Theophilus Ansah-Narh

According to our database, Theophilus Ansah-Narh authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

Smart Ensemble Learning Framework for Predicting Groundwater Heavy Metal Pollution.

Theophilus Ansah-Narh, George Yamoah Afrifa, Joseph Bremang Tandoh, K. Asare, M. Addi, Kow Ahor Essel-Yorke, D. M. A. Akpoley, K. Aidoo, S. K. Fosuhene

CoRR, May, 2026

Unsupervised Electrofacies Classification and Porosity Characterization in the Offshore Keta Basin Using Wireline Logs.

Hamdiya Adams, Theophilus Ansah-Narh, Daniel Kwadwo Asiedu, Bruce Kofi Banoeng-Yakubo, Marcellin Atemkeng, Thomas Armah, Richmond Opoku-Sarkodie, Rebecca Davis, Ezekiel Nii Noye Nortey

CoRR, April, 2026

Anomaly Detection in Soil Heavy Metal Contamination Using Unsupervised Learning for Environmental Risk Assessment.

Isaac Tettey Adjokatse, Samuel Senyo Koranteng, George Yamoah Afrifa, Theophilus Ansah-Narh, Marcellin Atemkeng, Joseph Bremang Tandoh, Kow Ahor Essel-Yorke, Richmond Opoku-Sarkodie, Rebecca Davis

CoRR, April, 2026

An Optimised Greedy-Weighted Ensemble Framework for Financial Loan Default Prediction.

Ezekiel Nii Noye Nortey, Jones Asante-Koranteng, Marcellin Atemkeng, Theophilus Ansah-Narh, David Mensah, Rebecca Davis, Ravenhill Adjetey Laryea

CoRR, March, 2026

Bayesian inference of nonlinear malaria dynamics in Ghana via an ensemble Markov chain Monte Carlo sampler.

Theophilus Ansah-Narh, Y. Asare Afrane, Joseph Bremang Tandoh

Expert Syst. Appl., 2026

Decoding the Radio Sky: Bayesian ensemble learning and SVD-based feature extraction for automated radio galaxy classification.

Theophilus Ansah-Narh, Jordan Lontsi Tedongmo, Joseph Bremang Tandoh, Nia Imara, Ezekiel Nii Noye Nortey

Astron. Comput., 2026

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