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Thermal modeling and uncertainty quantification of tool for automated garment assembly
In this work, a thermal Finite Element model is developed to simulate the performance of a blade-like tool for robotic work cells performing...
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Modeling the leader–follower supply chain network under uncertainty and solving by the HGALO algorithm
The purpose of this article is to develop a competitive supply chain network (SCN) in the face of uncertainty. The objective of the leader chain is...
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Assessing decision boundaries under uncertainty
In order to make design decisions, engineers may seek to identify regions of the design domain that are acceptable in a computationally efficient...
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Case Study of Flood Profile Hydraulic Modeling Uncertainty
Estimating flood profiles using hydrological inputs and hydraulic modelling is a central component of floodplain map** studies. Flood profile...
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Quantifying Uncertainty in Hydrological Drought Index Using Calibrated SWAT Model
The hydrological model requires precise parameter calibration to reflect the basin characteristicsproperly. The optimum parameter values depend...
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Multimodal transportation routing optimization based on multi-objective Q-learning under time uncertainty
Multimodal transportation is a modern way of cargo transportation. With the increasing demand for cargo transportation, higher requirements are being...
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R-number Cognitive Map Method for Modeling Problems in Uncertainty and Risky Environment
In qualitative, non-numerical models, there are numerous challenges raised by the ambiguity, uncertainty, and risk within variables. The root of this...
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Overview of Lean Production Under Uncertainty
This article presents a literature review on the application of lean manufacturingLean manufacturing (LM) techniques under a context of...
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Uncertainty Assessment of Surface Water Salinity Using Standalone, Ensemble, and Deep Machine Learning Methods: A Case Study of Lake Urmia
Due to the inherent uncertainty in surface water quality modeling, point predictions of water quality parameters such as total dissolved solids (TDS)...
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A Novel Probabilistic Structural Damage Detection Approach Considering Uncertainty Sources
Numerous uncertainty sources can influence the intrinsic characteristics of the structures. Among these, the seismic noises and ambient vibrations...
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Bayesian Approach to Uncertainty Visualization of Heterogeneous Behaviors in Modeling Networked Anagram Games
Heterogeneous player behaviors are commonly observed in games. It is important to quantify and visualize these heterogeneities in order to understand...
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A multi-stage interval optimization approach for operation of the smart multi-carries energy system considering energy prices uncertainty
This study presents a approach to optimize the operation of the smart multi-carrier energy system (SMCES) in residential consumers taking into...
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Adaptive robust constraint-following control for electromechanically driven vector deflection system emphasis on time-varying uncertainty and input limit
Electrification is the development trend of future aircraft, by which exploration on effective control strategy for electromechanical actuator (EMA)...
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Optimized Selection Method of Air Combat Course of Action under Stochastic Uncertainty
Aiming at the design problem of aviation swarm combat course of action (COA), considering the influence of stochastic parameters in the causal...
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Versatile Uncertainty Quantification of Contrastive Behaviors for Modeling Networked Anagram Games
In a networked anagram game, each team member is given a set of letters and members collectively form as many words as possible. They can share...
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A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize...
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Optimizing traveling salesman problem using tabu search metaheuristic algorithm with Pythagorean fuzzy uncertainty
The traveling salesman problem is a well-known combinatorial optimization problem. Solving the traveling salesman problem efficiently becomes more...
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Probabilistic Modeling of the Round Mountain Gold Deposit: a Case Study
This paper documents a probabilistic resource modeling workflow for the Round Mountain epithermal gold deposit. The set of categorical and continuous...
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CFD Uncertainty Quantification using PCE–HDMR: Exemplary Application to a Buoyancy-Driven Mixing Process
For the investigation of uncertainties in high dimensional spaces of computationally expensive engineering applications, reliable Uncertainty...
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Feature-Based Uncertainty Quantification
This chapter demonstrates how the response feature approach can be incorporated into uncertainty quantification procedures, especially for estimation...