Peter Appiahene

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cloud data privacy protection with homomorphic algorithm: a systematic literature review.
J. Cloud Comput.
Michael Ayitey Junior, Peter Appiahene, Obed Appiah, Kwabena Adu
2025 J jnl
Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks.
Appl. Comput. Intell. Soft Comput.
Stephen Afrifa, Tao Zhang, Peter Appiahene, Xin Zhao, Varadarajan Vijayakumar, Thomas Atta-Darkwah, Yanzhang Geng, Daniel Adu-Gyamfi, Rose-Mary Owusuaa Mensah Gyening
2025 J jnl
Sentiment and Deep Learning Analysis of Childbirth Experiences: Insights for Improving Maternity Care and Hospital Policies.
Appl. Comput. Intell. Soft Comput.
Stephen Afrifa, Tao Zhang, Varadarajan Vijayakumar, Yanzhang Geng, Peter Appiahene, Ferenc Erdós
2024 J jnl
Evaluating Public Sentiments during Uttarakhand Flood: An Artificial Intelligence Techniques.
Comput. Syst. Sci. Eng.
Stephen Afrifa, Vijayakumar Varadarajan, Peter Appiahene, Tao Zhang, Richmond Afrifa
2024 J jnl
Robust and resourceful automobile insurance fraud detection with multi-stacked LSTM network and adaptive synthetic oversampling.
Int. J. Appl. Decis. Sci.
Isaac Kofi Nti, Kwabena Adu, Peter Nimbe, Owusu Nyarko-Boateng, Adebayo Felix Adekoya, Peter Appiahene
2023 J jnl
Climate change impact assessment on groundwater level changes: A study of hybrid model techniques.
IET Signal Process.
Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw
2023 J jnl
Cocoa beans classification using enhanced image feature extraction techniques and a regularized Artificial Neural Network model.
Eng. Appl. Artif. Intell.
Opoku Eric, Rose-Mary Owusuaa Mensah Gyening, Obed Appiah, Kate Takyi, Peter Appiahene
2023 J jnl
Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms.
BioData Min.
Peter Appiahene, Justice Williams Asare, Emmanuel Timmy Donkoh, Giovanni Dimauro, Rosalia Maglietta
2023 J jnl
Exploring the Impact of Students Demographic Attributes on Performance Prediction through Binary Classification in the KDP Model.
Knowl. Eng. Data Sci.
Issah Iddrisu, Peter Appiahene, Obed Appiah, Fuseini Inusah
2023 J jnl
Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis.
J. Big Data
Michael Ayitey Junior, Peter Appiahene, Obed Appiah, Ninfaakanga Christopher Bombie
2022 J jnl
Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis.
Future Internet
Stephen Afrifa, Tao Zhang, Peter Appiahene, Vijayakumar Varadarajan
2020 J jnl
Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks.
Adv. Fuzzy Syst.
Peter Appiahene, Yaw Marfo Missah, Najim Ussiph
2020 J jnl
Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach.
Adv. Fuzzy Syst.
Emmanuel Awoin, Peter Appiahene, Frank Gyasi, Abdulai Sabtiwu
2019 J jnl
Intelligent System for Credit Risk Management in Financial Institutions.
Int. J. Artif. Intell. Mach. Learn.
Philip Sarfo-Manu, Gifty Siaw, Peter Appiahene
2018 J jnl
Information Technology Impact on Productivity: A Systematic Review and Meta-Analysis of the Literature.
Int. J. Inf. Commun. Technol. Hum. Dev.
Peter Appiahene, Najim Ussiph, Yaw Marfo Missah