Modelling of soil moisture retention curve using machine learning techniques: Artificial and deep neural networks vs support vector regression models (English)
- New search for: Achieng, Kevin O.
- Further information on Achieng, Kevin O.:
- https://orcid.org/0000-0001-7815-9095
- New search for: Achieng, Kevin O.
- Further information on Achieng, Kevin O.:
- https://orcid.org/0000-0001-7815-9095
In:
Computers and Geosciences
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133
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2019
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Modelling of soil moisture retention curve using machine learning techniques: Artificial and deep neural networks vs support vector regression models
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Contributors:Achieng, Kevin O. ( author )
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Published in:
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Publisher:
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Publication date:2019-09-06
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 133
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Adaptive Importance Sampling Unscented Kalman Filter based SAR image super resolutionKanakaraj, Sithara / Nair, Madhu S. / Kalady, Saidalavi et al. | 2019
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Cartesian to geodetic coordinates conversion on an oblate spheroid using the bisection methodPanou, Georgios et al. | 2019
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An interval Type-2 fuzzy sets generation method for remote sensing imagery classificationXing, Haihua / He, Hui / Hu, Dan / Jiang, Tao / Yu, Xianchuan et al. | 2019
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Direct Numerical Simulations of turbidity currents with Evolutive Deposit Method, considering topography updates during the simulationLucchese, Luísa Vieira / Monteiro, Leonardo Romero / Schettini, Edith Beatriz Camano / Silvestrini, Jorge Hugo et al. | 2019
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Stable recurrent calculation of isotropic Gaussian filter coefficientsPiretzidis, Dimitrios / Sideris, Michael G. et al. | 2019
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Small baseline InSAR time series analysis: Unwrapping error correction and noise reductionYunjun, Zhang / Fattahi, Heresh / Amelung, Falk et al. | 2019
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Dynamically Optimized Unstructured Grid (DOUG) for Analog Ensemble of numerical weather predictions using evolutionary algorithmsHu, Weiming / Cervone, Guido et al. | 2019
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A new algorithm for redundancy minimisation in geo-environmental dataLaib, Mohamed / Kanevski, Mikhail et al. | 2019
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Modelling fluid flow in karst reservoirs using Darcy Model with estimated permeability distributionYoussef, AbdAllah A. / Awotunde, Abeeb A. et al. | 2019
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ASFit - An all-inclusive tool for analysis of UV–Vis spectra of colored dissolved organic matter (CDOM)Omanović, Dario / Santinelli, Chiara / Marcinek, Saša / Gonnelli, Margherita et al. | 2019
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Publisher's note| 2019
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An automatic recognition method of microseismic signals based on EEMD-SVD and ELMZhang, Jinyong / Jiang, Ruochen / Li, Biao / Xu, Nuwen et al. | 2019
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Producing marine geophysical archive files from raw underway dataHamilton, Michael / Wessel, Paul / Taylor, Brian / Luis, Joaquim et al. | 2019
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Efficient transformation from Cartesian to geodetic coordinatesClaessens, S.J. et al. | 2019
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An algorithmic framework for investigating the temporal relationship of magnetic field pulses and earthquakes applied to CaliforniaKappler, K.N. / Schneider, D.D. / MacLean, L.S. / Bleier, T.E. / Lemon, J.J. et al. | 2019
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Generation of unstructured meshes in 2-D, 3-D, and spherical geometries with embedded high-resolution sub-regionsTaramón, Jorge M. / Morgan, Jason P. / Shi, Chao / Hasenclever, Jörg et al. | 2019
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A library of BASIC scripts of reaction rates for geochemical modeling using phreeqcZhang, Yilun / Hu, Bin / Teng, Yanguo / Tu, Kevin / Zhu, Chen et al. | 2019
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Noisy Dispersion Curve Picking (NDCP): A Matlab package for group velocity dispersion picking of seismic surface wavesGranados, Iván / Calò, Marco / Ramos, Valente et al. | 2019
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Virtual BUOY: A video-based approach for measuring near-shore wave peak periodOsorio, Andrés F. / Montoya-Vargas, Sebastian / Cartagena, Cesar A. / Espinosa, Jairo / Orfila, Alejandro / Winter, Christian et al. | 2019
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Bayesian Biclustering by dynamics: A clustering algorithm for SAGD time series dataPinto, Helen / Gates, Ian / Wang, Xin et al. | 2019
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Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?Laloy, Eric / Linde, Niklas / Ruffino, Cyprien / Hérault, Romain / Gasso, Gilles / Jacques, Diederik et al. | 2019
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Modelling of soil moisture retention curve using machine learning techniques: Artificial and deep neural networks vs support vector regression modelsAchieng, Kevin O. et al. | 2019
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Landslide susceptibility mapping using an automatic sampling algorithm based on two level random samplingAktas, Hakan / San, Bekir Taner et al. | 2019
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5D geostatistics for directional variables: Application in geotechnics to the simulation of the linear discontinuity frequencySánchez, L. Katherine / Emery, Xavier / Séguret, Serge A. et al. | 2019
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Measuring rock surface strength based on spectrograms with deep convolutional networksHan, Shuai / Li, Heng / Li, Mingchao / Luo, Xiaochun et al. | 2019
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Low field frequency dependent magnetic susceptibility inversionUstra, Andrea / Mendonça, Carlos / Leite, Aruã / Jaqueto, Plinio / Novello, Valdir Felipe et al. | 2019
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CT-image of rock samples super resolution using 3D convolutional neural networkWang, Yukai / Teng, Qizhi / He, Xiaohai / Feng, Junxi / Zhang, Tingrong et al. | 2019
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Using Delaunay triangulation and cluster analysis to determine the orientation of a sub-horizontal and noise including contact in Kraków-Silesian Homocline, PolandMichalak, Michał P. / Bardziński, Waldemar / Teper, Leslaw / Małolepszy, Zbigniew et al. | 2019