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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
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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

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2
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
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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

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3
Multiclass wound image classification using an ensemble deep CNN-based classifier
Multiclass wound image classification using an ensemble deep CNN-based classifier
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Multiclass wound image classification using an ensemble deep CNN-based classifier

Computers in biology and medicine, 2021-07, Vol.134, p.104536-104536, Article 104536 [Peer Reviewed Journal]

2021 ;Copyright Elsevier Limited Jul 2021 ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104536

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4
Automatic Detection and Classification of Lung Nodules in CT Image Using Optimized Neuro Fuzzy Classifier with Cuckoo Search Algorithm
Automatic Detection and Classification of Lung Nodules in CT Image Using Optimized Neuro Fuzzy Classifier with Cuckoo Search Algorithm
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Automatic Detection and Classification of Lung Nodules in CT Image Using Optimized Neuro Fuzzy Classifier with Cuckoo Search Algorithm

Journal of medical systems, 2019-03, Vol.43 (3), p.77-9, Article 77 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Journal of Medical Systems is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0148-5598 ;EISSN: 1573-689X ;DOI: 10.1007/s10916-019-1177-9 ;PMID: 30758682

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5
Short-Term Traffic Congestion Prediction Using Hybrid Deep Learning Technique
Short-Term Traffic Congestion Prediction Using Hybrid Deep Learning Technique
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Short-Term Traffic Congestion Prediction Using Hybrid Deep Learning Technique

Sustainability (Basel, Switzerland), 2023-01, Vol.15 (1), p.74 [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. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su15010074

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6
Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and Machine Learning Classifiers
Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and Machine Learning Classifiers
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Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and Machine Learning Classifiers

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1380 [Peer Reviewed Journal]

2019. 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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11111380

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7
DISOPRED3: precise disordered region predictions with annotated protein-binding activity
DISOPRED3: precise disordered region predictions with annotated protein-binding activity
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DISOPRED3: precise disordered region predictions with annotated protein-binding activity

Bioinformatics, 2015-03, Vol.31 (6), p.857-863 [Peer Reviewed Journal]

The Author 2014. Published by Oxford University Press. ;The Author 2014. Published by Oxford University Press. 2014 ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;EISSN: 1460-2059 ;DOI: 10.1093/bioinformatics/btu744 ;PMID: 25391399

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8
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
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A hybrid decision support system for automatic detection of Schizophrenia using EEG signals

Computers in biology and medicine, 2022-02, Vol.141, p.105028-105028, Article 105028 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.105028 ;PMID: 34836626

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9
Deep learning models for electrocardiograms are susceptible to adversarial attack
Deep learning models for electrocardiograms are susceptible to adversarial attack
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Deep learning models for electrocardiograms are susceptible to adversarial attack

Nature medicine, 2020-03, Vol.26 (3), p.360-363 [Peer Reviewed Journal]

COPYRIGHT 2020 Nature Publishing Group ;COPYRIGHT 2020 Nature Publishing Group ;2020© The Author(s), under exclusive licence to Springer Nature America, Inc. 2020 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-020-0791-x ;PMID: 32152582

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10
Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers
Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers
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Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers

Remote sensing (Basel, Switzerland), 2019-12, Vol.11 (23), p.2788 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11232788

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11
Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion
Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion
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Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion

Computers in biology and medicine, 2020-09, Vol.124, p.103954-103954, Article 103954 [Peer Reviewed Journal]

2020 Elsevier Ltd ;Copyright © 2020 Elsevier Ltd. All rights reserved. ;2020. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2020.103954 ;PMID: 32777599

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12
Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand
Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand
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Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand

International journal of environmental research and public health, 2022-06, Vol.19 (13), p.7979 [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: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph19137979 ;PMID: 35805634

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13
Object-Based Change Detection Using Multiple Classifiers and Multi-Scale Uncertainty Analysis
Object-Based Change Detection Using Multiple Classifiers and Multi-Scale Uncertainty Analysis
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Object-Based Change Detection Using Multiple Classifiers and Multi-Scale Uncertainty Analysis

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (3), p.359 [Peer Reviewed Journal]

2019. 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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11030359

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14
Machine learning approaches outperform distance- and tree-based methods for DNA barcoding of Pterocarpus wood
Machine learning approaches outperform distance- and tree-based methods for DNA barcoding of Pterocarpus wood
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Machine learning approaches outperform distance- and tree-based methods for DNA barcoding of Pterocarpus wood

Planta, 2019-05, Vol.249 (5), p.1617-1625 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Planta is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0032-0935 ;EISSN: 1432-2048 ;DOI: 10.1007/s00425-019-03116-3 ;PMID: 30825008

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15
An embedded feature selection method based on generalized classifier neural network for cancer classification
An embedded feature selection method based on generalized classifier neural network for cancer classification
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An embedded feature selection method based on generalized classifier neural network for cancer classification

Computers in biology and medicine, 2024-01, Vol.168, p.107677-107677, Article 107677 [Peer Reviewed Journal]

Copyright © 2023 Elsevier Ltd. All rights reserved. ;2023. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2023.107677 ;PMID: 37988786

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16
Neuroimaging feature extraction using a neural network classifier for imaging genetics
Neuroimaging feature extraction using a neural network classifier for imaging genetics
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Neuroimaging feature extraction using a neural network classifier for imaging genetics

BMC bioinformatics, 2023-06, Vol.24 (1), p.271-271, Article 271 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. 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. ;The Author(s) 2023 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-023-05394-x ;PMID: 37391692

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17
Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery
Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery
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Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.245 [Peer Reviewed Journal]

2020 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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12020245

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18
Spectral–Spatial Graph Convolutional Network with Dynamic-Synchronized Multiscale Features for Few-Shot Hyperspectral Image Classification
Spectral–Spatial Graph Convolutional Network with Dynamic-Synchronized Multiscale Features for Few-Shot Hyperspectral Image Classification
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Spectral–Spatial Graph Convolutional Network with Dynamic-Synchronized Multiscale Features for Few-Shot Hyperspectral Image Classification

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (5), p.895 [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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs16050895

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19
Sustainable Wearable System: Human Behavior Modeling for Life-Logging Activities Using K-Ary Tree Hashing Classifier
Sustainable Wearable System: Human Behavior Modeling for Life-Logging Activities Using K-Ary Tree Hashing Classifier
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Sustainable Wearable System: Human Behavior Modeling for Life-Logging Activities Using K-Ary Tree Hashing Classifier

Sustainability (Basel, Switzerland), 2020-12, Vol.12 (24), p.10324 [Peer Reviewed Journal]

2020 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. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su122410324

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20
COVID-19 cough classification using machine learning and global smartphone recordings
COVID-19 cough classification using machine learning and global smartphone recordings
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COVID-19 cough classification using machine learning and global smartphone recordings

Computers in biology and medicine, 2021-08, Vol.135, p.104572-104572, Article 104572 [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.2021.104572 ;PMID: 34182331

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