Peter Appiahene

According to our database, Peter Appiahene authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Evaluating Public Sentiments during Uttarakhand Flood: An Artificial Intelligence Techniques.

Stephen Afrifa, Vijayakumar Varadarajan, Peter Appiahene, Tao Zhang, Richmond Afrifa

Comput. Syst. Sci. Eng., 2024

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, December, 2023

Climate change impact assessment on groundwater level changes: A study of hybrid model techniques.

Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw

IET Signal Process., June, 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., January, 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

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

2022

Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis.

Stephen Afrifa, Tao Zhang, Peter Appiahene, Vijayakumar Varadarajan

Future Internet, 2022

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

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

2019

Intelligent System for Credit Risk Management in Financial Institutions.

Philip Sarfo-Manu, Gifty Siaw, Peter Appiahene

Int. J. Artif. Intell. Mach. Learn., 2019

2018

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