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61
Classification of EEG Signals Based on Pattern Recognition Approach
Classification of EEG Signals Based on Pattern Recognition Approach
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Classification of EEG Signals Based on Pattern Recognition Approach

Frontiers in computational neuroscience, 2017-11, Vol.11, p.103-103 [Peer Reviewed Journal]

2017. 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. ;Copyright © 2017 Amin, Mumtaz, Subhani, Saad and Malik. 2017 Amin, Mumtaz, Subhani, Saad and Malik ;ISSN: 1662-5188 ;EISSN: 1662-5188 ;DOI: 10.3389/fncom.2017.00103 ;PMID: 29209190

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62
Hand Gesture Recognition Based Omnidirectional Wheelchair Control Using IMU and EMG Sensors
Hand Gesture Recognition Based Omnidirectional Wheelchair Control Using IMU and EMG Sensors
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Hand Gesture Recognition Based Omnidirectional Wheelchair Control Using IMU and EMG Sensors

Journal of intelligent & robotic systems, 2018-09, Vol.91 (3-4), p.529-541 [Peer Reviewed Journal]

Springer Science+Business Media B.V. 2017 ;COPYRIGHT 2018 Springer ;Journal of Intelligent & Robotic Systems is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0921-0296 ;EISSN: 1573-0409 ;DOI: 10.1007/s10846-017-0725-0

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63
Pain assessment in horses using automatic facial expression recognition through deep learning-based modeling
Pain assessment in horses using automatic facial expression recognition through deep learning-based modeling
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Pain assessment in horses using automatic facial expression recognition through deep learning-based modeling

PloS one, 2021-10, Vol.16 (10), p.e0258672-e0258672 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;2021 Lencioni 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. ;2021 Lencioni et al 2021 Lencioni et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0258672 ;PMID: 34665834

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64
Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems
Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems
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Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems

Energies (Basel), 2019-04, Vol.12 (7), p.1280 [Peer Reviewed Journal]

2019. This work is licensed 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: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en12071280

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65
Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers
Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers
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Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector Machine Classifiers

ISPRS international journal of geo-information, 2017-02, Vol.6 (2), p.51-51 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 2220-9964 ;EISSN: 2220-9964 ;DOI: 10.3390/ijgi6020051

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66
A Two-Stream Deep Fusion Framework for High-Resolution Aerial Scene Classification
A Two-Stream Deep Fusion Framework for High-Resolution Aerial Scene Classification
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A Two-Stream Deep Fusion Framework for High-Resolution Aerial Scene Classification

Computational intelligence and neuroscience, 2018-01, Vol.2018, p.8639367-13 [Peer Reviewed Journal]

Copyright © 2018 Yunlong Yu and Fuxian Liu. ;Copyright © 2018 Yunlong Yu and Fuxian Liu.; This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;Copyright © 2018 Yunlong Yu and Fuxian Liu. 2018 ;ISSN: 1687-5265 ;EISSN: 1687-5273 ;DOI: 10.1155/2018/8639367 ;PMID: 29581722

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67
Metal oxide gas sensor drift compensation using a two-dimensional classifier ensemble
Metal oxide gas sensor drift compensation using a two-dimensional classifier ensemble
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Metal oxide gas sensor drift compensation using a two-dimensional classifier ensemble

Sensors (Basel, Switzerland), 2015-04, Vol.15 (5), p.10180-10193 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;2015 by the authors; licensee MDPI, Basel, Switzerland. 2015 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s150510180 ;PMID: 25942640

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68
Earthquake magnitude prediction in Hindukush region using machine learning techniques
Earthquake magnitude prediction in Hindukush region using machine learning techniques
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Earthquake magnitude prediction in Hindukush region using machine learning techniques

Natural hazards (Dordrecht), 2017-01, Vol.85 (1), p.471-486 [Peer Reviewed Journal]

Springer Science+Business Media Dordrecht 2016 ;Natural Hazards is a copyright of Springer, 2017. ;ISSN: 0921-030X ;EISSN: 1573-0840 ;DOI: 10.1007/s11069-016-2579-3

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69
3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology
3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology
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3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology

ISPRS journal of photogrammetry and remote sensing, 2012-03, Vol.68, p.121-134 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0924-2716 ;EISSN: 1872-8235 ;DOI: 10.1016/j.isprsjprs.2012.01.006

