Rethinking k-means clustering in the age of massive datasets: a constant-time approach. - Peter O. Olukanmi; Fulufhelo V. Nelwamondo; Tshilidzi Marwala (Neural Comput. Appl., 2020)

Automatic detection of outliers and the number of clusters in k-means clustering via Chebyshev-type inequalities. - Peter O. Olukanmi; Fulufhelo V. Nelwamondo; Tshilidzi Marwala; Bhekisipho Twala (Neural Comput. Appl., 2022)

Heterogeneous Ensemble for Classifying Electrical Load Reduction in South Africa. - Solomon Oluwole Akinola; Qing-Guo Wang; Peter O. Olukanmi; Tshilidzi Marwala (IEA/AIE (2), 2023)

Development of Series-Parallel and Neural-Network Based Models for Predicting Electrical Conductivity of Polymer Nanocomposite. - Oladipo Folorunso; Peter O. Olukanmi; Thokozani Shongwe; Rotimi Sadiku; Yskandar Hamam (IEEE Access, 2023)

A Signature Transform of Limit Order Book Data for Stock Price Prediction. - Thendo Sidogi; Wilson Tsakane Mongwe; Rendani Mbuvha; Peter O. Olukanmi; Tshilidzi Marwala (IEEE Access, 2023)

A Boosted Evolutionary Neural Architecture Search for Timeseries Forecasting with Application to South African COVID-19 Cases. - Solomon Oluwole Akinola; Qing-Guo Wang; Peter O. Olukanmi; Tshilidzi Marwala (Int. J. Online Biomed. Eng., 2023)

Optimal Electricity Load Interruption Based on Time Series Classification With Super Learner and Feature Filtering. - Solomon Oluwole Akinola; Peter O. Olukanmi; Qing-Guo Wang; Tshilidzi Marwala (IEEE Access, 2024)

Application of Blockchain Technology in Carbon Trading Market: A Systematic Review. - Timileyin P. Abiodun; Nnamdi I. Nwulu; Peter O. Olukanmi (IEEE Access, 2025)

Predicting Block Delays in Bitcoin Blockchain via Bayesian and Non-Bayesian Logistic Regression. - Phumzile T. Mgcima; Wilson Tsakane Mongwe; Peter O. Olukanmi (IEEE Access, 2025)

k-Means-MIND: comparing seeds without repeated k-means runs. - Peter O. Olukanmi; Fulufhelo Vincent Nelwamondo; Tshilidzi Marwala (Neural Comput. Appl., 2025)