Results 1 to 10 of about 5,846,827 (312)
Hybrid Solar Forecasting Method Based on Empirical Mode Decomposition and Back Propagation Neural Network [PDF]
E3S Web of Conferences, 2021 In order to improve the accuracy of solar radiation prediction and optimize the energy management system. This study proposes a forecasting model based on empirical mode decomposition (EMD) and Back Propagation Neural Network (BPNN).
Aghmadi Ahmed +4 more
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Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous Areas [PDF]
E3S Web of Conferences, 2021 Water and electricity supply for irrigation is difficult in remote mountainous areas. This paper explores agricultural irrigation systems’ integration mechanism, pumped storage power plants, and renewable power sources in mountainous areas to solve this ...
Zhang Yangyang +4 more
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On BMRN*-colouring of planar digraphs [PDF]
Discrete Mathematics & Theoretical Computer Science, 2021 In a recent work, Bensmail, Blanc, Cohen, Havet and Rocha, motivated by applications for TDMA scheduling problems, have introduced the notion of BMRN*-colouring of digraphs, which is a type of arc-colouring with particular colouring constraints.
Julien Bensmail, Foivos Fioravantes
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Scientific Reports, 2023 We present a comprehensive case study comparing the performance of D-Waves’ quantum-classical hybrid framework, Fujitsu’s quantum-inspired digital annealer, and Gurobi’s state-of-the-art classical solver in solving a transport robot scheduling problem ...
Dominik Leib +7 more
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Almost simplicial polytopes: the lower and upper bound theorems [PDF]
Discrete Mathematics & Theoretical Computer Science, 2020 this is an extended abstract of the full version. We study n-vertex d-dimensional polytopes with at most one nonsimplex facet with, say, d + s vertices, called almost simplicial polytopes.
Eran Nevo +3 more
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On interval number in cycle convexity [PDF]
Discrete Mathematics & Theoretical Computer Science, 2018 Recently, Araujo et al. [Manuscript in preparation, 2017] introduced the notion of Cycle Convexity of graphs. In their seminal work, they studied the graph convexity parameter called hull number for this new graph convexity they proposed, and they ...
Julio Araujo +3 more
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A two-stage multiobjective evolutionary ensemble learning for silicon prediction in blast furnace
Complex & Intelligent Systems, 2023 Silicon content of molten iron is an important indicator in the blast furnace ironmaking process. Accurate prediction of silicon content is very important for monitoring the operating condition of the blast furnace and the quality of the molten iron ...
Qiang Li +3 more
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Optimising the laser-welded butt-joints of medium carbon steel using RSM [PDF]
, 2005 The optimization capabilities in design-expert software were used to optimise the keyhole parameters (i.e. maximize penetration (P) and minimise the heat input, width of welded zone, (W) and width of heat affected zone (WHAZ)) in CW CO2 laser butt ...
Benyounis, Khaled +2 more
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Metrology and Measurement Systems, 2016 A simulation-based optimization approach to design of phase excitation tapers for linear phased antenna arrays is presented. The design optimization process is accelerated by means of Surrogate-Based Optimization (SBO); it uses a coarse-mesh surrogate of
Kozieł Sławomir +2 more
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High-efficacy global optimization of antenna structures by means of simplex-based predictors
Scientific Reports, 2023 Design of modern antenna systems has become highly dependent on computational tools, especially full-wave electromagnetic (EM) simulation models. EM analysis is capable of yielding accurate representation of antenna characteristics at the expense of ...
Slawomir Koziel +1 more
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