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Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks

IEEE journal of biomedical and health informatics, 2019-07, Vol.23 (4), p.1574-1584

2019

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RSSI-Based LoRa Localization Systems for Large-Scale Indoor and Outdoor Environments

IEEE transactions on vehicular technology, 2019-12, Vol.68 (12), p.11778-11791

2019

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I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification

IEEE journal of biomedical and health informatics, 2020-03, Vol.24 (3), p.717-727

2020

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A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization

IEEE access, 2020, Vol.8, p.189527-189545

2020

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Wisdom Intoned: A Reappraisal of the Genre 'Wisdom Psalms'

Cheung, Simon Chi-Chung

1, 2015

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Magnified gradient function with deterministic weight modification in adaptive learning

IEEE transaction on neural networks and learning systems, 2004-11, Vol.15 (6), p.1411-1423

2004

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A new strategy for finding good local guides in MOPSO

2014 IEEE Congress on Evolutionary Computation (CEC), 2014, p.1990-1997

2014

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A new optimization algorithm for power saving in backbone networks

2014 23rd International Conference on Computer Communication and Networks (ICCCN), 2014, p.1-6

2014

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A new algorithm based on PSO for multi-objective optimization

2015 IEEE Congress on Evolutionary Computation (CEC), 2015, p.3156-3162

2015

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A Smartphone-Based IoT System to Monitor Driving Behaviors by Using a Machine Learning Classifier

2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2023, p.66-71

2023

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Fast learning algorithm to improve performance of Quickprop

Electronics letters, 2012-06, Vol.48 (12), p.678-679

2012

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Backpropagation with two-phase magnified gradient function

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.710-715

2008

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A PROSPECTIVE STUDY OF THE EFFICACY OF LOCAL APPLICATION OF GENTAMICIN VERSUS MUPIROCIN IN THE PREVENTION OF PERITONEAL DIALYSIS CATHETER-RELATED INFECTIONS

Peritoneal dialysis international, 2008-09, Vol.28 (5), p.505-508

2008

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A systematic algorithm to escape from local minima in training feed-forward neural networks

2016 International Joint Conference on Neural Networks (IJCNN), 2016, p.396-402

2016

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Dynamic multicast routing based on mean number of new calls accepted before blocking for single rate loss networks

IEEE/ACM transactions on networking, 2000-10, Vol.8 (5), p.679-688

2000

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A new terminating condition to identify the convergence of the learning process in multi-layer feed-forward neural networks

2015 International Joint Conference on Neural Networks (IJCNN), 2015, p.1-6

2015

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LoRa-based localization systems for noisy outdoor environment

2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2017, p.278-284

2017

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New RSSI-Based LoRa Localization Algorithms for Very Noisy Outdoor Environment

2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018, Vol.2, p.794-799

2018

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Active sound transmission reduction across acoustic window

The Journal of the Acoustical Society of America, 2023-10, Vol.154 (4_supplement), p.A291-A291

2023

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Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks

2014 International Joint Conference on Neural Networks (IJCNN), 2014, p.1225-1230

2014

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Solving the local minimum and flat-spot problem by modifying wrong outputs for feed-forward neural networks

The 2013 International Joint Conference on Neural Networks (IJCNN), 2013, p.1-7

2013

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A feasibility study on active sound reduction across an acoustic plenum window by cancelling source clusters on internal periphery of the window cavity

The Journal of the Acoustical Society of America, 2024-10, Vol.156 (4), p.2155-2168

2024

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A new fast learning algorithm with promising global convergence capability for feed-forward neural networks

The 2013 International Joint Conference on Neural Networks (IJCNN), 2013, p.1-6

2013

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Patient-Specific Heartbeat Classification Based on I-Vector Adapted Deep Neural Networks

2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018, p.784-787

2018

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Deep neural networks versus support vector machines for ECG arrhythmia classification

2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2017, p.127-132

2017

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Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks

RSSI-Based LoRa Localization Systems for Large-Scale Indoor and Outdoor Environments

I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification

A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization

Wisdom Intoned: A Reappraisal of the Genre 'Wisdom Psalms'

Magnified gradient function with deterministic weight modification in adaptive learning

A new strategy for finding good local guides in MOPSO

A new optimization algorithm for power saving in backbone networks

A new algorithm based on PSO for multi-objective optimization

A Smartphone-Based IoT System to Monitor Driving Behaviors by Using a Machine Learning Classifier

Fast learning algorithm to improve performance of Quickprop

Backpropagation with two-phase magnified gradient function

A PROSPECTIVE STUDY OF THE EFFICACY OF LOCAL APPLICATION OF GENTAMICIN VERSUS MUPIROCIN IN THE PREVENTION OF PERITONEAL DIALYSIS CATHETER-RELATED INFECTIONS

A systematic algorithm to escape from local minima in training feed-forward neural networks

Dynamic multicast routing based on mean number of new calls accepted before blocking for single rate loss networks

A new terminating condition to identify the convergence of the learning process in multi-layer feed-forward neural networks

LoRa-based localization systems for noisy outdoor environment

New RSSI-Based LoRa Localization Algorithms for Very Noisy Outdoor Environment

Active sound transmission reduction across acoustic window

Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks

Solving the local minimum and flat-spot problem by modifying wrong outputs for feed-forward neural networks

A feasibility study on active sound reduction across an acoustic plenum window by cancelling source clusters on internal periphery of the window cavity

A new fast learning algorithm with promising global convergence capability for feed-forward neural networks

Patient-Specific Heartbeat Classification Based on I-Vector Adapted Deep Neural Networks

Deep neural networks versus support vector machines for ECG arrhythmia classification

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