Results 31 to 40 of about 1,020,088 (291)

Generalised cellular neural networks (GCNNs) constructed using particle swarm optimisation for spatio-temporal evolutionary pattern identification [PDF]

open access: yes, 2007
Particle swarm optimization (PSO) is introduced to implement a new constructive learning algorithm for training generalized cellular neural networks (GCNNs) for the identification of spatio-temporal evolutionary (STE) systems.
Billings, S.A., Wei, H.L.
core   +2 more sources

Automated design of low complexity FIR filters [PDF]

open access: yes, 1998
This paper considers the design of low complexity FIR filters. Complexity is reduced by constraining the filters to have integer coefficients, which can be efficiently implemented using primitive operator directed graphs (PODG).
Bull, DR, Redmill, DW
core   +2 more sources

Two-Stage Optimal Microgrid Operation with a Risk-Based Hybrid Demand Response Program Considering Uncertainty

open access: yesEnergies, 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
doaj   +1 more source

A hybrid physical-data approach for solving dynamic optimal power flow considering uncertainties and different topology configurations

open access: yesEnergy 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
doaj   +1 more source

Maximum Downside Semi Deviation Stochastic Programming for Portfolio Optimization Problem [PDF]

open access: yes, 2010
Portfolio optimization is an important research field in financial decision making. The chief character within optimization problems is the uncertainty of future returns. Probabilistic methods are used alongside optimization techniques.
Ibrahim, Khlipah   +1 more
core   +2 more sources

Elastic net prefiltering for two class classification [PDF]

open access: yes, 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
core   +1 more source

LiveCap: Real-time Human Performance Capture from Monocular Video

open access: yes, 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
core   +1 more source

A two-stage polynomial approach to stochastic optimization of district heating networks [PDF]

open access: yesSustainable Energy, Grids and Networks, 2019
33 pages, 11 ...
Marc Hohmann   +2 more
openaire   +2 more sources

Optimal design for the connector of bridge prefabricated concrete barriers

open access: yesScience Progress, 2021
The current optimization research on the connectors of prefabricated barriers uses experimental comparisons only and lacks theoretically based optimization methods as guidance.
Xiaolin Yu   +5 more
doaj   +1 more source

A unified framework for solving a general class of conditional and robust set-membership estimation problems

open access: yes, 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
core   +1 more source

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