Results 21 to 30 of about 233,364 (265)
Distributed optimization method for multi-area integrated energy systems considering demand response
Frontiers in Energy Research, 2022 Modern urban integrated energy systems are usually large in scale and consist of several subsystems located in different areas with various types of users.
Xuetao Bai +9 more
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Optimal Distributed Covering Algorithms [PDF]
Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, 2019 AbstractWe present a time-optimal deterministic distributed algorithm for approximating a minimum weight vertex cover in hypergraphs of rank f. This problem is equivalent to the Minimum Weight Set Cover problem in which the frequency of every element is bounded by f. The approximation factor of our algorithm is $$(f+\varepsilon )$$
Ran Ben-Basat +3 more
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Simulation-Based Evolutionary Optimization of Air Traffic Management
IEEE Access, 2020 In the context of aerospace engineering, the optimization of processes may often require to solve multi-objective optimization problems, including mixed variables, multi-modal and non-differentiable quantities, possibly involving highly-expensive ...
Alessandro Pellegrini +8 more
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Distributed delayed stochastic optimization [PDF]
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012 We analyze the convergence of gradient-based optimization algorithms that base their updates on delayed stochastic gradient information. The main application of our results is to the development of gradient-based distributed optimization algorithms where a master node performs parameter updates while worker nodes compute stochastic gradients based on ...
Alekh Agarwal, John C. Duchi
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Mathematics, 2022 This study concentrates on a fixed-time distributed optimization problem for multi-agent systems (MASs) with input delay and external disturbances. First, by adopting the Artstein model reduction technique, the time-delay system is first transformed into
Xuening Xu, Zhiyong Yu, Haijun Jiang
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Cluster Partition-Based Zonal Voltage Control for Distribution Networks With High Penetrated PVs
Frontiers in Energy Research, 2022 With the high penetrated photovoltaics (PVs) accessing distribution networks (DNs) in the future, the overvoltage of distribution network will be more serious, and the voltage control will be more complex. To solve this problem, a cluster partition-based
Xingyu Zhao +4 more
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Machine learning and transfer learning techniques for accurate brain tumor classification
Clinical eHealthBrain tumors, resulting from uncontrolled and rapid cell growth, pose significant health risks if not treated early. Despite numerous advancements, accurate segmentation and classification remain challenging.
Seyed Matin Malakouti +2 more
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Distributed strongly convex optimization [PDF]
2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012 18 pages single column draftcls format, 1 figure, Submitted to Allerton ...
Konstantinos I. Tsianos +1 more
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ML: Early Breast Cancer Diagnosis
Current Problems in Cancer: Case ReportsBreast cancer is the most common malignancy among women worldwide, often characterized by the uncontrolled proliferation of breast cells, leading to the formation of lumps or tumors that can be detected through medical imaging such as X-rays ...
Seyed Matin Malakouti +2 more
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South African Journal of Chemical EngineeringThis study uses machine learning algorithms to predict energy consumption across the United States's critical sectors (commercial, residential, transportation, and industrial).
Seyed Matin Malakouti +2 more
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