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1
Predicting rockburst damage scale in seismically active mines using a classifier ensemble approach
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Predicting rockburst damage scale in seismically active mines using a classifier ensemble approach

IOP conference series. Earth and environmental science, 2023-01, Vol.1124 (1), p.12102 [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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/1124/1/012102

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2
Research on complaint prediction based on feature weighted Naive Bayes
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Research on complaint prediction based on feature weighted Naive Bayes

IOP conference series. Earth and environmental science, 2022-02, Vol.983 (1), p.12117 [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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/983/1/012117

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3
Analyzing the Effectiveness of Support Vector Machine and Random Forest Classifiers in Delineating the Green Area
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Analyzing the Effectiveness of Support Vector Machine and Random Forest Classifiers in Delineating the Green Area

IOP conference series. Earth and environmental science, 2023-07, Vol.1217 (1), p.12032 [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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/1217/1/012032

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4
AI-based approach to predict nozzle instability in Pelton turbine model test
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AI-based approach to predict nozzle instability in Pelton turbine model test

IOP conference series. Earth and environmental science, 2022-09, Vol.1079 (1), p.12005 [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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/1079/1/012005

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5
Semi-supervised classification of hyperspectral images based on two branch autoencoder
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Semi-supervised classification of hyperspectral images based on two branch autoencoder

IOP conference series. Earth and environmental science, 2020-05, Vol.502 (1), p.12014 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. 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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/502/1/012014

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6
Travel-mode classification based on GPS-trajectory data and geographic information using an XGBoost classifier
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Article
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Travel-mode classification based on GPS-trajectory data and geographic information using an XGBoost classifier

IOP conference series. Earth and environmental science, 2022-03, Vol.1004 (1), p.12012 [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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/1004/1/012012

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7
Predicting the Quality of Pineapple Using the Naive Bayes Classifier Method
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Article
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Predicting the Quality of Pineapple Using the Naive Bayes Classifier Method

IOP conference series. Earth and environmental science, 2022-04, Vol.1012 (1), p.12088 [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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/1012/1/012088

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8
Stand species identification using GF-2 imagery and airborne LiDAR data based on SVM classifier
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Article
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Stand species identification using GF-2 imagery and airborne LiDAR data based on SVM classifier

IOP conference series. Earth and environmental science, 2020-05, Vol.502 (1), p.12045 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. 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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/502/1/012045

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9
Artificial intelligence approach to depositional facies characterization based on electrical log data
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Artificial intelligence approach to depositional facies characterization based on electrical log data

IOP conference series. Earth and environmental science, 2021-10, Vol.851 (1), p.12035 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. 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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/851/1/012035

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10
Bridge anomaly data identification method based on statistical feature mixture and data augmentation through forwarding difference
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Article
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Bridge anomaly data identification method based on statistical feature mixture and data augmentation through forwarding difference

IOP conference series. Earth and environmental science, 2021-06, Vol.791 (1), p.12030 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. 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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/791/1/012030

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11
Coastlines estimation and erosion rate assessment in Tuba Island, Langkawi using remotely-sensed digital imageries analysis
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Article
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Coastlines estimation and erosion rate assessment in Tuba Island, Langkawi using remotely-sensed digital imageries analysis

IOP conference series. Earth and environmental science, 2023-09, Vol.1240 (1), p.12018 [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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/1240/1/012018

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12
Processing of high-clayed fine-gold-bearing sands
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Article
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Processing of high-clayed fine-gold-bearing sands

IOP conference series. Earth and environmental science, 2021-05, Vol.773 (1), p.12086 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. 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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/773/1/012086

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13
Identifying of unripe Ambon and Hijau banana fruits using computer vision and extreme learning machine classifier
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Article
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Identifying of unripe Ambon and Hijau banana fruits using computer vision and extreme learning machine classifier

IOP conference series. Earth and environmental science, 2022-01, Vol.951 (1), p.12031 [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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/951/1/012031

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14
Mapping of Shorea kunstleri King in mixed dipterocarp forest using remote sensing technology
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Article
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Mapping of Shorea kunstleri King in mixed dipterocarp forest using remote sensing technology

IOP conference series. Earth and environmental science, 2022-11, Vol.1102 (1), p.12009 [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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/1102/1/012009

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15
Predictability of Naïve Bayes classifier for lahar hazard mapping by weather radar
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Article
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Predictability of Naïve Bayes classifier for lahar hazard mapping by weather radar

IOP conference series. Earth and environmental science, 2020-02, Vol.437 (1), p.12049 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. 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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/437/1/012049

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16
Improving prediction accuracy of classification model using cascading ensemble classifiers
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Article
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Improving prediction accuracy of classification model using cascading ensemble classifiers

IOP conference series. Earth and environmental science, 2019-07, Vol.299 (1), p.12025 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2019. 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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/299/1/012025

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17
An empirical study of the performance of two stage optimal ensemble classification using genetic algorithm
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Article
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An empirical study of the performance of two stage optimal ensemble classification using genetic algorithm

IOP conference series. Earth and environmental science, 2019-07, Vol.299 (1), p.12024 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2019. 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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/299/1/012024

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18
Comparison of pixel-based and object-based image classification techniques in extracting information from UAV imagery data
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Article
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Comparison of pixel-based and object-based image classification techniques in extracting information from UAV imagery data

IOP conference series. Earth and environmental science, 2018-06, Vol.169 (1), p.12098 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2018. 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: 1755-1307 ;ISSN: 1755-1315 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/169/1/012098

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19
Evaluation The Accuracy of Oil Palm Tree Detection Using Deep Learning and Support Vector Machine Classifiers
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Article
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Evaluation The Accuracy of Oil Palm Tree Detection Using Deep Learning and Support Vector Machine Classifiers

IOP conference series. Earth and environmental science, 2022-07, Vol.1051 (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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/1051/1/012028

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20
Detection and classification of land cover change using ISOCLUST classifier and Land Change Modeler
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Article
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Detection and classification of land cover change using ISOCLUST classifier and Land Change Modeler

IOP conference series. Earth and environmental science, 2022-07, Vol.1064 (1), p.12025 [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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/1064/1/012025

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