New empirical equation to estimate the soil moisture content based on thermal properties using machine learning techniques
出版年份 2020 全文链接
标题
New empirical equation to estimate the soil moisture content based on thermal properties using machine learning techniques
作者
关键词
-
出版物
Arabian Journal of Geosciences
Volume 13, Issue 10, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-05-18
DOI
10.1007/s12517-020-05375-x
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Investigating the necessity of in-situ and laboratory data in determining thermal properties of tar sands, an experimental design approach
- (2020) Kehinde Adegbola et al. JOURNAL OF KING SAUD UNIVERSITY SCIENCE
- Comparative analysis of artificial intelligence techniques for formation pressure prediction while drilling
- (2019) Abdulmalek Ahmed et al. Arabian Journal of Geosciences
- Permeability prediction for carbonate reservoir using a data-driven model comprising deep learning network, particle swarm optimization, and support vector regression: a case study of the LULA oilfield
- (2019) Yufeng Gu et al. Arabian Journal of Geosciences
- A deep learning-based multi-model ensemble method for cancer prediction
- (2018) Yawen Xiao et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches
- (2018) Tamer Moussa et al. JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
- Accurate prediction of miscibility of CO 2 and supercritical CO 2 in ionic liquids using machine learning
- (2018) Mohammad Mesbah et al. Journal of CO2 Utilization
- Predicting moisture content of soil from thermal properties using artificial neural network
- (2018) Oluseun Adetola Sanuade et al. Arabian Journal of Geosciences
- Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network
- (2017) Ahmed Abdulhamid A. Mahmoud et al. INTERNATIONAL JOURNAL OF COAL GEOLOGY
- Review of soil thermal conductivity and predictive models
- (2017) Nan Zhang et al. INTERNATIONAL JOURNAL OF THERMAL SCIENCES
- Moisture content prediction in poultry litter using artificial intelligence techniques and Monte Carlo simulation to determine the economic yield from energy use
- (2017) José Octavio Rico-Contreras et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Identifying Irrigation Strategies for Improved Agricultural Water Productivity in Irrigated Maize Production through Crop Simulation Modelling
- (2017) Geneille E. Greaves et al. Sustainability
- Artificial intelligence in healthcare: past, present and future
- (2017) Fei Jiang et al. JOURNAL OF INVESTIGATIVE MEDICINE
- Assessment of some soil thermal conductivity models via variations in temperature and bulk density at low moisture range
- (2016) Seyed Mohamad Mahdavi et al. EURASIAN SOIL SCIENCE
- Effect of Moisture Content on Thermal Properties of Porous Building Materials
- (2016) Václav Kočí et al. INTERNATIONAL JOURNAL OF THERMOPHYSICS
- Real time prediction of drilling fluid rheological properties using Artificial Neural Networks visible mathematical model (white box)
- (2016) Salaheldin Elkatatny et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Toward reliable model for prediction Drilling Fluid Density at wellbore conditions: A LSSVM model
- (2016) Mohammad Ali Ahmadi NEUROCOMPUTING
- Artificial neural network based modeling and optimization of refined palm oil process
- (2016) N. Tehlah et al. NEUROCOMPUTING
- Multilayer Neural Network with Multi-Valued Neurons in time series forecasting of oil production
- (2016) Igor Aizenberg et al. NEUROCOMPUTING
- Modeling permeability and PVT properties of oil and gas reservoir using hybrid model based on type-2 fuzzy logic systems
- (2015) S.O. Olatunji et al. NEUROCOMPUTING
- A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field
- (2015) Sagar Singh et al. STUDIA GEOPHYSICA ET GEODAETICA
- Hydrologic-Process-Based Soil Texture Classifications for Improved Visualization of Landscape Function
- (2015) Derek G. Groenendyk et al. PLoS One
- Influence of Soil Moisture Content on the Corrosion Behavior of X60 Steel in Different Soils
- (2014) Ehteram A. Noor et al. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
- Estimation of soil moisture and its effect on soil thermal characteristics at Astronomical Observatory, Thiruvananthapuram, south Kerala
- (2014) M S ROXY et al. Journal of Earth System Science
- Thermal conductivity of soils and rocks from the Melbourne (Australia) region
- (2013) D. Barry-Macaulay et al. ENGINEERING GEOLOGY
- A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation
- (2012) Pejman Tahmasebi et al. COMPUTERS & GEOSCIENCES
- Combined Effect of Moisture and Temperature on Concrete Cover Surrounding GFRP Bars
- (2011) Ali Zaidi et al. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
- Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies
- (2010) Maria Pamela C David et al. BMC BIOINFORMATICS
- The prediction of seedy grape drying rate using a neural network method
- (2010) Gülşah Çakmak et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Fault detection and other time series opportunities in the petroleum industry
- (2010) Roar Nybø NEUROCOMPUTING
- Predicting moisture content of agricultural products using artificial neural networks
- (2009) Adnan Topuz ADVANCES IN ENGINEERING SOFTWARE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now