Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods

Permeability Prediction ◽

Improved Permeability Prediction of Porous Media by Feature Selection and Machine Learning Methods Comparison

Journal of Computing in Civil Engineering ◽

10.1061/(asce)cp.1943-5487.0000983 ◽

2022 ◽

Vol 36 (2) ◽

Author(s):

J. W. Tian ◽

Chongchong Qi ◽

Kang Peng ◽

Yingfeng Sun ◽

Zaher Mundher Yaseen

Keyword(s):

Machine Learning ◽

Porous Media ◽

Feature Selection ◽

Learning Methods ◽

Methods Comparison ◽

Permeability Prediction

Predicting the effective thermal conductivities of composite materials and porous media by machine learning methods

International Journal of Heat and Mass Transfer ◽

10.1016/j.ijheatmasstransfer.2018.08.082 ◽

2018 ◽

Vol 127 ◽

pp. 908-916 ◽

Cited By ~ 29

Author(s):

Han Wei ◽

Shuaishuai Zhao ◽

Qingyuan Rong ◽

Hua Bao

Keyword(s):

Machine Learning ◽

Porous Media ◽

Composite Materials ◽

Learning Methods ◽

Thermal Conductivities

An anomaly prediction framework for financial IT systems using hybrid machine learning methods

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-019-01645-z ◽

2019 ◽

Author(s):

Jingwen Wang ◽

Jingxin Liu ◽

Juntao Pu ◽

Qinghong Yang ◽

Zhongchen Miao ◽

...

Keyword(s):

Machine Learning ◽

Learning Methods ◽

It Systems ◽

Proceedings of the 2nd International Conference on Applications of Intelligent Systems - APPIS '19 ◽

Hybrid machine learning methods for demand forecasting

10.1145/3309772.3309773 ◽

2019 ◽

Author(s):

Víctor Álvarez-López ◽

B. Rosario Campomanes-Álvarez ◽

Pelayo Quirós

Keyword(s):

Machine Learning ◽

Demand Forecasting ◽

Learning Methods ◽

GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods

CATENA ◽

10.1016/j.catena.2020.104833 ◽

2021 ◽

Vol 196 ◽

pp. 104833 ◽

Cited By ~ 8

Author(s):

Xi Chen ◽

Wei Chen

Keyword(s):

Machine Learning ◽

Landslide Susceptibility ◽

Susceptibility Assessment ◽

Learning Methods ◽

Landslide Susceptibility Assessment ◽

2020 7th International Conference on Signal Processing and Integrated Networks (SPIN) ◽

Automated Ocular Artifacts Identification and Removal from EEG Data Using Hybrid Machine Learning Methods

10.1109/spin48934.2020.9071360 ◽

2020 ◽

Author(s):

Mohit Sarin ◽

Akshat Verma ◽

Deepthi Hitesh Mehta ◽

Praveen Kumar Shukla ◽

Shrish Verma

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Eeg Data ◽

Hybrid Machine ◽

Ocular Artifacts

Epileptic seizure detection using hybrid machine learning methods

Neural Computing and Applications ◽

10.1007/s00521-017-3003-y ◽

2017 ◽

Vol 31 (1) ◽

pp. 317-325 ◽

Cited By ~ 46

Author(s):

Abdulhamit Subasi ◽

Jasmin Kevric ◽

M. Abdullah Canbaz

Keyword(s):

Machine Learning ◽

Epileptic Seizure ◽

Seizure Detection ◽

Learning Methods ◽

Epileptic Seizure Detection ◽

Modelling Spatial Drivers for LU/LC Change Prediction Using Hybrid Machine Learning Methods in Javadi Hills, Tamil Nadu, India

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-020-01258-6 ◽

2020 ◽

Author(s):

Sam Navin MohanRajan ◽

Agilandeeswari Loganathan

Keyword(s):

Machine Learning ◽

Tamil Nadu ◽

Learning Methods ◽

Hybrid Machine ◽

Change Prediction

Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning Methods

Water Resources Management ◽

10.1007/s11269-020-02719-w ◽

2020 ◽

Author(s):

Mahdi Valikhan Anaraki ◽

Saeed Farzin ◽

Sayed-Farhad Mousavi ◽

Hojat Karami

Keyword(s):

Climate Change ◽

Machine Learning ◽

Uncertainty Analysis ◽

Climate Change Impacts ◽

Flood Frequency ◽

Learning Methods ◽

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 ◽

Interpretable Machine Learning