An Unseen Fault Classification Approach for Smart Appliances using Ongoing Multivariate Time Series

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2020.3016590 ◽

2020 ◽

pp. 1-1

Author(s):

Ashish Gupta ◽

Hari Prabhat Gupta ◽

Bhaskar Biswas ◽

Tanima Dutta

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Fault Classification ◽

Classification Approach ◽

Smart Appliances

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Early Classification Approach for Multivariate Time Series using Sensors of Different Sampling Rate

2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) ◽

10.1109/sahcn.2019.8824960 ◽

2019 ◽

Author(s):

Ashish Gupta ◽

Hari Prabhat Gupta ◽

Tanima Dutta

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Sampling Rate ◽

Classification Approach ◽

Early Classification

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An Early Classification Approach for Multivariate Time Series of On-Vehicle Sensors in Transportation

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2019.2957325 ◽

2020 ◽

Vol 21 (12) ◽

pp. 5316-5327 ◽

Author(s):

Ashish Gupta ◽

Hari Prabhat Gupta ◽

Bhaskar Biswas ◽

Tanima Dutta

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Classification Approach ◽

Early Classification ◽

Vehicle Sensors

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A Divide-and-Conquer–based Early Classification Approach for Multivariate Time Series with Different Sampling Rate Components in IoT

ACM Transactions on Internet of Things ◽

10.1145/3375877 ◽

2020 ◽

Vol 1 (2) ◽

pp. 1-21 ◽

Author(s):

Ashish Gupta ◽

Hari Prabhat Gupta ◽

Bhaskar Biswas ◽

Tanima Dutta

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Sampling Rate ◽

Divide And Conquer ◽

Classification Approach ◽

Early Classification

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An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm

Expert Systems with Applications ◽

10.1016/j.eswa.2015.08.055 ◽

2016 ◽

Vol 43 ◽

pp. 237-249 ◽

Author(s):

Lin Wang ◽

Zhigang Wang ◽

Shan Liu

Keyword(s):

Time Series ◽

Differential Evolution ◽

Multivariate Time Series ◽

Differential Evolution Algorithm ◽

Echo State Network ◽

Time Series Classification ◽

Classification Approach ◽

Adaptive Differential Evolution ◽

Evolution Algorithm

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A Fault-Tolerant Early Classification Approach for Human Activities using Multivariate Time Series

IEEE Transactions on Mobile Computing ◽

10.1109/tmc.2020.2973616 ◽

2020 ◽

pp. 1-1

Author(s):

Ashish Gupta ◽

Hari Prabat Gupta ◽

Bhaskar Biswas ◽

Tanima Dutta

Keyword(s):

Time Series ◽

Human Activities ◽

Fault Tolerant ◽

Multivariate Time Series ◽

Classification Approach ◽

Early Classification

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Discerning cognitive stages in a working memory and decision making task from human fMRI data using multivariate time series analysis

Frontiers in Computational Neuroscience ◽

10.3389/conf.fncom.2012.55.00228 ◽

2012 ◽

Vol 6 ◽

Author(s):

Durstewitz Daniel

Keyword(s):

Decision Making ◽

Working Memory ◽

Time Series ◽

Time Series Analysis ◽

Multivariate Time Series ◽

Fmri Data ◽

Series Analysis ◽

Multivariate Time Series Analysis

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Asymptotic Distributions of Functions of the Eigenvalues of the Sample Covariance Matrix and Canonical Correlation Matrix in Multivariate Time Series

10.21236/ada170282 ◽

1986 ◽

Author(s):

M. Taniguchi ◽

P. R. Krishnaiah

Keyword(s):

Time Series ◽

Covariance Matrix ◽

Canonical Correlation ◽

Correlation Matrix ◽

Multivariate Time Series ◽

Asymptotic Distributions ◽

Sample Covariance Matrix ◽

Sample Covariance

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Modeling Multivariate Time Series in Economics: From Auto-Regressions to Recurrent Neural Networks

SSRN Electronic Journal ◽

10.2139/ssrn.3589337 ◽

2020 ◽

Author(s):

Sergiy Verstyuk

Keyword(s):

Neural Networks ◽

Time Series ◽

Recurrent Neural Networks ◽

Multivariate Time Series

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Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data

10.21437/interspeech.2016-571 ◽

2016 ◽

Author(s):

Colin Vaz ◽

Asterios Toutios ◽

Shrikanth S. Narayanan

Keyword(s):

Time Series ◽

Convex Hull ◽

Matrix Factorization ◽

Time Series Data ◽

Multivariate Time Series ◽

Temporal Patterns ◽

Series Data ◽

Non Negative Matrix Factorization

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Multivariate time-series clustering based on component relationship networks

Expert Systems with Applications ◽

10.1016/j.eswa.2021.114649 ◽

2021 ◽

Vol 173 ◽

pp. 114649

Author(s):

Hailin Li ◽

Tian Du

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Clustering ◽

Relationship Networks

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