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   Articles with "probabilistic neural" as a keyword



Probabilistic neural network based efficient bandwidth allocation in wireless sensor networks

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recommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"

DOI: 10.1007/s12652-021-02961-z

Abstract: In Wireless Sensor Networks the efficient use of resources is the basic challenge. One such significant challenge is the utilization of bandwidth. The bandwidth is the fundamental resource for transmitting data in a network. The… read more here.

Keywords: sensor networks; sensor; probabilistic neural; network ... See more keywords
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Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network

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recommendations! Published in 2020 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2020.105625

Abstract: BACKGROUND The size of genomics data has been growing rapidly over the last decade. However, the conventional data analysis techniques are incapable of processing this huge amount of data. For the efficient processing of high… read more here.

Keywords: high dimensional; analysis; probabilistic neural; based probabilistic ... See more keywords

Bolt loosening detection using impedance based non-destructive method and probabilistic neural network technique with minimal training data

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recommendations! Published in 2021 at "Engineering Structures"

DOI: 10.1016/j.engstruct.2020.111228

Abstract: Abstract For centuries, bolted fastening has been widely used in aerospace, civil and mechanical engineering areas to achieve joining of parts. However, studies have shown that vibration occurs virtually in all dynamic systems such as… read more here.

Keywords: technique; based non; training data; probabilistic neural ... See more keywords

A comparative study for two LiNbO3 cuts (Y-Z and Y-X) in detecting bulk acoustic microwaves using Probabilistic Neural Network

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recommendations! Published in 2018 at "Engineering Science and Technology, an International Journal"

DOI: 10.1016/j.jestch.2018.03.012

Abstract: Abstract This work is mainly on the detection of the bulk acoustic waves (BAWs), where we have compared two Lithium Niobate cuts (Y-Z and Y-X), during the propagation of the acoustic microwaves in the piezoelectric… read more here.

Keywords: probabilistic neural; study; acoustic microwaves; neural network ... See more keywords
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Child emotion recognition using probabilistic neural network with effective features

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recommendations! Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2019.107369

Abstract: Abstract Use of effective features for emotion recognition is a step towards better accuracy. The segmental features extracted from the utterances have a high dimension as well as redundant. Low-dimensional feature set for neural network… read more here.

Keywords: emotion recognition; network; probabilistic neural; effective features ... See more keywords

Comparative study of probabilistic neural network and back propagation network for fault diagnosis of refrigeration systems

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recommendations! Published in 2018 at "Science and Technology for the Built Environment"

DOI: 10.1080/23744731.2017.1375012

Abstract: Fault diagnosis is of crucial importance to mechanical systems. To find an efficient way of conducting fault diagnosis for refrigeration systems, probabilistic neural network, and back-propagation network were employed to diagnose seven types of typical… read more here.

Keywords: network; probabilistic neural; propagation network; neural network ... See more keywords

Efficient Training of Probabilistic Neural Networks for Survival Analysis

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recommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2024.3417369

Abstract: Variational Inference (VI) is a commonly used technique for approximate Bayesian inference and uncertainty estimation in deep learning models, yet it comes at a computational cost, as it doubles the number of trainable parameters to… read more here.

Keywords: training probabilistic; analysis; uncertainty; survival analysis ... See more keywords

Wavelet Probabilistic Neural Networks.

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recommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3174705

Abstract: In this article, a novel wavelet probabilistic neural network (WPNN), which is a generative-learning wavelet neural network that relies on the wavelet-based estimation of class probability densities, is proposed. In this new neural network approach,… read more here.

Keywords: neural network; neural networks; probabilistic neural; wavelet probabilistic ... See more keywords

A Novel Classification and Identification Scheme of Emitter Signals Based on Ward's Clustering and Probabilistic Neural Networks with Correlation Analysis

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recommendations! Published in 2018 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2018/1458962

Abstract: The rapid development of modern communication technology makes the identification of emitter signals more complicated. Based on Ward's clustering and probabilistic neural networks method with correlation analysis, an ensemble identification algorithm for mixed emitter signals… read more here.

Keywords: neural networks; emitter signals; probabilistic neural; ward clustering ... See more keywords

Probabilistic Neural Networks for Ensemble Postprocessing

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recommendations! Published in 2024 at "Monthly Weather Review"

DOI: 10.1175/mwr-d-23-0220.1

Abstract: Accurate temperature forecasts are critical for various industries and sectors. We propose a probabilistic neural network (PNN), an extension of the distributional regression network (DRN), for 2-m temperature forecasts, consisting of three variants with different… read more here.

Keywords: pnn; forecast skills; probabilistic neural; temperature forecasts ... See more keywords

Exhaustive probabilistic neural network for attribute selection and supervised seismic facies classification

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recommendations! Published in 2021 at "Interpretation"

DOI: 10.1190/int-2020-0102.1

Abstract: Machine learning (ML) algorithms, such as principal component analysis, independent component analysis, self-organizing maps, and artificial neural networks, have been used by geoscientists to not only accelerate the interpretation of their data, but also to… read more here.

Keywords: seismic facies; probabilistic neural; exhaustive probabilistic; neural network ... See more keywords