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Rockefeller Rockefeller
Rockefeller Rockefeller
PhD Student
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Anomaly detection in power generation plants using machine learning and neural networks
J Mulongo, M Atemkeng, T Ansah-Narh, R Rockefeller, GM Nguegnang, ...
Applied Artificial Intelligence 34 (1), 64-79, 2020
262020
Label assisted autoencoder for anomaly detection in power generation plants
M Atemkeng, V Osanyindoro, R Rockefeller, S Hamlomo, J Mulongo, ...
arXiv preprint arXiv:2302.02896, 2023
12023
Improving the Predictive Power of Historical Consistent Neural Networks
R Rockefeller, B Bah, V Marivate, HG Zimmermann
Engineering Proceedings 18 (1), 36, 2022
12022
Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks
G Maxime Nguegnang, M Atemkeng, T Ansah-Narh, R Rockefeller, ...
arXiv e-prints, arXiv: 2202.05591, 2022
1*2022
A Machine Learning Scheme for Speed Prediction in Intelligent Transportation Systems Using a Bi-LSTM Based Model
AN Njoya, AW Wachira, AA Abba Ari, R Rockefeller, AM Gueroui, C Thron, ...
International Journal of Engineering Research in Africa 67, 207-233, 2023
2023
Wind Power Prediction with HCNNs for Turbines
R Rockefeller, B Bah, HG Zimmermann, V Marivate
2023 International Conference on Electrical, Computer and Energy …, 2023
2023
Error Correction Based Deep Neural Networks for Modeling and Predicting South African Wildlife–Vehicle Collision Data
I Nandutu, M Atemkeng, N Mgqatsa, S Toadoum Sari, P Okouma, ...
Mathematics 10 (21), 3988, 2022
2022
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