Abstract: Machine learning has demonstrated remarkable effectiveness in solving scheduling problems through end-to-end optimization. However, dynamic events introduce uncertainty and pose significant ...
The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...
Abstract: In resource-constrained emergency networks, task scheduling algorithms play a crucial role in allocating computational tasks and managing data transmission. Currently, centralized scheduling ...
A new technical paper titled “Architecting Long-Context LLM Acceleration with Packing-Prefetch Scheduler and Ultra-Large Capacity On-Chip Memories” was published by researchers at Georgia Institute of ...
Financial crime risk is not static. A customer’s risk profile can shift rapidly with new transactions, behaviors, or data. Yet historically, many financial institutions relied on one-time or ...
1 Department of Gynaecology, The People’s Hospital of Liaoning Province, Shenyang, China 2 Department of Gynaecology, Laoning Cancer Hospital and Institute, Shenyang, China Introduction: Personalized ...
As the grid-connected capacity of distributed photovoltaic (PV), energy storage, electric vehicle (EV), and other devices gradually increases, new source-load equipment becomes an important demand ...
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