Results 31 to 40 of about 1,005,829 (270)
Elastic net prefiltering for two class classification [PDF]
, 2012 A two-stage linear-in-the-parameter model construction algorithm is proposed aimed at noisy two-class classification problems. The purpose of the first stage is to produce a prefiltered signal that is used as the desired output for the second stage which
Chen, Sheng, Harris, Chris J., Hong, Xia
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Energy Reports, 2023 The security and economy of power system operation or planning are threatened by various uncertain factors, including the unpredictability of renewable energy, the variation of topology configurations, and significant load fluctuation.
Liqin Zheng +3 more
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Energies, 2020 Owing to the increasing utilization of renewable energy resources, distributed energy resources (DERs) become inevitably uncertain, and microgrid operators have difficulty in operating the power systems because of this uncertainty.
Ho-Sung Ryu, Mun-Kyeom Kim
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LiveCap: Real-time Human Performance Capture from Monocular Video
, 2019 We present the first real-time human performance capture approach that reconstructs dense, space-time coherent deforming geometry of entire humans in general everyday clothing from just a single RGB video.
Habermann, Marc +4 more
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A two-stage polynomial approach to stochastic optimization of district heating networks [PDF]
Sustainable Energy, Grids and Networks, 2019 33 pages, 11 ...
Marc Hohmann +2 more
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Applied Sciences, 2023 This paper presents a novel approach to solve the multi-objective optimization problem designing a two-stage helical gearbox by applying the Taguchi method and the grey relation analysis (GRA).
Xuan-Hung Le, Ngoc-Pi Vu
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Decomposition approaches for two-stage robust binary optimization
, 2019 In this talk, we study a class of two-stage robust binary optimization problems with polyhedral uncertainty set where recourse decisions are restricted to be mixed-binary and uncertainty is present only in the objective function. We present a deterministic equivalent formulation for these problems through convexification of the recourse feasible region.
Arslan, Ayşe, Detienne, Boris
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Large-Scale Convex Optimization for Dense Wireless Cooperative Networks
, 2015 Convex optimization is a powerful tool for resource allocation and signal processing in wireless networks. As the network density is expected to drastically increase in order to accommodate the exponentially growing mobile data traffic, performance ...
Letaief, Khaled B. +3 more
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Iterative Method to Derive the Equivalent Centrifugal Compressor Performance at Various Operating Conditions: Part I: Modelling of Suction Parameters Impact [PDF]
, 2015 This paper introduces a new iterative method to predict the equivalent centrifugal compressor performance at various operating conditions. The presented theoretical analysis and empirical correlations provide a novel approach to derive the entire ...
Albusaidi, Waleed, Pilidis, Pericles
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, 2014 In this paper we present a unified framework for solving a general class of problems arising in the context of set-membership estimation/identification theory.
Cerone, Vito +3 more
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