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Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.12.166
Abstract: Abstract Air Traffic Control (ATC) workload is a limiting factor for air traffic growth, creating a need for objective ATC workload metrics. Previous research has shown that the solution space diagram can be a basis…
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Keywords:
solution space;
space;
atc workload;
space based ... See more keywords
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Published in 2017 at "Physics of Plasmas"
DOI: 10.1063/1.4983328
Abstract: This paper presents a new relativistic solution for the space-charge-limited current for coaxial vacuum diodes. The solution is deduced using a methodology that combines exact partial solutions and numerical fitting. The expression obtained presents a…
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Keywords:
current coaxial;
space charge;
charge limited;
solution ... See more keywords
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Published in 2024 at "Physics of Fluids"
DOI: 10.1063/5.0185483
Abstract: Exact magnetohydrodynamic (MHD) Riemann solutions are the basis of constructing numerical schemes and benchmarks for verifying the schemes. However, non-strict hyperbolicity and nonconvexity of MHD equations contribute to the appearance of intermediate shocks, causing low…
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Keywords:
intermediate shocks;
solution space;
riemann solutions;
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1
Published in 2018 at "Classical and Quantum Gravity"
DOI: 10.1088/1361-6382/aac847
Abstract: We consider the 4+1 Einstein's field equations (EFE's) in vacuum, simplified by the assumption that there is a four-dimensional sub-manifold on which an isometry group of dimension four acts simply transitive. In particular we consider…
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Keywords:
space;
group;
field equations;
type ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3234104
Abstract: As an increasing number of robotic manipulators possess seven or more degrees-of-freedom (DoF), solving inverse kinematic (IK) for kinematically redundant manipulators is becoming critical. Numerical optimizations are commonly used to solve the problem due to…
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Keywords:
joint solution;
kinematics;
solution space;
deep learning ... See more keywords
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Published in 2018 at "IEEE Journal on Multiscale and Multiphysics Computational Techniques"
DOI: 10.1109/jmmct.2018.2870599
Abstract: A fast finite element method (FEM) is proposed for electromagnetic computation of recently developed hyperuniform disordered materials having multiscale geometry features. The main idea of our fast FEM is to construct a small dimensional local…
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Keywords:
finite element;
geometry;
multiscale subdomain;
solution space ... See more keywords
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Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2024.3446758
Abstract: Exploring the solution space of indirect methods can provide initial guesses and evaluate the solutions with arbitrary design parameters. In this article, the solution space of the minimum-time low-thrust rephasing in an elliptical orbit is…
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Keywords:
solution space;
space minimum;
elliptical orbit;
space ... See more keywords
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Published in 2021 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.2990100
Abstract: Many studies take sampling to apply fuzzy C-means (FCM) to very large data sets. However, comparing with the plenty algorithms for sampling-based FCM, few research works theoretically study the generalization error. In this article, we…
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Keywords:
generalization;
generalization error;
sampling based;
solution space ... See more keywords
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Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2024.3455257
Abstract: Policy diversity, encompassing the variety of policies an agent can adopt, enhances reinforcement learning (RL) success by fostering more robust, adaptable, and innovative problem-solving in the environment. The environment in which standard RL operates is…
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Keywords:
expand solution;
solution;
policy;
dispersion ... See more keywords
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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14135371
Abstract: As engineering systems become increasingly complex, performance requirements rise, and tolerance for design parameter variations becomes more crucial due to increased uncertainty. Tolerance to parameter variation can be measured by the volume of the solution…
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Keywords:
robustness;
solution;
performance;
solution space ... See more keywords
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Published in 2022 at "Metabolites"
DOI: 10.3390/metabo12010043
Abstract: Genome-scale metabolic models are frequently used in computational biology. They offer an integrative view on the metabolic network of an organism without the need to know kinetic information in detail. However, the huge solution space…
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Keywords:
solution space;
genome scale;
solution;
scale metabolic ... See more keywords