Peter Appiahene

Orcid: 0000-0002-6098-4537

According to our database1, Peter Appiahene authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Robust and resourceful automobile insurance fraud detection with multi-stacked LSTM network and adaptive synthetic oversampling.
Int. J. Appl. Decis. Sci., 2024

2023
Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis.
J. Big Data, December, 2023

Climate change impact assessment on groundwater level changes: A study of hybrid model techniques.
IET Signal Process., June, 2023

Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms.
BioData Min., January, 2023

Exploring the Impact of Students Demographic Attributes on Performance Prediction through Binary Classification in the KDP Model.
Knowl. Eng. Data Sci., 2023

Cocoa beans classification using enhanced image feature extraction techniques and a regularized Artificial Neural Network model.
Eng. Appl. Artif. Intell., 2023

2022
Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis.
Future Internet, 2022

2020
Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach.
Adv. Fuzzy Syst., 2020

Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks.
Adv. Fuzzy Syst., 2020

2019
Intelligent System for Credit Risk Management in Financial Institutions.
Int. J. Artif. Intell. Mach. Learn., 2019

2018
Information Technology Impact on Productivity: A Systematic Review and Meta-Analysis of the Literature.
Int. J. Inf. Commun. Technol. Hum. Dev., 2018


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