Information Technology Impact on Productivity: A Systematic Review and Meta-Analysis of the Literature. - Peter Appiahene; Najim Ussiph; Yaw Marfo Missah (Int. J. Inf. Commun. Technol. Hum. Dev., 2018)

Intelligent System for Credit Risk Management in Financial Institutions. - Philip Sarfo-Manu; Gifty Siaw; Peter Appiahene (Int. J. Artif. Intell. Mach. Learn., 2019)

Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks. - Peter Appiahene; Yaw Marfo Missah; Najim Ussiph (Adv. Fuzzy Syst., 2020)

Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach. - Emmanuel Awoin; Peter Appiahene; Frank Gyasi; Abdulai Sabtiwu (Adv. Fuzzy Syst., 2020)

Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis. - Stephen Afrifa; Tao Zhang 072; Peter Appiahene; Vijayakumar Varadarajan 001 (Future Internet, 2022)

Cocoa beans classification using enhanced image feature extraction techniques and a regularized Artificial Neural Network model. - Opoku Eric; Rose-Mary Owusuaa Mensah Gyening; Obed Appiah; Kate Takyi; Peter Appiahene (Eng. Appl. Artif. Intell., 2023)

Exploring the Impact of Students Demographic Attributes on Performance Prediction through Binary Classification in the KDP Model. - Issah Iddrisu; Peter Appiahene; Obed Appiah; Fuseini Inusah (Knowl. Eng. Data Sci., 2023)

Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms. - Peter Appiahene; Justice Williams Asare; Emmanuel Timmy Donkoh; Giovanni Dimauro; Rosalia Maglietta (BioData Min., 2023)

Climate change impact assessment on groundwater level changes: A study of hybrid model techniques. - Stephen Afrifa; Tao Zhang 025; Xin Zhao 006; Peter Appiahene; Mensah Samuel Yaw (IET Signal Process., 2023)

Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis. - Michael Ayitey Junior; Peter Appiahene; Obed Appiah; Ninfaakanga Christopher Bombie (J. Big Data, 2023)

Evaluating Public Sentiments during Uttarakhand Flood: An Artificial Intelligence Techniques. - Stephen Afrifa; Vijayakumar Varadarajan 001; Peter Appiahene; Tao Zhang 072; Richmond Afrifa (Comput. Syst. Sci. Eng., 2024)

Robust and resourceful automobile insurance fraud detection with multi-stacked LSTM network and adaptive synthetic oversampling. - Isaac Kofi Nti; Kwabena Adu; Peter Nimbe; Owusu Nyarko-Boateng; Adebayo Felix Adekoya; Peter Appiahene (Int. J. Appl. Decis. Sci., 2024)

Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks. - Stephen Afrifa; Tao Zhang; Peter Appiahene; Xin Zhao 006; Varadarajan Vijayakumar 001; Thomas Atta-Darkwah; Yanzhang Geng; Daniel Adu-Gyamfi; Rose-Mary Owusuaa Mensah Gyening (Appl. Comput. Intell. Soft Comput., 2025)