Results 1 to 10 of about 807 (71)
Evaluating performance of image segmentation criteria and techniques
EURO Journal on Computational Optimization, 2013 The image segmentation problem is to delineate, or segment, a salient feature in an image. As such, this is a bipartition problem with the goal of separating the foreground from the background. An NP-hard optimization problem, the Normalized Cut problem,
DoritS. Hochbaum +2 more
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Branch-and-price-and-cut for large-scale multicommodity capacitated fixed-charge network design
EURO Journal on Computational Optimization, 2014 We present a branch-and-price-and-cut algorithm for solving large-scale instances of the multicommodity capacitated fixed-charge network design problem.
Bernard Gendron, Mathieu Larose
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EURO Journal on Computational Optimization, 2016 This paper addresses two variants of the routing and wavelength assignment problem arising in the context of optical transport networks. In both variants, we address the case where the physical coverage of the fiber network is such that regenerators, to ...
Amaro de Sousa +2 more
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Road network emergency accessibility planning after a major earthquake
EURO Journal on Computational Optimization, 2016 In the aftermath of disasters such as major earthquakes, several roads may be blocked by rubble and the population tends to search refugee in certain gathering points of the city.
CelsoSatoshi Sakuraba +5 more
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Estimation of the efficiency of Japanese hospitals using a dynamic and network data envelopment analysis model. [PDF]
Health Care Manag Sci, 2014 Kawaguchi H, Tone K, Tsutsui M.
europepmc +1 more source
Deterministic, quenched, and annealed parameter estimation for heterogeneous network models. [PDF]
Physical Review E, 2023 At least two different approaches to define and solve statistical models for the analysis of economic systems exist: the typical, econometric one, interpreting the gravity model specification as the expected link weight of an arbitrary probability ...
M. Di Vece +2 more
semanticscholar +1 more source
Analysis, Prediction, and Control of Epidemics: A Survey from Scalar to Dynamic Network Models [PDF]
IEEE Circuits and Systems Magazine, 2021 During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have emerged as powerful tools to produce valuable predictions of the evolution of the pandemic, helping public health authorities decide which intervention policies should ...
Lorenzo Zino, M. Cao
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Sustainability, 2022 The paper firstly proposes a deterministic deep feedforward neural network model aimed at predicting the city bus velocity profile over receding time horizon based on the following inputs: actual vehicle position, actual velocity or short-term history of
Jakov Topić, B. Škugor, J. Deur
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Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints [PDF]
Applied Energy, 2021 In this paper, we investigate an energy cost minimization problem for prosumers participating in peer-to-peer energy trading. Due to (i) uncertainties caused by renewable energy generation and consumption, (ii) difficulties in developing an accurate and ...
Cephas Samende, Jun Cao, Zhongbo Fan
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IEEE Transactions on Antennas and Propagation, 2022 Billions of mobile terminals will be deployed in various Internet of Things (IoT), in which millimeter-wave (mmWave) technology will be gradually applied.
Xiongwen Zhao +8 more
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