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 11,186  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: Database: DOAJ Directory of Open Access Journals remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Two-Stage Hybrid Data Classifiers Based on SVM and kNN Algorithms
Two-Stage Hybrid Data Classifiers Based on SVM and kNN Algorithms
Material Type:
Article 		Add to My Research

Two-Stage Hybrid Data Classifiers Based on SVM and kNN Algorithms

Symmetry (Basel), 2021-04, Vol.13 (4), p.615 [Peer Reviewed Journal]

2021 by the author. 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: 2073-8994 ;EISSN: 2073-8994 ;DOI: 10.3390/sym13040615

Full text available

Citations Cited by
2
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Material Type:
Article 		Add to My Research

GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

Di xue qian yuan., 2021-03, Vol.12 (2), p.857-876 [Peer Reviewed Journal]

2021 Elsevier B.V. ;Copyright Elsevier Science Ltd. Mar 2021 ;Copyright © Wanfang Data Co. Ltd. All Rights Reserved. ;ISSN: 1674-9871 ;EISSN: 2588-9192 ;DOI: 10.1016/j.gsf.2020.09.004

Full text available

Citations Cited by
3
Classifiers Combination Techniques: A Comprehensive Review
Classifiers Combination Techniques: A Comprehensive Review
Material Type:
Article 		Add to My Research

Classifiers Combination Techniques: A Comprehensive Review

IEEE access, 2018-01, Vol.6, p.19626-19639 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2813079 ;CODEN: IAECCG

Full text available

Citations Cited by
4
Multiple classifier system for remote sensing image classification: a review
Multiple classifier system for remote sensing image classification: a review
Material Type:
Article 		Add to My Research

Multiple classifier system for remote sensing image classification: a review

Sensors, 2012-04, Vol.12 (4), p.4764-4792 [Peer Reviewed Journal]

Copyright MDPI AG 2012 ;2012 by the authors; licensee MDPI, Basel, Switzerland. 2012 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s120404764 ;PMID: 22666057

Full text available

Citations Cited by
5
Distance classifier ensemble based on intra-class and inter-class scatter
Distance classifier ensemble based on intra-class and inter-class scatter
Material Type:
Conference Proceeding 		Add to My Research

Distance classifier ensemble based on intra-class and inter-class scatter

E3S Web of Conferences, 2022, Vol.360, p.1041 [Peer Reviewed Journal]

2022. This work is licensed 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: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202236001041

Full text available

Citations Cited by
6
An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach
An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach
Material Type:
Article 		Add to My Research

An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach

IEEE access, 2021, Vol.9, p.67488-67500 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3075140 ;CODEN: IAECCG

Full text available

Citations Cited by
7
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
8
Fabric Defect Detection Using a One-class Classification Based on Depthwise Separable Convolution Autoencoder
Fabric Defect Detection Using a One-class Classification Based on Depthwise Separable Convolution Autoencoder
Material Type:
Article 		Add to My Research

Fabric Defect Detection Using a One-class Classification Based on Depthwise Separable Convolution Autoencoder

Journal of physics. Conference series, 2023-08, Vol.2562 (1), p.12053 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2562/1/012053

Full text available

Citations Cited by
9
Simple and Effective Complementary Label Learning Based on Mean Square Error Loss
Simple and Effective Complementary Label Learning Based on Mean Square Error Loss
Material Type:
Article 		Add to My Research

Simple and Effective Complementary Label Learning Based on Mean Square Error Loss

Journal of physics. Conference series, 2023-05, Vol.2504 (1), p.12016 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2504/1/012016

Full text available

Citations Cited by
10
Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers
Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers
Material Type:
Article 		Add to My Research

Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers

IEEE access, 2020, Vol.8, p.76516-76531 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2989857 ;CODEN: IAECCG

Full text available

Citations Cited by
11
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
Material Type:
Article 		Add to My Research

TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System

IEEE access, 2019, Vol.7, p.94497-94507 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2928048 ;CODEN: IAECCG

Full text available

Citations Cited by
12
EEG-Based Emotion Classification Using Stacking Ensemble Approach
EEG-Based Emotion Classification Using Stacking Ensemble Approach
Material Type:
Article 		Add to My Research

