[PDF][PDF] Indonesian Journal of Computer Science

B Mardan, AM Abdulazeez - 2023 - pdfs.semanticscholar.org
Credit risk analysis is a critical process in the financial industry, as it helps lenders assess
the likelihood of borrowers defaulting on their loans. With the advent of machine learning …

Leveraging Machine Learning in Classifying Fraudulent and Legitimate Transactions in Banking Sector

MJ Abdullahi - Ilorin Journal of Computer Science and Information …, 2024 - iljcsit.com.ng
This research explores the application of machine learning, specifically the Artificial Neural
Network (ANN) algorithm, for the identification of fraudulent and legitimate transactions in …

[PDF][PDF] Weather Forecasting Using Machine Learning Techniques: Rainfall and Temperature Analysis

A Hussain, A Aslam, S Tripura, V Dhanawat… - Journal of Advances in …, 2024 - preprints.org
Heavy rains result in significant threats to human health and life. Floods and other natural
disasters, which have a global impact annually, can be attributed to extended periods of …

Deep convolutional neural network based synthetic minority over sampling technique: a forfending model for fraudulent credit card transactions in financial institution

LG Salaudeen, D Gabi, M Garba… - Journal of the Nigerian …, 2024 - journal.nsps.org.ng
Fraudulent credit card transactions are committed by unauthorized individuals and
organizations employing methods such as phishing and social engineering fraud tactics …

Credit Card Fraud Detection Based on Machine Learning Classification Algorithm

BM Naman, AM Abdulazeez - The Indonesian Journal of Computer Science, 2024 - ijcs.net
Credit risk analysis is a critical process in the financial industry, as it helps lenders assess
the likelihood of borrowers defaulting on their loans. With the advent of machine learning …

[PDF][PDF] Hidden Markov Model for Cardholder Purchasing Pattern Prediction

OJ Otieno, M Kimwele, K Ogada - International Journal of Advanced …, 2024 - academia.edu
This study utilizes the Hidden Markov Model to predict cardholder purchasing patterns by
monitoring card transaction trends and profiling cardholders based on dominant …

A Novel Methodology for Evaluating Machine Learning Pipelines Applied to the Context of Financial Fraud Detection

S Santos - 2024 - search.proquest.com
Financial fraud is a crime that extracts value from society and creates disadvantages for
economic agents operating in good faith. As the means used for payment evolved, so did …

Credit Card Fraud Detection using Deep Learning and Machine Learning Algorithms

SZS Zahid, HMUHH Muhammad, U Hafeez… - Journal of Innovative …, 2024 - jicet.org
Use of credit card is very common these days. And the number of frauds related to credit
cards are also increasing. With the increase in the usage of internet, many organizations …

[PDF][PDF] Cardiovascular Disease Prediction Using Risk Factors: A Comparative Performance Analysis of Machine Learning Models

A Hussain, A Aslam - cdn.techscience.cn
The diagnosis and prognosis of cardiovascular diseases are critical medical responsibilities
that assist cardiologists in correctly classifying patients and treating them accordingly. The …