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Leveraging machine learning for enhanced cybersecurity: an intrusion detection system
WM Sahib, ZAA Alhuseen, IDI Saeedi… - … Oriented Computing and …, 2024 - Springer
Classification remains vital in cybersecurity since different data require different protection
measures against threats. This paper compares the Decision Tree, K-Nearest Neighbor …
measures against threats. This paper compares the Decision Tree, K-Nearest Neighbor …
[HTML][HTML] BankNet: Real-Time Big Data Analytics for Secure Internet Banking
K Sathupadi, S Achar, SV Bhaskaran… - Big Data and Cognitive …, 2025 - mdpi.com
The rapid growth of Internet banking has necessitated advanced systems for secure, real-
time decision making. This paper introduces BankNet, a predictive analytics framework …
time decision making. This paper introduces BankNet, a predictive analytics framework …
Optimized Path Planning and Scheduling in Robotic Mobile Fulfillment Systems Using Ant Colony Optimization and Streamlit Visualization
IS Rasham - Wasit Journal of Computer and Mathematics …, 2024 - wjcm.uowasit.edu.iq
Context: In the age of rapid e-commerce growth; the Robotic Mobile Fulfillment Systems
(RMFS) have become the major trend in warehouse automation. These systems involve the …
(RMFS) have become the major trend in warehouse automation. These systems involve the …
Identification of Diseases caused by non-Synonymous Single Nucleotide Polymorphism using Machine Learning Algorithms
The production of vaccines for diseases depends entirely on its analysis. However, to test
every disease extensively is costly as it would involve the investigation of every known gene …
every disease extensively is costly as it would involve the investigation of every known gene …
Cloud-Based Transaction Fraud Detection: An In-depth Analysis of ML Algorithms
A Alhchaimi - Wasit Journal of Computer and Mathematics …, 2024 - wjcm.uowasit.edu.iq
Context: Cloud-based services are increasingly central in financial technology, enabling
scalable and efficient transactions. However, they also heighten vulnerability to fraud …
scalable and efficient transactions. However, they also heighten vulnerability to fraud …
The impact of artificial intelligence on risk management in the operational activities of financial institutions
M Savchenko - Development Management, 2024 - devma.com.ua
The purpose of the study was to determine the impact of artificial intelligence (AI) on the
quality of management decisions in the process of risk assessment and forecasting. For this …
quality of management decisions in the process of risk assessment and forecasting. For this …
[PDF][PDF] Analyzing Machine Learning Algorithms for Cloud-Based Transaction Fraud Detection
AAJ Alhchaimi - Wasit Journal of Computer and Mathematics Science, 2024 - iasj.net
Problem Statement: Cloud services as part of the financial technologies improve the
scalability and effectiveness of the services but at the same time expanding the risks of …
scalability and effectiveness of the services but at the same time expanding the risks of …