortality compared with other cancer types. Timely detection of such cancer types is …

[HTML][HTML] A Review of Optimization and Measurement Techniques of the Friction Stir Welding (FSW) Process

DAP Prabhakar, A Korgal, AK Shettigar… - … of Manufacturing and …, 2023 - mdpi.com
This review reports on the influencing parameters on the joining parts quality of tools and
techniques applied for conducting process analysis and optimizing the friction stir welding …