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1
Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis
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Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis

Martha, T. R. ; Kerle, N. ; van Westen, C. J. ; Jetten, V. ; Kumar, K. V.

IEEE transactions on geoscience and remote sensing, 2011-12, Vol.49 (12), p.4928-4943 [Periódico revisado por pares]

New York, NY: IEEE

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2
Hydrochemical characteristics and water quality assessment of surface water and groundwater in Songnen plain, Northeast China
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Hydrochemical characteristics and water quality assessment of surface water and groundwater in Songnen plain, Northeast China

Zhang, Bing ; Song, Xianfang ; Zhang, Yinghua ; Han, Dongmei ; Tang, Changyuan ; Yu, Yilei ; Ma, Ying

Water research (Oxford), 2012-05, Vol.46 (8), p.2737-2748 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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3
Multivariate statistical analysis of geochemical data as indicative of the hydrogeochemical evolution of groundwater in a sedimentary rock aquifer system
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Multivariate statistical analysis of geochemical data as indicative of the hydrogeochemical evolution of groundwater in a sedimentary rock aquifer system

Cloutier, Vincent ; Lefebvre, René ; Therrien, René ; Savard, Martine M.

Journal of hydrology (Amsterdam), 2008-05, Vol.353 (3), p.294-313 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
Introduction of the GAM model for regional low-flow frequency analysis at ungauged basins and comparison with commonly used approaches
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Introduction of the GAM model for regional low-flow frequency analysis at ungauged basins and comparison with commonly used approaches

Ouarda, T.B.M.J. ; Charron, C. ; Hundecha, Y. ; St-Hilaire, A. ; Chebana, F.

Environmental modelling & software : with environment data news, 2018-11, Vol.109, p.256-271 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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5
CANet: An Unsupervised Deep Convolutional Neural Network for Efficient Cluster-Analysis-Based Multibaseline InSAR Phase Unwrapping
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CANet: An Unsupervised Deep Convolutional Neural Network for Efficient Cluster-Analysis-Based Multibaseline InSAR Phase Unwrapping

Zhou, Lifan ; Yu, Hanwen ; Lan, Yang ; Gong, Shengrong ; Xing, Mengdao

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-15 [Periódico revisado por pares]

New York: IEEE

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6
An inter-comparison of similarity-based methods for organisation and classification of groundwater hydrographs
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An inter-comparison of similarity-based methods for organisation and classification of groundwater hydrographs

Haaf, Ezra ; Barthel, Roland

Journal of hydrology (Amsterdam), 2018-04, Vol.559, p.222-237 [Periódico revisado por pares]

Elsevier B.V

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7
Essential Oil Quality and Purity Evaluation via FT-IR Spectroscopy and Pattern Recognition Techniques
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Essential Oil Quality and Purity Evaluation via FT-IR Spectroscopy and Pattern Recognition Techniques

Agatonovic-Kustrin, Snezana ; Ristivojevic, Petar ; Gegechkori, Vladimir ; Litvinova, Tatiana M. ; W. Morton, David

Applied sciences, 2020-10, Vol.10 (20), p.7294 [Periódico revisado por pares]

Basel: MDPI AG

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8
Assessment of Stem Volume on Plots Using Terrestrial Laser Scanner: A Precision Forestry Application
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Assessment of Stem Volume on Plots Using Terrestrial Laser Scanner: A Precision Forestry Application

Panagiotidis, Dimitrios ; Abdollahnejad, Azadeh ; Slavík, Martin

Sensors (Basel, Switzerland), 2021-01, Vol.21 (1), p.301 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
Effects of ultrahigh permittivity ceramic on water freezing by high voltage electric field-assisted freezing system
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Effects of ultrahigh permittivity ceramic on water freezing by high voltage electric field-assisted freezing system

Wang, Qijun ; Wang, Lishuang ; Tian, You ; Zhu, Zhiwei ; Sun, Da-Wen

International journal of refrigeration, 2021-08, Vol.128, p.271-280 [Periódico revisado por pares]

Paris: Elsevier Ltd

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10
Probabilistic Prediction for Monthly Streamflow through Coupling Stepwise Cluster Analysis and Quantile Regression Methods
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Probabilistic Prediction for Monthly Streamflow through Coupling Stepwise Cluster Analysis and Quantile Regression Methods

Fan, Y. R. ; Huang, G. H. ; Li, Y. P. ; Wang, X. Q. ; Li, Z.

Water resources management, 2016-11, Vol.30 (14), p.5313-5331 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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