Theophilus Ansah-Narh

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 5

Top Topics

Power Generation

Anomaly Detection

Machine Learning

Top Venues

Appl. Artif. Intell.

Expert Syst. Appl.

Publications

Theophilus Ansah-Narh, Ezekiel N. N. Nortey, Emmanuel Proven-Adzri, Richmond Opoku-Sarkodie
Enhancing corporate bankruptcy prediction via a hybrid genetic algorithm and domain adaptation learning architecture. Expert Syst. Appl. 258 (2024)
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 (2023)
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 (2022)
Jecinta Mulongo, Marcellin Atemkeng, Theophilus Ansah-Narh, Rockefeller Rockefeller, Gabin Maxime Nguegnang, Marco Andrea Garuti
Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks. Appl. Artif. Intell. 34 (1) (2020)
Jaures Ebiele, Theophilus Ansah-Narh, Steve Djiokap, Emmanuel Proven-Adzri, Marcellin Atemkeng
Conventional Machine Learning based on Feature Engineering for Detecting Pneumonia from Chest X-rays. SAICSIT (2020)