[HTML][HTML] Intelligent decision forest models for customer churn prediction

FE Usman-Hamza, AO Balogun, LF Capretz… - Applied Sciences, 2022 - mdpi.com
Customer churn is a critical issue impacting enterprises and organizations, particularly in the
emerging and highly competitive telecommunications industry. It is important to researchers …

[HTML][HTML] Empirical analysis of tree-based classification models for customer churn prediction

FE Usman-Hamza, AO Balogun, SK Nasiru, LF Capretz… - Scientific African, 2024 - Elsevier
Customer churn is a vital and reoccurring problem facing most business industries,
particularly the telecommunications industry. Considering the fierce competition among …

Performance analysis of machine learning methods with class imbalance problem in android malware detection

AG Akintola, AO Balogun, HA Mojeed… - International Journal of …, 2022 - mostwiedzy.pl
Due to the exponential rise of mobile technology, a slew of new mobile security concerns
has surfaced recently. To address the hazards connected with malware, many approaches …

[HTML][HTML] Empirical analysis of data streaming and batch learning models for network intrusion detection

KS Adewole, TT Salau-Ibrahim, AL Imoize, ID Oladipo… - Electronics, 2022 - mdpi.com
Network intrusion, such as denial of service, probing attacks, and phishing, comprises some
of the complex threats that have put the online community at risk. The increase in the …

[HTML][HTML] Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction

FE Usman-Hamza, AO Balogun, RT Amosa… - Scientific African, 2024 - Elsevier
In recent times, customer churn has become one of the most significant issues in business-
oriented sectors with telecommunication being no exception. Maintaining current customers …

An empirical study on data sampling methods in addressing class imbalance problem in software defect prediction

BJ Odejide, AO Bajeh, AO Balogun… - Computer Science On …, 2022 - Springer
With the growing rate of software systems and their applications in diverse walks of life,
develo** a software system that has no defects is a subject that cannot be …

Detection of phishing URLs with deep learning based on GAN-CNN-LSTM network and swarm intelligence algorithms

AJS Albahadili, A Akbas, J Rahebi - Signal, Image and Video Processing, 2024 - Springer
Phishing attacks are one of the challenges of the Internet and its users. Phishing attacks are
an example of social engineering attacks based on deceiving users. In phishing attacks …

Website phishing detection using machine learning classification algorithms

M Mithra Raj, JA Arul Jothi - International Conference on Applied …, 2022 - Springer
The growth and development of internet technology have made life a lot better and easier. It
has increased the convenience of performing essential transactions with the click of a button …

A Systematic Review on Website Phishing Attack Detection for Online Users

KV Deshpande, J Singh - International Journal of Image and …, 2025 - World Scientific
Phishing is the criminal effort to steal delicate information such as account details,
passwords, usernames, credit, and debit card details for malicious use. Phishing fraud might …

Ensemble Balanced Nested Dichotomy Fuzzy Models for Software Requirement Risk Prediction

G Kumar, AA Imam, S Basri, AS Hashim… - IEEE …, 2024 - ieeexplore.ieee.org
Modern software systems are becoming more intricate, making identification of risks in the
software requirement phase—a fundamental aspect of the software development life cycle …