[HTML][HTML] Machine learning-based diagnosis of breast cancer utilizing feature optimization technique

KMM Uddin, N Biswas, ST Rikta, SK Dey - Computer Methods and …, 2023 - Elsevier
Breast cancer disease is recognized as one of the leading causes of death in women
worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops …

A robust technique of fake news detection using Ensemble Voting Classifier and comparison with other classifiers

A Mahabub - SN Applied Sciences, 2020 - Springer
These days online networking is generally utilized as the wellspring of data as a result of its
ease, simple to get to nature. In any case, expending news from online life is a twofold …

Asynchronous adaptive fault-tolerant sliding-mode control for T–S fuzzy singular Markovian jump systems with uncertain transition rates

M Li, X Chen, M Liu, Y Zhang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In this article, the problem of asynchronous sliding-mode control (SMC) for a class of
nonlinear singular Markovian jump systems (SMJSs) with actuator faults and uncertain …

Performance review of ensemble learning method use in COVID-19 case detection

VF Fadli, I Soesanti, HA Nugroho - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
COVID-19 cases attract most computer science researchers. There are two popular learning
approaches: Machine Learning (ML) and Deep Learning (DL). The approach was applied …

A robust voting approach for diabetes prediction using traditional machine learning techniques

A Mahabub - SN Applied Sciences, 2019 - Springer
The noteworthy advances in biotechnology and biomedical sciences have prompted a huge
creation of information, for example, high throughput genetic information and clinical data …

[PDF][PDF] Analysis of weight-based voting classifier for intrusion detection system

M Hasanah, RA Putri, M Aidie, R Putra… - International Journal of …, 2024 - inass.org
The evolution of technology and the internet has accelerated the pace of communication
and information exchange. Despite technological advancements, the significant weakness …

An ensemble hard voting model for cardiovascular disease prediction

AZSB Habib, T Tasnim - 2020 2nd International Conference on …, 2020 - ieeexplore.ieee.org
With the evolution of trending technologies, health informatics has played a vital role in
making our day-to-day lives more comfortable. The availability of enough medical data and …

A Novel Ensemble‐Based Technique for the Preemptive Diagnosis of Rheumatoid Arthritis Disease in the Eastern Province of Saudi Arabia Using Clinical Data

SO Olatunji, A Alansari, H Alkhorasani… - … Methods in Medicine, 2022 - Wiley Online Library
Rheumatoid arthritis (RA) is a chronic inflammatory disease caused by numerous genetic
and environmental factors leading to musculoskeletal system pain. RA may damage other …

Effectiveness of ensemble machine learning algorithms in weather forecasting of Bangladesh

A Mahabub, AZSB Habib, MRH Mondal… - Innovations in Bio …, 2021 - Springer
Abstract Machine learning (ML) is considered as a fundamental approach in predicting
different phenomena including weather. This paper focuses on the application of ML models …

Chip appearance inspection method for high-precision SMT equipment

H Zhang, H Sun, P Shi - Machines, 2021 - mdpi.com
In order to meet the defect-detection requirements of chips in high-precision surface mount
technology (SMT) equipment widely used in the electronic industry, a chip appearance …