Comparative analysis of seven machine learning algorithms and five empirical models to estimate soil thermal conductivity

Estimation of Soil Cohesion Using Machine Learning Method: A Random Forest Approach

(2021) Hai-Bang Ly et al.   Advances in Civil Engineering

Modeling thermal conductivity of clays: A review and evaluation of 28 predictive models

(2021) Lanmin Liu et al.   ENGINEERING GEOLOGY

Estimating catchment scale soil moisture at a high spatial resolution: Integrating remote sensing and machine learning

(2021) I.P. Senanayake et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Automated invasive cervical cancer disease detection at early stage through suitable machine learning model

(2021) Sohely Jahan et al.   SN Applied Sciences

Novel Machine Learning for Big Data Analytics in Intelligent Support Information Management Systems

(2021) Zhihan Lv et al.   ACM Transactions on Management Information Systems

The conversion of forestland into agricultural land without appropriate measures to conserve SOM leads to the degradation of physical and rheological soil properties

(2020) Miodrag Tolimir et al.   Scientific Reports

Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United States

(2020) Xiang Ren et al.   ENVIRONMENT INTERNATIONAL

A unified soil thermal conductivity model based on artificial neural network

(2020) Nan Zhang et al.   INTERNATIONAL JOURNAL OF THERMAL SCIENCES

Medium Energy Electron Flux in Earth's Outer Radiation Belt (MERLIN): A Machine Learning Model

(2020) A. G. Smirnov et al.   SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS

Room for improvement: A review and evaluation of 24 soil thermal conductivity parameterization schemes commonly used in land-surface, hydrological, and soil-vegetation-atmosphere transfer models

(2020) Hailong He et al.   EARTH-SCIENCE REVIEWS

Optimization Analysis of Smart Steel-Plastic Geogrid Support for Tunnel

(2020) Qin Liu et al.   Advances in Civil Engineering

Introducing thermal inertia for monitoring snowmelt processes with remote sensing

(2019) R. Colombo et al.   GEOPHYSICAL RESEARCH LETTERS

Using Machine Learning for Prediction of Saturated Hydraulic Conductivity and Its Sensitivity to Soil Structural Perturbations

(2019) Samuel N. Araya et al.   WATER RESOURCES RESEARCH

A new thermal conductivity model for sandy and peat soils

(2019) Ying Zhao et al.   AGRICULTURAL AND FOREST METEOROLOGY

Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction

(2019) Hanna Meyer et al.   ECOLOGICAL MODELLING

A generalized model for estimating effective soil thermal conductivity based on the Kasubuchi algorithm

(2019) Hengnian Yan et al.   GEODERMA

Subsampling bias and the best-discrepancy systematic cross validation

(2019) Liang Guo et al.   Science China-Mathematics

Assessment of soil thermal conduction using artificial neural network models

(2019) Tao Zhang et al.   COLD REGIONS SCIENCE AND TECHNOLOGY

Evaluation of calculation models for the thermal conductivity of soils

(2018) Mingyi Zhang et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Test method and application for microstructures of undisturbed silty sand and sandy silt

(2018) Yiqun Tang et al.   Environmental Earth Sciences

Machine learning for molecular and materials science

(2018) Keith T. Butler et al.   NATURE

Soil Bulk Density Estimation Methods: A Review

(2018) Ahmed Abed Gatea AL-SHAMMARY et al.   PEDOSPHERE

Development and application of the heat pulse method for soil physical measurements

(2018) Hailong He et al.   REVIEWS OF GEOPHYSICS

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

(2017) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

High-throughput screening of bimetallic catalysts enabled by machine learning

(2017) Zheng Li et al.   Journal of Materials Chemistry A

An Empirical Model for Estimating Soil Thermal Conductivity from Soil Water Content and Porosity

(2016) Bing Tong et al.   JOURNAL OF HYDROMETEOROLOGY

Classification evaluation

(2016) Jake Lever et al.   NATURE METHODS

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Canadian Field Soils III. Thermal-Conductivity Data and Modeling

(2014) V. R. Tarnawski et al.   INTERNATIONAL JOURNAL OF THERMOPHYSICS

A comparison of Gaussian process regression, random forests and support vector regression for burn severity assessment in diseased forests

(2014) Carolynne Hultquist et al.   Remote Sensing Letters

Canadian Field Soils II. Modeling of Quartz Occurrence

(2012) V. R. Tarnawski et al.   INTERNATIONAL JOURNAL OF THERMOPHYSICS

Parameterizing soil organic carbon’s impacts on soil porosity and thermal parameters for Eastern Tibet grasslands

(2012) YingYing Chen et al.   Science China-Earth Sciences

A method to estimate the water vapour enhancement factor in soil

(2011) S. Lu et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Single- and Dual-Probe Heat Pulse Probe for Determining Thermal Properties of Dry Soils

(2011) Gang Liu et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Estimation of reference bulk density from soil particle size distribution and soil organic matter content

(2009) Thomas Keller et al.   GEODERMA

Assessing the impact of quartz content on the prediction of soil thermal conductivity

(2009) V. R. Tarnawski et al.   GEOTECHNIQUE