Rockefeller Rockefeller

According to our database, Rockefeller Rockefeller authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Bootstrap prediction intervals for the long short term memory (LSTM) recurrent neural network.

Josué Nguinabé, Rockefeller Rockefeller, Naushad Mamode Khan, Paulo Canas Rodrigues

Expert Syst. Appl., 2025

2024

Ensemble learning and deep learning-based defect detection in power generation plants.

Marcellin Atemkeng, Victor Osanyindoro, Rockefeller Rockefeller, Sisipho Hamlomo, Jecinta Mulongo, Theophilus Ansah-Narh, Franklin Tchakounté, Arnaud Nguembang Fadja

J. Intell. Syst., February, 2024

2023

Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants.

Marcellin Atemkeng, Victor Osanyindoro, Rockefeller Rockefeller, Sisipho Hamlomo, Jecinta Mulongo, Theophilus Ansah-Narh, Franklin Tchakounté, Arnaud Nguembang Fadja

CoRR, 2023

Wind Power Prediction with HCNNs for Turbines.

Rockefeller Rockefeller, Bubacarr Bah, Hans-Georg Zimmermann, Vukosi Marivate

Proceedings of the International Conference on Electrical, 2023

2022

Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks.

Gabin Maxime Nguegnang, Marcellin Atemkeng, Theophilus Ansah-Narh, Rockefeller Rockefeller, Jecinta Mulongo, Marco Andrea Garuti

CoRR, 2022

2020

Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks.

Jecinta Mulongo, Marcellin Atemkeng, Theophilus Ansah-Narh, Rockefeller Rockefeller, Gabin Maxime Nguegnang, Marco Andrea Garuti

Appl. Artif. Intell., 2020