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Unsupervised electric motor fault detection by using deep autoencoders

IEEE/CAA journal of automatica sinica, 2019-03, Vol.6 (2), p.441-451

2019

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Few-Shot Emergency Siren Detection

Sensors (Basel, Switzerland), 2022-06, Vol.22 (12), p.4338

2022

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Machine Learning Approaches to Non-Intrusive Load Monitoring

1st ed. 2020., 2019

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Wireless Networked Music Performance

1st ed. 2016, 2016

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A Non-Intrusive Load Monitoring Algorithm Based on Non-Uniform Sampling of Power Data and Deep Neural Networks

Energies (Basel), 2019-04, Vol.12 (7), p.1371

2019

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Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection

Computational Intelligence and Neuroscience, 2017-01, Vol.2017 (2017), p.1-14

2017

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Localizing speakers in multiple rooms by using Deep Neural Networks

Computer speech & language, 2018-05, Vol.49, p.83-106

2018

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Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation

IEEE access, 2019, Vol.7, p.51982-51993

2019

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Designing Audio Equalization Filters by Deep Neural Networks

Applied sciences, 2020-04, Vol.10 (7), p.2483

2020

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Transfer Learning for Non-Intrusive Load Monitoring

IEEE transactions on smart grid, 2020-03, Vol.11 (2), p.1419-1429

2020

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Acoustic template-matching for automatic emergency state detection: An ELM based algorithm

Neurocomputing (Amsterdam), 2015-02, Vol.149, p.426-434

2015

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A3CarScene: An audio-visual dataset for driving scene understanding

Data in brief, 2023-06, Vol.48, p.109146, Article 109146

2023

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Deep Convolutional Extreme Learning Machine and Its Application in Handwritten Digit Classification

Computational Intelligence and Neuroscience, 2016-01, Vol.2016 (2016), p.1-10

2016

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Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection

IEEE transactions on emerging topics in computational intelligence, 2021-02, Vol.5 (1), p.108-118

2021

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A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features

Computational Intelligence and Neuroscience, 2017-01, Vol.2017 (2017), p.1-13

2017

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Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning

IEEE transactions on industrial informatics, 2021-07, Vol.17 (7), p.4733-4742

2021

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A Statistical Framework for Automatic Leakage Detection in Smart Water and Gas Grids

Energies (Basel), 2016-09, Vol.9 (9), p.665-665

2016

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Environmental robust speech and speaker recognition through multi-channel histogram equalization

Neurocomputing (Amsterdam), 2012-02, Vol.78 (1), p.111-120

2012

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Modified PSO algorithm for real-time energy management in grid-connected microgrids

Renewable energy, 2019-06, Vol.136, p.746-757

2019

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Non-Intrusive Load Monitoring in industrial settings: A systematic review

Renewable & sustainable energy reviews, 2024-09, Vol.202, p.114703, Article 114703

2024

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Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models

Applied energy, 2017-12, Vol.208, p.1590-1607

2017

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Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring

IEEE transactions on smart grid, 2023-01, Vol.14 (1), p.440-452

2023

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Energy scheduling of community microgrid with battery cost using particle swarm optimisation

Applied energy, 2019-11, Vol.254, p.113723, Article 113723

2019

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A Modified MinMax k-Means Algorithm Based on PSO

Computational Intelligence and Neuroscience, 2016, Vol.2016 (2016), p.1-13

2016

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Denoising autoencoders for Non-Intrusive Load Monitoring: Improvements and comparative evaluation

Energy and buildings, 2018-01, Vol.158, p.1461-1474

2018

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Unsupervised electric motor fault detection by using deep autoencoders

Few-Shot Emergency Siren Detection

Machine Learning Approaches to Non-Intrusive Load Monitoring

Wireless Networked Music Performance

A Non-Intrusive Load Monitoring Algorithm Based on Non-Uniform Sampling of Power Data and Deep Neural Networks

Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection

Localizing speakers in multiple rooms by using Deep Neural Networks

Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation

Designing Audio Equalization Filters by Deep Neural Networks

Transfer Learning for Non-Intrusive Load Monitoring

Acoustic template-matching for automatic emergency state detection: An ELM based algorithm

A3CarScene: An audio-visual dataset for driving scene understanding

Deep Convolutional Extreme Learning Machine and Its Application in Handwritten Digit Classification

Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection

A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features

Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning

A Statistical Framework for Automatic Leakage Detection in Smart Water and Gas Grids

Environmental robust speech and speaker recognition through multi-channel histogram equalization

Modified PSO algorithm for real-time energy management in grid-connected microgrids

Non-Intrusive Load Monitoring in industrial settings: A systematic review

Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models

Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring

Energy scheduling of community microgrid with battery cost using particle swarm optimisation

A Modified MinMax k-Means Algorithm Based on PSO

Denoising autoencoders for Non-Intrusive Load Monitoring: Improvements and comparative evaluation

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