Results 61 to 70 of about 9,461 (262)
IEEE AccessThe importance of a comprehensive assessment of swimmers’ specific abilities lies in offering both athletes and coaches a scientific and all-encompassing evaluation framework.
Biwei Xu, Lipeng Luo
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Mathematics, 2019 In this paper, we design the EDAS (evaluation based on distance from average solution) model with picture 2-tuple linguistic numbers (P2TLNs). First, we briefly reviewed the definition of P2TLSs and introduced the score function, accuracy function, and ...
Siqi Zhang +4 more
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Edge Detection by Adaptive Splitting II. The Three-Dimensional Case [PDF]
, 2012 In Llanas and Lantarón, J. Sci. Comput. 46, 485–518 (2011) we proposed an algorithm (EDAS-d) to approximate the jump discontinuity set of functions defined on subsets of ℝ d .
A. Bliss +41 more
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Reaction Mechanism, Challenges, and Strategies of High‐Energy‐Density Sodium‐Ion Batteries
Advanced Science, EarlyView.Focusing on high‐energy‐density sodium‐ion batteries, this review highlights the advantages offered by conversion‐type cathode materials. The currently studied cathode materials are systematically introduced. By analyzing sulfur, oxygen, and transition metal halides and other conversion‐type cathodes, the key challenges associated with these cathodes ...
Dan Yu +8 more
wiley +1 more source
Achieving Chemical Accuracy in Cyclodextrin Host–Guest Binding via Integrative Atomistic Modelling
Advanced Science, EarlyView.A generalizable computational framework is presented that overcomes long‐standing challenges in modelling cyclodextrin host‐guest binding by integrating host‐specific force‐field refinement, equilibrium enhanced sampling, nonequilibrium alchemical switching, convolution sampling of independent works, rigorous finite‐size corrections, and QM‐based ...
Xiaohui Wang +7 more
wiley +1 more source
Hybrid BW-EDAS MCDM methodology for optimal industrial robot selection.
PLoS ONE, 2021 Industrial robots have different capabilities and specifications according to the required applications. It is becoming difficult to select a suitable robot for specific applications and requirements due to the availability of several types with ...
Tabasam Rashid, Asif Ali, Yu-Ming Chu
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A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization
, 2020 We show that a large class of Estimation of Distribution Algorithms, including, but not limited to, Covariance Matrix Adaption, can be written as a Monte Carlo Expectation-Maximization algorithm, and as exact EM in the limit of infinite samples.
Brookes, David H. +4 more
core
Generalized decomposition and cross entropy methods for many-objective optimization [PDF]
, 2012 Decomposition-based algorithms for multi-objective optimization problems have increased in popularity in the past decade. Although their convergence to the Pareto optimal front (PF) is in several instances superior to that of Pareto-based algorithms ...
Fleming, P.J. +2 more
core
A review on probabilistic graphical models in evolutionary computation [PDF]
, 2012 Thanks to their inherent properties, probabilistic graphical models are one of the prime candidates for machine learning and decision making tasks especially in uncertain domains.
A. Brownlee +112 more
core +2 more sources
Advanced Science, EarlyView.An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang +7 more
wiley +1 more source