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70
Stochastic Selection of Activation Layers for Convolutional Neural Networks
Stochastic Selection of Activation Layers for Convolutional Neural Networks
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Stochastic Selection of Activation Layers for Convolutional Neural Networks

Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1626 [Peer Reviewed Journal]

2020. This work is licensed 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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20061626 ;PMID: 32183334

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71
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation
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Asymmetric and Category Invariant Feature Transformations for Domain Adaptation

International journal of computer vision, 2014-08, Vol.109 (1-2), p.28-41 [Peer Reviewed Journal]

Springer Science+Business Media New York 2014 ;COPYRIGHT 2014 Springer ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-014-0719-3

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72
Recognition of Multifunction Radars Via Hierarchically Mining and Exploiting Pulse Group Patterns
Recognition of Multifunction Radars Via Hierarchically Mining and Exploiting Pulse Group Patterns
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Recognition of Multifunction Radars Via Hierarchically Mining and Exploiting Pulse Group Patterns

IEEE transactions on aerospace and electronic systems, 2020-12, Vol.56 (6), p.4659-4672 [Peer Reviewed Journal]

ISSN: 0018-9251 ;EISSN: 1557-9603 ;DOI: 10.1109/TAES.2020.2999163 ;CODEN: IEARAX

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73
Combining multiple classifiers by averaging or by multiplying?
Combining multiple classifiers by averaging or by multiplying?
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Combining multiple classifiers by averaging or by multiplying?

Pattern recognition, 2000-09, Vol.33 (9), p.1475-1485 [Peer Reviewed Journal]

2000 Pattern Recognition Society ;ISSN: 0031-3203 ;EISSN: 1873-5142 ;DOI: 10.1016/S0031-3203(99)00138-7

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74
An innovative method of fault detection in power transformers
An innovative method of fault detection in power transformers
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An innovative method of fault detection in power transformers

International journal of electrical and computer engineering (Malacca, Malacca), 2022-04, Vol.12 (2), p.1123

Copyright IAES Institute of Advanced Engineering and Science Apr 2022 ;ISSN: 2088-8708 ;EISSN: 2722-2578 ;EISSN: 2088-8708 ;DOI: 10.11591/ijece.v12i2.pp1123-1130

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75
A survey of emerging patterns for supervised classification
A survey of emerging patterns for supervised classification
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A survey of emerging patterns for supervised classification

The Artificial intelligence review, 2014-12, Vol.42 (4), p.705-721 [Peer Reviewed Journal]

Springer Science+Business Media Dordrecht 2012 ;Springer Science+Business Media Dordrecht 2014 ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-012-9355-x

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76
Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study
Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study
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Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study

Remote sensing (Basel, Switzerland), 2017-12, Vol.9 (12), p.1220 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9121220

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77
Inception inspired CNN-GRU hybrid network for human activity recognition
Inception inspired CNN-GRU hybrid network for human activity recognition
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Inception inspired CNN-GRU hybrid network for human activity recognition

Multimedia tools and applications, 2023-02, Vol.82 (4), p.5369-5403 [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/s11042-021-11885-x

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78
Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective
Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective
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Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective

International journal of computer vision, 2024-02, Vol.132 (2), p.392-409 [Peer Reviewed Journal]

The Author(s) 2023 ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-023-01876-w

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79
Weighted Ensemble Classifier for Plant Leaf Identification
Weighted Ensemble Classifier for Plant Leaf Identification
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Weighted Ensemble Classifier for Plant Leaf Identification

Telkomnika, 2018-06, Vol.16 (3), p.1386-1393 [Peer Reviewed Journal]

Copyright Ahmad Dahlan University Jun 2018 ;ISSN: 1693-6930 ;EISSN: 2087-278X ;DOI: 10.12928/telkomnika.v16i3.7615

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80
On improving performance of surface inspection systems by online active learning and flexible classifier updates
On improving performance of surface inspection systems by online active learning and flexible classifier updates
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On improving performance of surface inspection systems by online active learning and flexible classifier updates

Machine vision and applications, 2016-01, Vol.27 (1), p.103-127 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2015 ;Machine Vision and Applications is a copyright of Springer, (2015). All Rights Reserved. ;ISSN: 0932-8092 ;EISSN: 1432-1769 ;DOI: 10.1007/s00138-015-0731-9

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