skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 1 - 20 of 5,397  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page
Show only
Refined by: subject: Neural Networks remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Fusion and Classification of SAR and Optical Data Using Multi-Image Color Components with Differential Gradients
Fusion and Classification of SAR and Optical Data Using Multi-Image Color Components with Differential Gradients
Material Type:
Article 		Add to My Research

Fusion and Classification of SAR and Optical Data Using Multi-Image Color Components with Differential Gradients

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (1), p.274 [Peer Reviewed Journal]

2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15010274

Full text available

Citations Cited by
2
A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage
A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage
Material Type:
Article 		Add to My Research

A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage

Sensors (Basel, Switzerland), 2021-11, Vol.21 (23), p.7900 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21237900 ;PMID: 34883902

Full text available

Citations Cited by
3
Accuracy Improvement of Transformer Faults Diagnostic Based on DGA Data Using SVM-BA Classifier
Accuracy Improvement of Transformer Faults Diagnostic Based on DGA Data Using SVM-BA Classifier
Material Type:
Article 		Add to My Research

Accuracy Improvement of Transformer Faults Diagnostic Based on DGA Data Using SVM-BA Classifier

Energies (Basel), 2021-05, Vol.14 (10), p.2970 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en14102970

Full text available

Citations Cited by
4
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
Material Type:
Article 		Add to My Research

Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors

Sensors (Basel, Switzerland), 2017-05, Vol.17 (6), p.1229 [Peer Reviewed Journal]

2017. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17061229 ;PMID: 28555016

Full text available

Citations Cited by
5
Swarm Learning for decentralized and confidential clinical machine learning
Swarm Learning for decentralized and confidential clinical machine learning
Material Type:
Article 		Add to My Research

Swarm Learning for decentralized and confidential clinical machine learning

Nature (London), 2021-06, Vol.594 (7862), p.265-270 [Peer Reviewed Journal]

COPYRIGHT 2021 Nature Publishing Group ;Copyright Nature Publishing Group Jun 10, 2021 ;The Author(s) 2021 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-021-03583-3 ;PMID: 34040261

Full text available

Citations Cited by
6
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
Material Type:
Article 		Add to My Research

Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits

Nature communications, 2018-06, Vol.9 (1), p.2331-7, Article 2331 [Peer Reviewed Journal]

2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-018-04482-4 ;PMID: 29899421

Full text available

Citations Cited by
7
Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier
Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier
Material Type:
Article 		Add to My Research

Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier

Neural computing & applications, 2022-06, Vol.34 (12), p.9579-9592 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-04842-6

Full text available

Citations Cited by
8
Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting
Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting
Material Type:
Article 		Add to My Research

Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.7020 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22187020 ;PMID: 36146369

Full text available

Citations Cited by
9
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
Material Type:
Article 		Add to My Research

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis

Proceedings of the National Academy of Sciences - PNAS, 2020-06, Vol.117 (23), p.12592-12594 [Peer Reviewed Journal]

Copyright © 2020 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Jun 9, 2020 ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1919012117 ;PMID: 32457147

Full text available

Citations Cited by
10
A comprehensive evaluation of ensemble learning for stock-market prediction
A comprehensive evaluation of ensemble learning for stock-market prediction
Material Type:
Article 		Add to My Research

A comprehensive evaluation of ensemble learning for stock-market prediction

Journal of big data, 2020-03, Vol.7 (1), p.1-40, Article 20 [Peer Reviewed Journal]

The Author(s) 2020 ;Journal of Big Data is a copyright of Springer, (2020). All Rights Reserved. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-020-00299-5

Full text available

Citations Cited by
11
Adapting Feature Selection Algorithms for the Classification of Chinese Texts
Adapting Feature Selection Algorithms for the Classification of Chinese Texts
Material Type:
Article 		Add to My Research

Adapting Feature Selection Algorithms for the Classification of Chinese Texts

Systems (Basel), 2023-09, Vol.11 (9), p.483 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-8954 ;EISSN: 2079-8954 ;DOI: 10.3390/systems11090483

Full text available

Citations Cited by
12
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
Material Type:
Article 		Add to My Research

