Results 61 to 70 of about 52,420 (263)
Zhejiang dianliExisting optimal scheduling methods cannot cover all unanticipated scenarios. To overcome this limitation， this paper proposes an optimal day-ahead scheduling method that considers extreme， unanticipated and dynamic-temporal scenarios.
SUN Junjie +5 more
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Group Elevator Peak Scheduling Based on Robust Optimization Model
Advances in Electrical and Computer Engineering, 2013 Scheduling of Elevator Group Control System (EGCS) is a typical combinatorial optimization problem. Uncertain group scheduling under peak traffic flows has become a research focus and difficulty recently.
ZHANG, J., ZONG, Q.
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Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
Complexity, 2017 To cope with the challenges due to increasing peak load, an optimal day-ahead scheduling problem for social welfare maximization is proposed, in which not only the comfort level of consumers and costs of power suppliers but also the power losses in ...
Xiong Hu, Zhi-Wei Liu
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Q-Learning Based Scheduling With Successive Interference Cancellation
IEEE Access, 2020 This work studies the problem of scheduling using Q-learning, which is a reinforcement learning algorithm, in a Successive Interference Cancellation (SIC) - enabled wireless ad hoc network. Distributed Q-learning algorithm tries to find the best schedule
Ezgi Mete, Tolga Girici
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
An optimal boundary fair scheduling [PDF]
Real-Time Systems, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Geoffrey Nelissen +5 more
openaire +4 more sources
Dianxin kexue, 2016 For the issues that the existing task scheduling scheme based on intelligent algorithms can’t obtain the optimal solution in cloud computing and inspired by nature symbiosis,a new task scheduling scheme based on improved particle swarm optimization(PSO ...
Linjie WANG
doaj +2 more sources
Applied Sciences, 2020 Building integrated photovoltaic (BIPV) is one of the most efficient ways to utilize renewable energy in buildings. However, the stochastic characteristic of PV power generation and load challenges the optimal dispatch of the BIPV. This paper proposes an
Zhiping Cheng +5 more
doaj +1 more source
FEBS Letters, EarlyView.CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
wiley +1 more source