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Lọc theo: Chủ đề: Feature Extraction xóa Cơ sở dữ liệu: SAGE Open Access Journals xóa Số tài nguyên sẵn có: Tạp chí có bình duyệt xóa
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1
Road detection based on the fusion of Lidar and image data
Material Type:
Bài báo
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Road detection based on the fusion of Lidar and image data

International journal of advanced robotic systems, 2017-11, Vol.14 (6), p.172988141773810 [Tạp chí có phản biện]

The Author(s) 2017 ;ISSN: 1729-8806 ;ISSN: 1729-8814 ;EISSN: 1729-8814 ;DOI: 10.1177/1729881417738102

Tài liệu số/Tài liệu điện tử

2
Gearboxes fault detection under operation varying condition based on MODWPT, Ant colony optimization algorithm and Random Forest classifier
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Gearboxes fault detection under operation varying condition based on MODWPT, Ant colony optimization algorithm and Random Forest classifier

Advances in mechanical engineering, 2021-08, Vol.13 (8), p.168781402110430 [Tạp chí có phản biện]

The Author(s) 2021 ;The Author(s) 2021. This work is licensed under the Creative Commons Attribution License 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. ;ISSN: 1687-8132 ;ISSN: 1687-8140 ;EISSN: 1687-8140 ;DOI: 10.1177/16878140211043004

Tài liệu số/Tài liệu điện tử

3
Unsupervised adversarial domain adaptive for fault detection based on minimum domain spacing
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Unsupervised adversarial domain adaptive for fault detection based on minimum domain spacing

Advances in mechanical engineering, 2022-03, Vol.14 (3), p.168781322210886 [Tạp chí có phản biện]

The Author(s) 2022 ;The Author(s) 2022. This work is licensed under the Creative Commons Attribution License 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. ;ISSN: 1687-8132 ;EISSN: 1687-8140 ;DOI: 10.1177/16878132221088647

Tài liệu số/Tài liệu điện tử

4
Transfer learning on convolutional activation feature as applied to a building quality assessment robot
Material Type:
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Transfer learning on convolutional activation feature as applied to a building quality assessment robot

International journal of advanced robotic systems, 2017-06, Vol.14 (3), p.172988141771262 [Tạp chí có phản biện]

The Author(s) 2017 ;ISSN: 1729-8806 ;ISSN: 1729-8814 ;EISSN: 1729-8814 ;DOI: 10.1177/1729881417712620

Tài liệu số/Tài liệu điện tử

5
Condition monitoring of water pump bearings using ensemble classifier
Material Type:
Bài báo
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Condition monitoring of water pump bearings using ensemble classifier

Advances in mechanical engineering, 2022-03, Vol.14 (3), p.168781322210891 [Tạp chí có phản biện]

The Author(s) 2022 ;The Author(s) 2022. This work is licensed under the Creative Commons Attribution License 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. ;ISSN: 1687-8132 ;EISSN: 1687-8140 ;DOI: 10.1177/16878132221089170

Tài liệu số/Tài liệu điện tử

6
A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery
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Bài báo
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A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery

Advances in mechanical engineering, 2017-06, Vol.9 (6), p.168781401770414 [Tạp chí có phản biện]

The Author(s) 2017 ;ISSN: 1687-8132 ;ISSN: 1687-8140 ;EISSN: 1687-8140 ;DOI: 10.1177/1687814017704146

Tài liệu số/Tài liệu điện tử

7
Sequence-Based Prediction of Plant Protein-Protein Interactions by Combining Discrete Sine Transformation With Rotation Forest
Material Type:
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Sequence-Based Prediction of Plant Protein-Protein Interactions by Combining Discrete Sine Transformation With Rotation Forest

Evolutionary bioinformatics online, 2021, Vol.17, p.117693432110500-11769343211050067 [Tạp chí có phản biện]

The Author(s) 2021 ;The Author(s) 2021. This work is licensed under the Creative Commons Attribution – Non-Commercial License https://creativecommons.org/licenses/by-nc/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) 2021 2021 SAGE Publications Ltd unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses ;ISSN: 1176-9343 ;EISSN: 1176-9343 ;DOI: 10.1177/11769343211050067 ;PMID: 34671178

Tài liệu số/Tài liệu điện tử

8
Hierarchical classification method of electricity consumption industries through TNPE and Bayes
Material Type:
Bài báo
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Hierarchical classification method of electricity consumption industries through TNPE and Bayes

Measurement and control (London), 2021-03, Vol.54 (3-4), p.346-359 [Tạp chí có phản biện]

The Author(s) 2021 ;The Author(s) 2021. This work is licensed under the Creative Commons Attribution License 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. ;ISSN: 0020-2940 ;EISSN: 2051-8730 ;DOI: 10.1177/0020294021997494

Tài liệu số/Tài liệu điện tử

9
NLPEI: A Novel Self-Interacting Protein Prediction Model Based on Natural Language Processing and Evolutionary Information
Material Type:
Bài báo
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NLPEI: A Novel Self-Interacting Protein Prediction Model Based on Natural Language Processing and Evolutionary Information

Evolutionary bioinformatics online, 2020, Vol.16, p.1176934320984171-1176934320984171 [Tạp chí có phản biện]

The Author(s) 2020 ;The Author(s) 2020. ;The Author(s) 2020. This work is licensed under the Creative Commons Attribution – Non-Commercial License https://creativecommons.org/licenses/by-nc/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) 2020 2020 SAGE Publications Ltd unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses ;ISSN: 1176-9343 ;EISSN: 1176-9343 ;DOI: 10.1177/1176934320984171 ;PMID: 33488064

Tài liệu số/Tài liệu điện tử

10
An Efficient Feature Extraction Technique Based on Local Coding PSSM and Multifeatures Fusion for Predicting Protein-Protein Interactions
Material Type:
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An Efficient Feature Extraction Technique Based on Local Coding PSSM and Multifeatures Fusion for Predicting Protein-Protein Interactions

Evolutionary bioinformatics online, 2019, Vol.15, p.1176934319879920-1176934319879920 [Tạp chí có phản biện]

The Author(s) 2019 ;The Author(s) 2019. ;The Author(s) 2019. This work is licensed under the Creative Commons Attribution – Non-Commercial License http://www.creativecommons.org/licenses/by-nc/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) 2019 2019 SAGE Publications Ltd unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses ;ISSN: 1176-9343 ;EISSN: 1176-9343 ;DOI: 10.1177/1176934319879920 ;PMID: 31619921

Tài liệu số/Tài liệu điện tử

Kết quả 1 - 10 của 15  trong Tất cả tài nguyên

Kết quả 1 2 next page

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