Evaluation of Machine Learning Methods in Digital Mapping of Soil Organic Carbon (part of Khorramabad Plain)

Journal of Water and Soil Science ◽

10.47176/jwss.24.4.8411 ◽

2021 ◽

Vol 24 (4) ◽

Keyword(s):

Machine Learning ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Learning Methods ◽

Digital Mapping ◽

Machine Learning Methods

Download Full-text

High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms

The Science of The Total Environment ◽

10.1016/j.scitotenv.2020.138244 ◽

2020 ◽

Vol 729 ◽

pp. 138244 ◽

Author(s):

Tao Zhou ◽

Yajun Geng ◽

Jie Chen ◽

Jianjun Pan ◽

Dagmar Haase ◽

...

Keyword(s):

Machine Learning ◽

High Resolution ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Total Nitrogen ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Soil Total Nitrogen ◽

Digital Mapping ◽

Download Full-text

The large scale digital mapping of soil organic carbon using machine learning algorithms

Dokuchaev Soil Bulletin ◽

10.19047/0136-1694-2018-91-46-62 ◽

2018 ◽

Vol 91 ◽

pp. 46-62 ◽

Author(s):

A. V. Chinilin ◽

◽

I. Yu. Savin ◽

Keyword(s):

Machine Learning ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Large Scale ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Digital Mapping

Download Full-text

Improving satellite retrieval of oceanic particulate organic carbon concentrations using machine learning methods

Remote Sensing of Environment ◽

10.1016/j.rse.2021.112316 ◽

2021 ◽

Vol 256 ◽

pp. 112316

Author(s):

Huizeng Liu ◽

Qingquan Li ◽

Yan Bai ◽

Chao Yang ◽

Junjie Wang ◽

...

Keyword(s):

Machine Learning ◽

Organic Carbon ◽

Particulate Organic Carbon ◽

Learning Methods ◽

Machine Learning Methods ◽

Satellite Retrieval ◽

Carbon Concentrations

Download Full-text

Estimating soil organic carbon stocks using machine learning methods in the semi-arid rangelands of New South Wales

Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (eds) MODSIM2017, 22nd International Congress on Modelling and Simulation. ◽

10.36334/modsim.2017.g1.wang ◽

2017 ◽

Keyword(s):

Machine Learning ◽

Organic Carbon ◽

Soil Organic Carbon ◽

New South ◽

Carbon Stocks ◽

Machine Learning Methods ◽

South Wales ◽

Soil Organic Carbon Stocks ◽

Arid Rangelands ◽

Download Full-text

Supplementary material to "High-resolution digital mapping of soil organic carbon in permafrost terrain using machine-learning: A case study in a sub-Arctic peatland environment"

10.5194/bg-2017-323-supplement ◽

2017 ◽

Author(s):

Matthias B. Siewert

Keyword(s):

Machine Learning ◽

High Resolution ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Digital Mapping ◽

Supplementary Material

Download Full-text

Review of Siewert (2017), High-resolution digital mapping of soil organic carbon in permafrost terrain using machine-learning: A case study in a sub-Arctic peatland environment

10.5194/bg-2017-323-rc3 ◽

2017 ◽

Author(s):

Anonymous

Keyword(s):

Machine Learning ◽

High Resolution ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Digital Mapping

Download Full-text

Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases

10.3389/978-2-88966-274-6 ◽

2020 ◽

Keyword(s):

Machine Learning ◽

Big Data ◽

Hereditary Diseases ◽

Learning Methods ◽

Machine Learning Methods ◽

Interpretable Machine Learning

Download Full-text

Application of machine learning methods for automatic interpretation of open hole logging data

Neftyanoe khozyaystvo - Oil Industry ◽

10.24887/0028-2448-2020-11-44-47 ◽

2020 ◽

pp. 44-47

Author(s):

M.A. Basyrov ◽

◽

A.V. Akinshin ◽

I.R. Makhmutov ◽

Yu.D. Kantemirov ◽

...

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods ◽

Automatic Interpretation ◽

Download Full-text

TESTING PREDICTION ACCURACY OF HDU ADMISSION FOLLOWING HIGH GRADE SEROUS ADVANCED OVARIAN CANCER CYTOREDUCTIVE SURGERY USING MACHINE LEARNING METHODS.

10.26226/morressier.5fa3ee5d55b1fd4cc4dd93d7 ◽

2020 ◽

Author(s):

Alexandros Laios ◽

Angelika Kaufmann ◽

Mohamed Otify ◽

Diederick De Jong ◽

Tim Broadhead ◽

...

Keyword(s):

Machine Learning ◽

Ovarian Cancer ◽

Cytoreductive Surgery ◽

Prediction Accuracy ◽

Advanced Ovarian Cancer ◽

Learning Methods ◽

Machine Learning Methods

Download Full-text

Evolution of Machine Learning Methods for Memography Classification

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i3.499502 ◽

2018 ◽

Vol 6 (3) ◽

pp. 499-502

Author(s):

R. Swathi ◽

◽

R. Seshadri ◽

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods

Download Full-text