EEG-Based Emotion Classification Using Stacking Ensemble Approach

Sensors (Basel, Switzerland), 2022-11, Vol.22 (21), p.8550 [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/s22218550 ;PMID: 36366249

Full text available

Citations Cited by
13
EEG Authentication System Based on One- and Multi-Class Machine Learning Classifiers
EEG Authentication System Based on One- and Multi-Class Machine Learning Classifiers
Material Type:
Article 		Add to My Research

EEG Authentication System Based on One- and Multi-Class Machine Learning Classifiers

Sensors (Basel, Switzerland), 2022-12, Vol.23 (1), p.186 [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/s23010186 ;PMID: 36616785

Full text available

Citations Cited by
14
Tweets Classification on the Base of Sentiments for US Airline Companies
Tweets Classification on the Base of Sentiments for US Airline Companies
Material Type:
Article 		Add to My Research

Tweets Classification on the Base of Sentiments for US Airline Companies

Entropy (Basel, Switzerland), 2019-11, Vol.21 (11), p.1078 [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: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e21111078

Full text available

Citations Cited by
15
Digital twin design of pneumatic classifier and its key technology
Digital twin design of pneumatic classifier and its key technology
Material Type:
Article 		Add to My Research

Digital twin design of pneumatic classifier and its key technology

Journal of physics. Conference series, 2023-09, Vol.2589 (1), p.12028 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2589/1/012028

Full text available

Citations Cited by
16
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
17
nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification
nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification
Material Type:
Article 		Add to My Research

nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification

BMC bioinformatics, 2014-09, Vol.15 (1), p.298-298, Article 298 [Peer Reviewed Journal]

COPYRIGHT 2014 BioMed Central Ltd. ;2014 Song et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Song et al.; licensee BioMed Central Ltd. 2014 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/1471-2105-15-298 ;PMID: 25196432

Full text available

Citations Cited by
18
Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest
Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest
Material Type:
Article 		Add to My Research

Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest

Geo-spatial information science, 2023-07, Vol.26 (3), p.302-320 [Peer Reviewed Journal]

2022 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. 2022 ;2022 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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: 1009-5020 ;EISSN: 1993-5153 ;DOI: 10.1080/10095020.2022.2100287

Full text available

Citations Cited by
19
Phishing Detection System through Hybrid Machine Learning Based on URL
Phishing Detection System through Hybrid Machine Learning Based on URL
Material Type:
Article 		Add to My Research

Phishing Detection System through Hybrid Machine Learning Based on URL

IEEE access, 2023-01, Vol.11, p.1-1 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2023.3252366 ;CODEN: IAECCG

Full text available

Citations Cited by
20
Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery
Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery
Material Type:
Article 		Add to My Research

Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery

Remote sensing (Basel, Switzerland), 2015-01, Vol.7 (1), p.153-168 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs70100153

Full text available

Citations Cited by

Results 1 - 20 of 11,186  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 (10,239)

Refine My Results

Creation Date 

From To
Refine
  1. Before 1999  (8)
  2. 1999 To 2004  (57)
  3. 2005 To 2010  (171)
  4. 2011 To 2017  (2,060)
  5. After 2017  (8,883)
  6. More options open sub menu

Resource Type 

  1. Articles  (11,072)
  2. Conference Proceedings  (112)
  3. Web Resources  (1)
  4. Reviews  (1)
  5. More options open sub menu

Language 

  1. English  (11,037)
  2. Japanese  (514)
  3. Chinese  (78)
  4. Portuguese  (52)
  5. Indonesian  (50)
  6. Russian  (40)
  7. Spanish  (38)
  8. Persian  (16)
  9. German  (15)
  10. Arabic  (14)
  11. Catalan  (8)
  12. Croatian  (6)
  13. French  (5)
  14. Norwegian  (4)
  15. Ukrainian  (4)
  16. Polish  (3)
  17. Slovak  (2)
  18. Turkish  (2)
  19. Afrikaans  (2)
  20. Italian  (1)
  21. 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