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Navigating the Complexity of Money Laundering: Anti–money Laundering Advancements with AI/ML Insights Cover

Navigating the Complexity of Money Laundering: Anti–money Laundering Advancements with AI/ML Insights

Open Access
|Aug 2024

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

shilpa.gite@sitpune.edu.in

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

biswajeet.pradhan@uts.edu.au

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
Language: English
Submitted on: Apr 4, 2024
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Published on: Aug 6, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Hitarth Gandhi, Kevin Tandon, Shilpa Gite, Biswajeet Pradhan, Abdullah Alamri, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.