Results 11 to 20 of about 5,787,644 (326)
Maximal Adaptive-Decision Speedups in Quantum-State Readout
Physical Review X, 2016 The average time T required for high-fidelity readout of quantum states can be significantly reduced via a real-time adaptive decision rule. An adaptive decision rule stops the readout as soon as a desired level of confidence has been achieved, as ...
B. D’Anjou +3 more
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Generalized Adaptive Fuzzy Rule Interpolation [PDF]
IEEE Transactions on Fuzzy Systems, 2017 As a substantial extension to fuzzy rule interpolation that works based on two neighbouring rules flanking an observation, adaptive fuzzy rule interpolation is able to restore system consistency when contradictory results are reached during interpolation. The approach first identifies the exhaustive sets of candidates, with each candidate consisting of
Longzhi Yang, Fei Chao, Qiang Shen
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Inversion of the Laplace Transform from the Real Axis Using an Adaptive Iterative Method [PDF]
International Journal of Mathematics and Mathematical Sciences, 2009 A new method for inverting the Laplace transform from the real axis is formulated. This method is based on a quadrature formula. We assume that the unknown function 𝑓(𝑡) is continuous with (known) compact support.
Sapto W. Indratno, Alexander G. Ramm
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Electronic Management Technology and Application of Structured Intelligent Stability Limit
Shanghai Jiaotong Daxue xuebao, 2021 This paper proposes an intelligent stability quota management technology based on structured rule strategy library, designs a set of automatic identification of section rules and adaptive adjustment methods of quota based on structured rule library, and ...
WU Xin, SUN Hui, WANG Jin
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An Adaptive STDP Learning Rule for Neuromorphic Systems
Frontiers in Neuroscience, 2021 The promise of neuromorphic computing to develop ultra-low-power intelligent devices lies in its ability to localize information processing and memory storage in synaptic circuits much like the synapses in the brain. Spiking neural networks modeled using
Ashish Gautam, Takashi Kohno
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Minimum threshold determination method based on dataset characteristics in association rule mining
Journal of Big Data, 2021 Association rule mining is a technique that is widely used in data mining. This technique is used to identify interesting relationships between sets of items in a dataset and predict associative behavior for new data.
Erna Hikmawati +2 more
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Attuning Adaptation Rules via a Rule-Specific Neural Network
, 2022 There have been a number of approaches to employing neural networks (NNs) in self-adaptive systems; in many cases, generic NNs/deep learning are utilized for this purpose. When this approach is to be applied to improve an adaptation process initially driven by logical adaptation rules, the problem is that (1) these rules represent a significant and ...
Bureš, Tomáš +8 more
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IEEE Access, 2020 This research designed an energy management system involving a battery-supercapacitor Hybrid Energy Storage System (HESS) for electric vehicles (EV). The objective is to improve the performance of the HESS by combining battery and supercapacitor features,
Taha Sadeq +4 more
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Global Stability Analysis of Mechanical Prosthetic Finger Adaptive Control [PDF]
Revista Română de Informatică și Automatică, 2022 This technical note presents a discussion on the dynamic modeling and analysis of the adaptive controller of a Mechanical Prosthetic finger with constraints mass (m) of the mechanical finger and constant friction (K1) with variation in spring constraint (
Pritam CHAKRABORTY +3 more
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A New Cost Function for Spatial Image Steganography Based on 2D-SSA and WMF
IEEE Access, 2021 As an essential tool for secure communications, adaptive steganography aims to communicate secret information with the least security cost. Inspired by the Ranking Priority Profile (RPP), we propose a novel two-step cost function for adaptive ...
Guoliang Xie +4 more
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