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Theophilus Ansah-Narh
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2020 – today
- 2024
- [j3]Theophilus Ansah-Narh
, Ezekiel N. N. Nortey
Enhancing corporate bankruptcy prediction via a hybrid genetic algorithm and domain adaptation learning architecture. Expert Syst. Appl. 258: 125133 (2024) - [j2]Marcellin Atemkeng, Victor Osanyindoro, Rockefeller Rockefeller, Sisipho Hamlomo, Jecinta Mulongo, Theophilus Ansah-Narh, Franklin Tchakounté, Arnaud Nguembang Fadja:
Ensemble learning and deep learning-based defect detection in power generation plants. J. Intell. Syst. 33(1) (2024) - 2023
- [i2]Marcellin Atemkeng, Victor Osanyindoro, Rockefeller Rockefeller, Sisipho Hamlomo, Jecinta Mulongo, Theophilus Ansah-Narh, Franklin Tchakounté, Arnaud Nguembang Fadja:
Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants. CoRR abs/2302.02896 (2023) - 2022
- [i1]Gabin Maxime Nguegnang, Marcellin Atemkeng, Theophilus Ansah-Narh, Rockefeller Rockefeller, Jecinta Mulongo, Marco Andrea Garuti:
Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks. CoRR abs/2202.05591 (2022) - 2020
- [j1]Jecinta Mulongo, Marcellin Atemkeng
Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks. Appl. Artif. Intell. 34(1): 64-79 (2020) - [c1]Jaures Ebiele
Conventional Machine Learning based on Feature Engineering for Detecting Pneumonia from Chest X-rays. SAICSIT 2020: 149-155
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