Theophilus Ansah-Narh

According to our database, Theophilus Ansah-Narh authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

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

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

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

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

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

Proceedings of the SAICSIT '20: Conference of the South African Institute of Computer Scientists and Information Technologists 2020, 2020