Smart scheduling of arthroplasty surgery with machine learning and optimisation improves operating room utilisation. [PDF]
Lex JR +5 more
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Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian +7 more
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Artificial intelligence CNN for information system optimization and decision support model. [PDF]
Yang X, Liu Y, Zhang L, Tian Y.
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A New Framework for Job Shop Integrated Scheduling and Vehicle Path Planning Problem. [PDF]
Li R, Mao J, Wu X, Zhou W, Qian C, Du H.
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Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing. [PDF]
Zhang W, Ou H.
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Rate-Splitting-Based Resource Allocation in FANETs: Joint Optimization of Beam Direction, Node Pairing, Power and Time Slot. [PDF]
Zhao F, Song C, Li X, Liu Y, Liang Y.
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Energy-conscious scheduling in edge environments: hybridization of traditional control and DE algorithm. [PDF]
Ma K, Xu L.
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Artificial intelligence in outpatient management: a simulation-based study in a Chinese tertiary hospital. [PDF]
Quan X, Wang K, Pan J, Fang Z.
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Interprocess interactions in concurrent programs serve two major functions: conditional exclusion and scheduling. This article presents high-level techniques for specification of scheduling policies, and for proving the starvation-free property of scheduling policies after they are formally specified.
Chyuan Samuel Hsieh, Elizabeth A. Unger
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Resource-Constrained Assignment Scheduling
Operations Research, 1986Many resource-constrained assignment scheduling problems can be modeled as 0-1 assignment problems with side constraints (APSC). Unlike the well-known assignment problem of linear programming, APSC is NP-complete. In this paper we define a branch-and-bound algorithm for solving APSC to optimality.
Mazzola, Joseph B., Neebe, Alan W.
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