Navigating the Complexity of Money Laundering: Anti–money Laundering Advancements with AI/ML Insights
Authors
Hitarth Gandhi
Artificial Intelligence and Machine Learning Department, Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune, India
Kevin Tandon
Artificial Intelligence and Machine Learning Department, Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune, India
Shilpa Gite
Artificial Intelligence and Machine Learning Department, Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune, India
Symbiosis Centre of Applied AI (SCAAI), Symbiosis International (Deemed) University, Pune, India
Biswajeet Pradhan
Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, Faculty of Engineering and IT, University of Technology Sydney, Australia
Abdullah Alamri
Department of Geology and Geophysics, College of Science, King Saud University, Riyadh, Saudi Arabia
DOI: https://doi.org/10.2478/ijssis-2024-0024 | Journal eISSN: 1178-5608
Language: English
Submitted on: Apr 4, 2024
Published on: Aug 6, 2024
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2024 Hitarth Gandhi, Kevin Tandon, Shilpa Gite, Biswajeet Pradhan, Abdullah Alamri, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.