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

PloS one, 2015-07, Vol.10 (7), p.e0130140-e0130140 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Bach et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Bach et al 2015 Bach et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0130140 ;PMID: 26161953

Full text available

Citations Cited by
13
Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability
Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability
Material Type:
Article 		Add to My Research

Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3314 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22093314 ;PMID: 35591006

Full text available

Citations Cited by
14
Deep Learning for Tomato Diseases: Classification and Symptoms Visualization
Deep Learning for Tomato Diseases: Classification and Symptoms Visualization
Material Type:
Article 		Add to My Research

Deep Learning for Tomato Diseases: Classification and Symptoms Visualization

Applied artificial intelligence, 2017-04, Vol.31 (4), p.299-315 [Peer Reviewed Journal]

ISSN: 0883-9514 ;EISSN: 1087-6545 ;DOI: 10.1080/08839514.2017.1315516

Digital Resources/Online E-Resources

Citations Cited by
15
Improving Adversarial Robustness of Ensemble Classifiers by Diversified Feature Selection and Stochastic Aggregation
Improving Adversarial Robustness of Ensemble Classifiers by Diversified Feature Selection and Stochastic Aggregation
Material Type:
Article 		Add to My Research

Improving Adversarial Robustness of Ensemble Classifiers by Diversified Feature Selection and Stochastic Aggregation

Mathematics (Basel), 2024-03, Vol.12 (6), p.834 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2227-7390 ;EISSN: 2227-7390 ;DOI: 10.3390/math12060834

Full text available

Citations Cited by
16
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
Material Type:
Article 		Add to My Research

Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans

Computers in biology and medicine, 2022-02, Vol.141, p.105127-105127, Article 105127 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;2021 Elsevier Ltd. All rights reserved. 2021 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.105127 ;PMID: 34915332

Full text available

Citations Cited by
17
Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections
Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections
Material Type:
Article 		Add to My Research

Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections

IEEE transactions on antennas and propagation, 2018-12, Vol.66 (12), p.7315-7327 [Peer Reviewed Journal]

ISSN: 0018-926X ;EISSN: 1558-2221 ;DOI: 10.1109/TAP.2018.2874430 ;CODEN: IETPAK

Digital Resources/Online E-Resources

Citations Cited by
18
DeepLocate: Smartphone Based Indoor Localization with a Deep Neural Network Ensemble Classifier
DeepLocate: Smartphone Based Indoor Localization with a Deep Neural Network Ensemble Classifier
Material Type:
Article 		Add to My Research

DeepLocate: Smartphone Based Indoor Localization with a Deep Neural Network Ensemble Classifier

Sensors (Basel, Switzerland), 2019-12, Vol.20 (1), p.133 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20010133 ;PMID: 31878233

Full text available

Citations Cited by
19
Movie genre classification using binary relevance, label powerset, and machine learning classifiers
Movie genre classification using binary relevance, label powerset, and machine learning classifiers
Material Type:
Article 		Add to My Research

Movie genre classification using binary relevance, label powerset, and machine learning classifiers

Multimedia tools and applications, 2023, Vol.82 (1), p.945-968 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-13211-5

Full text available

Citations Cited by
20
A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers
A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers
Material Type:
Article 		Add to My Research

A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers

IEEE access, 2019, Vol.7, p.156360-156373 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2949059 ;CODEN: IAECCG

Full text available

Citations Cited by

Results 1 - 20 of 5,397  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Show only

  1. Peer-reviewed Journals (3,617)

Refine My Results

Creation Date 

From To
Refine
  1. Before 1996  (14)
  2. 1996 To 2002  (76)
  3. 2003 To 2009  (110)
  4. 2010 To 2017  (856)
  5. After 2017  (4,342)
  6. More options open sub menu

Language 

  1. English  (5,383)
  2. Japanese  (182)
  3. Chinese  (8)
  4. Spanish  (7)
  5. Russian  (5)
  6. Norwegian  (3)
  7. Portuguese  (3)
  8. German  (2)
  9. Ndongo  (2)
  10. Catalan  (2)
  11. Polish  (1)
  12. French  (1)
  13. Arabic  (1)
  14. Italian  (1)
  15. Croatian  (1)
  16. More options open sub menu
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait