Conventional Machine Learning based on Feature Engineering for Detecting Pneumonia from Chest X-rays. - Jaures Ebiele; Theophilus Ansah-Narh; Steve Djiokap; Emmanuel Proven-Adzri; Marcellin Atemkeng (SAICSIT, 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)

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)

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)

Enhancing corporate bankruptcy prediction via a hybrid genetic algorithm and domain adaptation learning architecture. - Theophilus Ansah-Narh; Ezekiel N. N. Nortey; Emmanuel Proven-Adzri; Richmond Opoku-Sarkodie (Expert Syst. Appl., 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., 2024)