Articles with "cross entropy" as a keyword



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Hesitant intuitionistic fuzzy entropy/cross-entropy and their applications

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Published in 2018 at "Soft Computing"

DOI: 10.1007/s00500-017-2753-x

Abstract: In this paper, we introduce a new concept of hesitant intuitionistic fuzzy set (HIFS), which refines the dual hesitant fuzzy set and could be viewed as a more flexible tool to describe the uncertain information… read more here.

Keywords: intuitionistic fuzzy; fuzzy entropy; entropy; hesitant intuitionistic ... See more keywords
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Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy

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Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3933-z

Abstract: Separating a singing voice from its music accompaniment remains an important challenge in the field of music information retrieval. We present a unique neural network approach inspired by a technique that has revolutionized the field… read more here.

Keywords: network; voice; voice separation; singing voice ... See more keywords
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Online updating of active function cross-entropy clustering

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Published in 2018 at "Pattern Analysis and Applications"

DOI: 10.1007/s10044-018-0701-8

Abstract: AbstractGaussian mixture models have many applications in density estimation and data clustering. However, the model does not adapt well to curved and strongly nonlinear data, since many Gaussian components are typically needed to appropriately fit… read more here.

Keywords: active function; function cross; entropy clustering; function ... See more keywords
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Spatial context cross entropy function based multilevel image segmentation using multi-verse optimizer

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Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-7506-7

Abstract: In this paper, a context-sensitive energy curve based cross-entropy method for multilevel color image segmentation is proposed. In thresholding approaches, pixels are arranged in various regions based on their intensity level. The main challenge generally… read more here.

Keywords: cross; multi verse; image segmentation; cross entropy ... See more keywords
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Fault diagnosis of rolling element bearing based on symmetric cross entropy of neutrosophic sets

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Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2019.107318

Abstract: Abstract A novel symmetric single-valued neutrosophic cross entropy (SVNCE) measure based upon a newly developed symmetric measure of fuzzy cross entropy is established and then applied it for identifying defects of bearings installed in a… read more here.

Keywords: fault; svnce; cross; neutrosophic sets ... See more keywords
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Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function

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Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.05.011

Abstract: Abstract Retinal vessel analysis of fundus images is an indispensable method for the screening and diagnosis of related diseases. In this paper, we propose a novel retinal vessel segmentation method of the fundus images based… read more here.

Keywords: fundus images; retinal vessel; segmentation; entropy loss ... See more keywords
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Reliability and sensitivity analysis of more‐electric aircraft based on cross‐entropy

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Published in 2020 at "Electronics Letters"

DOI: 10.1049/el.2019.4259

Abstract: The traditional Monte Carlo sampling method has several deficiencies in evaluating the reliability of more-electric aircraft (MEA), such as more sampling times and longer simulation time, due to the complex topology and low probability of… read more here.

Keywords: aircraft; mea; sensitivity; reliability ... See more keywords
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An Enhanced Markov Chain Monte Carlo-Integrated Cross-Entropy Method with a Partially Collapsed Gibbs Sampler for Probabilistic Spinning Reserve Adequacy Evaluation of Generating Systems

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Published in 2017 at "Electric Power Components and Systems"

DOI: 10.1080/15325008.2017.1404660

Abstract: Abstract Probabilistic adequacy evaluation of allocated spinning reserve is beneficial to economically regulating this foremost auxiliary service to counterbalance unforeseen generation-demand mismatches. As the time horizon for a probabilistic spinning reserve adequacy investigation task may… read more here.

Keywords: spinning reserve; entropy method; method; cross entropy ... See more keywords
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Multi-branch convolutional neural networks with integrated cross-entropy for fault diagnosis in diesel engines

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Published in 2020 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/abcefb

Abstract: Fault diagnosis based on deep learning has become a hot research topic because of the successful application of deep learning in other fields. Due to variable operating conditions and a harsh operating environment, it is… read more here.

Keywords: integrated cross; model; diesel; cross entropy ... See more keywords
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Accurate and efficient estimation of small P-values with the cross-entropy method: applications in genomic data analysis

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Published in 2019 at "Bioinformatics"

DOI: 10.1093/bioinformatics/bty1005

Abstract: Motivation Small p-values are often required to be accurately estimated in large-scale genomic studies for the adjustment of multiple hypothesis tests and the ranking of genomic features based on their statistical significance. For those complicated… read more here.

Keywords: small values; entropy method; test; cross entropy ... See more keywords
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Cross Entropy Benchmark for Measurement-Induced Phase Transitions

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Published in 2022 at "Physical Review Letters"

DOI: 10.1103/physrevlett.130.220404

Abstract: We investigate the prospects of employing the linear cross-entropy to experimentally access measurement-induced phase transitions (MIPT) without requiring any postselection of quantum trajectories. For two random circuits that are identical in the bulk but with… read more here.

Keywords: measurement induced; cross entropy; phase transitions; measurement ... See more keywords