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ORCIDPeter O. Olukanmi
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2020 – today
- 2024
[j6]Solomon Oluwole Akinola
, Peter O. Olukanmi, Qing-Guo Wang, Tshilidzi Marwala:
Optimal Electricity Load Interruption Based on Time Series Classification With Super Learner and Feature Filtering. IEEE Access 12: 68249-68265 (2024)- 2023
- [j5]Thendo Sidogi, Wilson Tsakane Mongwe, Rendani Mbuvha, Peter O. Olukanmi, Tshilidzi Marwala:
A Signature Transform of Limit Order Book Data for Stock Price Prediction. IEEE Access 11: 70598-70609 (2023) - [j4]Oladipo Folorunso, Peter O. Olukanmi, Thokozani Shongwe, Rotimi Sadiku, Yskandar Hamam:
Development of Series-Parallel and Neural-Network Based Models for Predicting Electrical Conductivity of Polymer Nanocomposite. IEEE Access 11: 92875-92886 (2023) - [j3]Solomon Oluwole Akinola, Qing-Guo Wang, Peter O. Olukanmi, Tshilidzi Marwala:
A Boosted Evolutionary Neural Architecture Search for Timeseries Forecasting with Application to South African COVID-19 Cases. Int. J. Online Biomed. Eng. 19(14): 107-130 (2023) - [c1]Solomon Oluwole Akinola, Qing-Guo Wang, Peter O. Olukanmi, Tshilidzi Marwala:
Heterogeneous Ensemble for Classifying Electrical Load Reduction in South Africa. IEA/AIE (2) 2023: 79-89 - 2022
- [j2]Peter O. Olukanmi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala, Bhekisipho Twala:
Automatic detection of outliers and the number of clusters in k-means clustering via Chebyshev-type inequalities. Neural Comput. Appl. 34(8): 5939-5958 (2022) - 2020
- [j1]Peter O. Olukanmi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Rethinking k-means clustering in the age of massive datasets: a constant-time approach. Neural Comput. Appl. 32(19): 15445-15467 (2020)
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