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Hooman Torkaman

1 paper indexed

arxiveess.SYcs.LG2026-06-28

An Integrated Two-Stage Deep-Learning Tool for Rapid Post-Hurricane Damage Identification and Repair Scheduling

Hooman Torkaman, Ellis Oti Boateng, Jignesh Solanki, Anurag Srivastava

Post-hurricane damage assessment and repair scheduling can require computationally intensive simulation and optimization. This paper presents an integrated two-stage deep-learning tool for rapid damaged-line identification and repair-schedule computation. An available offline syn…

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