Peter Appiahene

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Systematic Review

Binary Classification

Financial Institutions

Top Venues

Adv. Fuzzy Syst.

Int. J. Artif. Intell. Mach. Learn.

Eng. Appl. Artif. Intell.

Publications

Isaac Kofi Nti, Kwabena Adu, Peter Nimbe, Owusu Nyarko-Boateng, Adebayo Felix Adekoya, Peter Appiahene
Robust and resourceful automobile insurance fraud detection with multi-stacked LSTM network and adaptive synthetic oversampling. Int. J. Appl. Decis. Sci. 17 (2) (2024)
Issah Iddrisu, Peter Appiahene, Obed Appiah, Fuseini Inusah
Exploring the Impact of Students Demographic Attributes on Performance Prediction through Binary Classification in the KDP Model. Knowl. Eng. Data Sci. 6 (1) (2023)
Peter Appiahene, Justice Williams Asare, Emmanuel Timmy Donkoh, Giovanni Dimauro, Rosalia Maglietta
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms. BioData Min. 16 (1) (2023)
Opoku Eric, Rose-Mary Owusuaa Mensah Gyening, Obed Appiah, Kate Takyi, Peter Appiahene
Cocoa beans classification using enhanced image feature extraction techniques and a regularized Artificial Neural Network model. Eng. Appl. Artif. Intell. 125 (2023)
Michael Ayitey Junior, Peter Appiahene, Obed Appiah, Ninfaakanga Christopher Bombie
Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis. J. Big Data 10 (1) (2023)
Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw
Climate change impact assessment on groundwater level changes: A study of hybrid model techniques. IET Signal Process. 17 (6) (2023)
Stephen Afrifa, Tao Zhang, Peter Appiahene, Vijayakumar Varadarajan
Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis. Future Internet 14 (9) (2022)
Peter Appiahene, Yaw Marfo Missah, Najim Ussiph
Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks. Adv. Fuzzy Syst. 2020 (2020)
Emmanuel Awoin, Peter Appiahene, Frank Gyasi, Abdulai Sabtiwu
Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach. Adv. Fuzzy Syst. 2020 (2020)
Philip Sarfo-Manu, Gifty Siaw, Peter Appiahene
Intelligent System for Credit Risk Management in Financial Institutions. Int. J. Artif. Intell. Mach. Learn. 9 (2) (2019)
Peter Appiahene, Najim Ussiph, Yaw Marfo Missah
Information Technology Impact on Productivity: A Systematic Review and Meta-Analysis of the Literature. Int. J. Inf. Commun. Technol. Hum. Dev. 10 (3) (2018)