Author

A. Deodhar

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#artificial intelligence Preprint Oct 2026

Money-Mule Detection as a Relational Learning Problem: A Study on the RBIH NFPC Dataset

Money-mule networks move criminal funds through many small transfers, each of which looks ordinary on its own. What marks an account as a mule lies outside any single transfer: in the counterparties and addresses its network shares, and in the shape of its activity over time. Production systems remain largely rule-base...

Owais Ahmad, Anirudh Deodhar · 0 citations

#artificial intelligence Preprint Aug 2026

From Metaheuristics to Exact Methods: A CP-SAT Approach for Multi-Objective Healthcare Workforce Scheduling

CP-SAT enforces 14 hard constraints guaranteeing zero regulatory violations, while optimizing 15 soft objectives via a unified weighted penalty function, and enforces 29 total constraints, nearly three times the industry average.

Vipul Patel, A. Deodhar, Dagnachew Birru · 0 citations