Results 1 to 10 of about 10,118 (81)

Importance sampling for stochastic quantum simulations [PDF]

open access: yesQuantum, 2023
Simulating many-body quantum systems is a promising task for quantum computers. However, the depth of most algorithms, such as product formulas, scales with the number of terms in the Hamiltonian, and can therefore be challenging to implement on near ...
Oriel Kiss   +2 more
doaj   +1 more source

On the Cooperation Between Evolutionary Algorithms and Constraint Handling Techniques: A Further Empirical Study

open access: yesIEEE Access, 2020
Cooperation between Evolutionary Algorithms (EAs) and Constraint Handling Techniques (CHTs) plays an important role in Constrained Optimization Evolutionary Algorithms (COEAs). A constrained composite differential evolution (C2oDE) sets a good example on
Hui Cai, Bin Liu, Shu Pan
doaj   +1 more source

Stochastic DEMATEL for structural modeling of a complex problematique for realizing safe, secure and reliable society

open access: yesJournal of Telecommunications and Information Technology, 2005
In this paper we propose a revised Decision Making Trial and Evaluation Laboratory (DEMATEL), called stochastic DEMATEL, to extract structural model of a complex problematique and to represent the priority of each factor taking into account the ...
Hiroyuki Tamura, Katsuhiro Akazawa
doaj   +1 more source

Decision support for extracting and dissolving consumers’ uneasiness over foods using stochastic DEMATEL

open access: yesJournal of Telecommunications and Information Technology, 2006
In this paper we try to extract consumers’ uneasy factors on foods such as carcinogenic substance, bovine spongiform encephalopathy (BSE) problem, genetic recombination, etc., and try to construct structural models among these uneasy factors using ...
Hiroyuki Tamura   +2 more
doaj   +1 more source

Stress concentration in nonlinear viscoelastic composites

open access: yesMechanics and Advanced Technologies, 2017
A nonlinear viscoelastic problem of the mechanics of composites is solved within the framework of a second-order nonlinear theory. A viscoelastic functional is used to construct general defining relations.
B. Maslov
doaj   +1 more source

Future volcanic eruptions may delay the recovery of lower stratospheric ozone over Antarctica and Southern Hemisphere mid-latitudes [PDF]

open access: yesAtmospheric Chemistry and Physics
Sporadic explosive volcanic eruptions can inject large amounts of sulfur into the stratosphere, which forms volcanic sulfate aerosols with the potential to affect stratospheric ozone chemistry.
M. M. Chim   +9 more
doaj   +1 more source

A Multi-Attribute Expansion Planning Model for Integrated Gas–Electricity System

open access: yesEnergies, 2018
Gas-fired power plants are environmentally friendly because of their high efficiency rates and low CO2 emissions. On the other hand, the output power of renewable generators is stochastic, meaning that additional capacity must be held in reserve ...
Vahid Khaligh   +3 more
doaj   +1 more source

A sensitivity analysis of composite indicators: Min/max thresholds

open access: yesEnvironmental and Sustainability Indicators
The aim of composite indicators is to express the overall performance of countries/regions with respect to a complex goal including sustainability, competitiveness, and innovation.
Adél Kelemen   +4 more
doaj   +1 more source

Using phylogeny and functional traits for assessing community assembly of alpine shrubs along environmental gradients in Three-River-Source Nature Reserve, China

open access: yesFrontiers in Ecology and Evolution
IntroductionThe increasing impacts of climate change and anthropogenic activities on ecological communities pose substantial challenges to alpine ecosystems.
Min Li   +7 more
doaj   +1 more source

IEI Subphenotype Recognition Using Unsupervised Machine Learning on a National IEI Cohort with Clinical Validation

open access: yesJournal of Human Immunity
Inborn errors of immunity (IEI) are increasing in number, and prompt recognition and diagnosis remain a challenge for clinicians. Use of machine learning (ML) for clinical pattern recognition is promising but has been limited to date.
Alexandra Martinson   +4 more
doaj   +1 more source

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