Research on deep learning architecture optimization method for intelligent scheduling of structural space. [PDF]
Ying W, Hui L.
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Integrated energy scheduling for grid-connected microgrids using battery degradation-aware optimization and coordinated control strategies. [PDF]
Aziz A +6 more
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Kademlia hash snow ablation resource optimized stride scheduling for mobile computing services in healthcare sector. [PDF]
Sivakumar NR.
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A multi-objective optimization framework integrating ICSL deep learning for forecasting and scheduling emergency medical supply demand in public health emergencies. [PDF]
Pang Y +10 more
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Sensor Driven Resource Optimization Framework for Intelligent Fog Enabled IoHT Systems. [PDF]
Khan S +5 more
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Asymptotically Optimal Appointment Schedules
Mathematics of Operations Research, 2019We consider the problem of scheduling appointments for a finite customer population to a service facility with customer no-shows to minimize the sum of customer waiting time and server overtime costs. Because appointments need to be scheduled ahead of time, we refer to this problem as an optimization problem rather than a dynamic control one. We study
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Optimal Capacity Scheduling—I
Operations Research, 1962Efficient algorithms are developed optimizing an important class of capacity scheduling models. The specific problem considered can be simply described in terms of contracting for warehousing capacity. Contracts must be let for warehouse capacity over n time periods, with the minimum capacity to be provided in each time period being specified. Savings
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Optimizing Operating Room Scheduling
Anesthesiology Clinics, 2015This article reviews the management of an operating room (OR) schedule and use of the schedule to add value to an organization. We review the methodology of an OR block schedule, daily OR schedule management, and post anesthesia care unit patient flow.
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Optimal Fault-Secure Scheduling
The Computer Journal, 1998Summary: We consider here two basic fault-secure scheduling problems for multiprocessor systems. First, given the number of processors in the system and a set of computational tasks of unit length expressed as a complete binary tree, a scheduling algorithm is proposed such that the total execution time is a minimum and no undetected single error result
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