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1	Material Type: Article	Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (7), p.886 [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/rs11070886 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (3), p.574 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14030574 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images Remote sensing (Basel, Switzerland), 2019-05, Vol.11 (9), p.1136 [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/rs11091136 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Robust Classification Technique for Hyperspectral Images Based on 3D-Discrete Wavelet Transform Remote sensing (Basel, Switzerland), 2021-04, Vol.13 (7), p.1255 [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 (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/rs13071255 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Using Machine Learning and Molecular Docking to Leverage Urease Inhibition Data for Virtual Screening International journal of molecular sciences, 2023-05, Vol.24 (9), p.8180 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;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. ;2023 by the authors. 2023 ;ISSN: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms24098180 ;PMID: 37175889 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Predicting river water quality index using data mining techniques Environmental earth sciences, 2017-07, Vol.76 (14), p.1-15, Article 504 [Peer Reviewed Journal] Springer-Verlag GmbH Germany 2017 ;Environmental Earth Sciences is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1866-6280 ;EISSN: 1866-6299 ;DOI: 10.1007/s12665-017-6845-9 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Rainfall Prediction Rate in Saudi Arabia Using Improved Machine Learning Techniques Water (Basel), 2023-02, Vol.15 (4), p.826 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;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: 2073-4441 ;EISSN: 2073-4441 ;DOI: 10.3390/w15040826 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	RFCM-PALM: In-Silico Prediction of S-Palmitoylation Sites in the Synaptic Proteins for Male/Female Mouse Data International journal of molecular sciences, 2021-09, Vol.22 (18), p.9901 [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: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms22189901 ;PMID: 34576064 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Structural Dynamics Predominantly Determine the Adaptability of Proteins to Amino Acid Deletions International journal of molecular sciences, 2023-05, Vol.24 (9), p.8450 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;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. ;2023 by the authors. 2023 ;ISSN: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms24098450 ;PMID: 37176156 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Identifying and interpreting extreme rainfall events using image classification Journal of hydroinformatics, 2021-11, Vol.23 (6), p.1214-1223 [Peer Reviewed Journal] Copyright IWA Publishing Nov 2021 ;ISSN: 1464-7141 ;EISSN: 1465-1734 ;DOI: 10.2166/hydro.2021.030 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Domain Adversarial Neural Networks for Large-Scale Land Cover Classification Remote sensing (Basel, Switzerland), 2019-05, Vol.11 (10), p.1153 [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/rs11101153 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	A Novel Fully Automated Mapping of the Flood Extent on SAR Images Using a Supervised Classifier Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (7), p.779 [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/rs11070779 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Comparison of Different Cropland Classification Methods under Diversified Agroecological Conditions in the Zambezi River Basin Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (13), p.2096 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12132096 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Optimal Timing Assessment for Crop Separation Using Multispectral Unmanned Aerial Vehicle (UAV) Data and Textural Features Remote sensing (Basel, Switzerland), 2019-08, Vol.11 (15), p.1780 [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/rs11151780 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Random Forest Classifier for Cloud Clearing of the Operational TROPOMI XCH4 Product Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (7), p.1208 [Peer Reviewed Journal] 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. ;EISSN: 2072-4292 ;DOI: 10.3390/rs16071208 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Comparison of Hyperspectral Techniques for Urban Tree Diversity Classification Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1269 [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. ;Attribution ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11111269 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Identifying Mangrove Species Using Field Close-Range Snapshot Hyperspectral Imaging and Machine-Learning Techniques Remote sensing (Basel, Switzerland), 2018-12, Vol.10 (12), p.2047 [Peer Reviewed Journal] 2018. 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/rs10122047 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (13), p.1565 [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/rs11131565 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Residue–Residue Interaction Prediction via Stacked Meta-Learning International journal of molecular sciences, 2021-06, Vol.22 (12), p.6393 [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: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms22126393 ;PMID: 34203772 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	A Reference-Free Method for the Thematic Accuracy Estimation of Global Land Cover Products Based on the Triple Collocation Approach Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (9), p.2255 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;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/rs15092255 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 191 for All Library Resources

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/rs11070886

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/rs11091136

Springer-Verlag GmbH Germany 2017 ;Environmental Earth Sciences is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1866-6280 ;EISSN: 1866-6299 ;DOI: 10.1007/s12665-017-6845-9

Copyright IWA Publishing Nov 2021 ;ISSN: 1464-7141 ;EISSN: 1465-1734 ;DOI: 10.2166/hydro.2021.030

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/rs11101153

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/rs11070779

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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12132096

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/rs11151780

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. ;Attribution ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11111269

2018. 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/rs10122047

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/rs11131565

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