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Forensic Accounting Techniques as Tools for Nigerian Practitioners

Akwa Ibom State University · Nigeria · Benford’s Law and Fraud Detection

Forensic accounting has emerged as a critical discipline in combating financial irregularities, fraud, and

A deep residual 1D-CNN with self-attention for fraud transaction detection in virtual economies

University of Sadat City · Egypt · Imbalanced Data Classification Techniques

As virtual economies in the metaverse continue to grow, the need for real-time

Adaptive Credit Card Fraud Detection: Reinforcement Learning Agents vs. Anomaly Detection Techniques

Ibn Tofail University · Morocco · Imbalanced Data Classification Techniques

Credit card fraud detection remains a critical challenge for financial institutions, particularly due to

Microfinance risk management, social mission and financial performance during the Covid-19 pandemic in Uganda

University of Kisubi · Uganda · Microfinance and Financial Inclusion

Introduction: Microfinance is an economic tool promoted to extend financial services to the vulnerable

Role of Financial Institution on the Growth of Small and Medium Enterprises:-The Case in North Shewa Zone, Amhara Region, Ethiopia

Debre Berhan University · Ethiopia · Microfinance and Financial Inclusion

The objective of this study was to investigate the role of financial institutions on

Optimisation and Resampling methods for Handling Imbalanced Datasets in Credit Card Fraud Detection using Artificial Neural Networks

Abdelmalek Essaâdi University · Morocco · Imbalanced Data Classification Techniques

In recent years, there has been a significant increase in fraud cases, causing financial

Effect of Loanable Funds and Director's Skills on Financial Performance of Non Deposit Taking SACCOS in Mombasa County

Technical University of Mombasa · Kenya · Microfinance and Financial Inclusion

Abstract Kenya"s financial sector includes banking Institutions, non-banking financial institutions and Savings

Beyond the hypes on data rebalancing in imbalance learning: towards a balanced framework and recommender system

Kwara State University · Nigeria · Imbalanced Data Classification Techniques

Effectiveness of the fraud triangle model in the detection of financial statement fraud in South African municipalities

University of Venda · South Africa · Imbalanced Data Classification Techniques

There is a high prevalence of financial statement fraud and wasteful expenditure in South

Detecting Imbalanced Credit Card Fraud via Hybrid Graph Attention and Variational Autoencoder Ensembles

University of South Africa · South Africa · Imbalanced Data Classification Techniques

Credit card fraud detection remains a major challenge due to severe class imbalance and

Forensic Investigation and Fraud Detection in Nigeria: Leveraging on Artificial Intelligence

Chukwuemeka Odumegwu Ojukwu University · Nigeria · Imbalanced Data Classification Techniques

This study explores the integration of Artificial Intelligence (AI) in forensic investigations for fraud

Leveraging data analytics for fraud detection: The future of financial risk mitigation and regulatory compliance

University of Abuja · Nigeria · Imbalanced Data Classification Techniques

The increasing complexity of financial fraud schemes has necessitated the adoption of advanced data

Performance Analysis of ML Algorithms for Fraud Detection in Digital Financial Transactions

University of Pretoria · South Africa · Imbalanced Data Classification Techniques

Digital financial transactions are increasingly vulnerable to fraud, driving the adoption of machine learning

Credit Card Fraud Detection Based on a Hybrid CNN-RNN Deep Learning Model

Suez University · Egypt · Imbalanced Data Classification Techniques

Credit card fraud detection is essential for protecting financial systems by promptly identifying unauthorized

Marrying deep learning within blockchain technology for credit card fraud prevention

Université Sultan Moulay Slimane · Morocco · Imbalanced Data Classification Techniques

Over the last decade or so, an excessive turnout on e-financial transactions by

Behavior Path Analysis for Blockchain Fraud Detection Using Graph Neural Architectures

Midlands State University · Zimbabwe · Imbalanced Data Classification Techniques

With the deep penetration of blockchain technology across various fields, its security system faces

Data Mining for Financial Fraud Detection: Techniques, Case Studies and Challenges

University of Lagos · Nigeria · Imbalanced Data Classification Techniques

Financial fraud is a pervasive issue that causes economic losses and undermines trust in

Multi-Relation Graph Transformer and Edge Aware Learning: A Scalable Approach for Detecting Fraud in Heterogeneous Graphs

Federal University of Technology Owerri · Nigeria · Imbalanced Data Classification Techniques

Detecting fraud in multi-relational graphs is a significant difficulty due to the complex

A Hybrid Bayesian Machine Learning Framework for Simultaneous Job Title Classification and Salary Estimation

Mansoura University · Egypt · Imbalanced Data Classification Techniques

In today’s fast-paced and evolving job market, salary continues to play a

Spectrum-Constrained and Skip-Enhanced Graph Fraud Detection: Addressing Heterophily in Fraud Detection with Spectral and Spatial Modeling

Federal University of Technology Owerri · Nigeria · Imbalanced Data Classification Techniques

Fraud detection in large-scale graphs presents significant challenges, especially in heterophilic graphs where

Fraud Detection in Financial Transactions Using Ensemble Machine Learning Models

Chukwuemeka Odumegwu Ojukwu University · Nigeria · Imbalanced Data Classification Techniques

Financial fraud has been identified as a critical challenge in the banking and e

A Metaheuristic for Fuzzy Density Based SVM and Confidence SMOTE for Early Prediction of Diabetes

Abdelmalek Essaâdi University · Morocco · Imbalanced Data Classification Techniques

Early detection of diabetes, based on observable features, plays a crucial role in preventing

Detecting Fraud in Automated Teller Machine Transactions in the Nigerian Bank System Using Unsupervised Deep Learning

Ladoke Akintola University of Technology · Nigeria · Imbalanced Data Classification Techniques

Automated Teller Machines (ATMs) are globally adopted for financial transactions. However, the exponential rise

A Deep Learning and Resampling Approach to Credit Card Fraud Detection

Ibn Tofail University · Morocco · Imbalanced Data Classification Techniques

Credit card fraud presents a major challenge for both financial institutions and individuals, with