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Volume: 11 Issue 03 March 2025
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Artificial Intelligence In Crew Scheduling: Revolutionizing Predictions And Automation
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Author(s):
Geetika kapil
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Keywords:
Crew Scheduling, Artificial Intelligence (AI), Machine Learning (ML), Predictive Analytics, Optimization Algorithms, Dynamic Re-Scheduling, Operational Efficiency.
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Abstract:
The Integration Of Artificial Intelligence (AI) Into Crew Scheduling Represents A Paradigm Shift In The Transportation And Logistics Sectors. By Automating Complex Decision-making Processes And Delivering Real-time Insights, AI Is Transforming How Organiz
Other Details
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Paper id:
IJSARTV11I3102836
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Published in:
Volume: 11 Issue: 3 March 2025
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Publication Date:
2025-03-19
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