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Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh
Journal of Environmental Management
◽
10.1016/j.jenvman.2021.113086
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2021
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Vol 295
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pp. 113086
Author(s):
Mahfuzur Rahman
◽
Ningsheng Chen
◽
Ahmed Elbeltagi
◽
Md Monirul Islam
◽
Mehtab Alam
◽
...
Keyword(s):
Machine Learning
◽
Learning Algorithms
◽
Machine Learning Algorithms
◽
Hybrid Machine
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Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields
Fuel
◽
10.1016/j.fuel.2021.121872
◽
2022
◽
Vol 308
◽
pp. 121872
Author(s):
Abouzar Rajabi Behesht Abad
◽
Hamzeh Ghorbani
◽
Nima Mohamadian
◽
Shadfar Davoodi
◽
Mohammad Mehrad
◽
...
Keyword(s):
Machine Learning
◽
Gas Flow
◽
Learning Algorithms
◽
Gas Condensate
◽
Machine Learning Algorithms
◽
Flow Rates
◽
Hybrid Machine
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Improving prediction of water quality indices using novel hybrid machine-learning algorithms
The Science of The Total Environment
◽
10.1016/j.scitotenv.2020.137612
◽
2020
◽
Vol 721
◽
pp. 137612
◽
Cited By ~ 5
Author(s):
Duie Tien Bui
◽
Khabat Khosravi
◽
John Tiefenbacher
◽
Hoang Nguyen
◽
Nerantzis Kazakis
Keyword(s):
Machine Learning
◽
Water Quality
◽
Learning Algorithms
◽
Machine Learning Algorithms
◽
Quality Indices
◽
Water Quality Indices
◽
Hybrid Machine
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Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs
Journal of Natural Gas Science and Engineering
◽
10.1016/j.jngse.2021.104210
◽
2021
◽
pp. 104210
Author(s):
Abouzar Rajabi Behesht Abad
◽
Seyedmohammadvahid Mousavi
◽
Nima Mohamadian
◽
David A. Wood
◽
Hamzeh Ghorbani
◽
...
Keyword(s):
Machine Learning
◽
Learning Algorithms
◽
Gas Condensate
◽
Machine Learning Algorithms
◽
Gas Condensate Reservoirs
◽
Hybrid Machine
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Hybrid machine learning algorithms to enhance lost-circulation prediction and management in the Marun oil field
Journal of Petroleum Science and Engineering
◽
10.1016/j.petrol.2020.108125
◽
2021
◽
Vol 198
◽
pp. 108125
Author(s):
Mohammad Sabah
◽
Mohammad Mehrad
◽
Seyed Babak Ashrafi
◽
David A. Wood
◽
Shadi Fathi
Keyword(s):
Machine Learning
◽
Learning Algorithms
◽
Oil Field
◽
Machine Learning Algorithms
◽
Lost Circulation
◽
Hybrid Machine
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Predicting the daily return direction of the stock market using hybrid machine learning algorithms
Financial Innovation
◽
10.1186/s40854-019-0138-0
◽
2019
◽
Vol 5
(1)
◽
Cited By ~ 20
Author(s):
Xiao Zhong
◽
David Enke
Keyword(s):
Machine Learning
◽
Stock Market
◽
Learning Algorithms
◽
Machine Learning Algorithms
◽
Daily Return
◽
Hybrid Machine
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A Framework of Novel Feature Set Extraction based Intrusion Detection System for Internet of Things using Hybrid Machine Learning Algorithms
2018 International Conference on Computing, Power and Communication Technologies (GUCON)
◽
10.1109/gucon.2018.8674952
◽
2018
◽
Cited By ~ 2
Author(s):
M. Nivaashini
◽
P. Thangaraj
Keyword(s):
Machine Learning
◽
Internet Of Things
◽
Intrusion Detection
◽
Intrusion Detection System
◽
Detection System
◽
Learning Algorithms
◽
Machine Learning Algorithms
◽
Hybrid Machine
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Comparative Study of Hybrid Machine Learning Algorithms for Network Intrusion Detection
Advances in Security, Networks, and Internet of Things - Transactions on Computational Science and Computational Intelligence
◽
10.1007/978-3-030-71017-0_43
◽
2021
◽
pp. 607-619
Author(s):
Amr Attia
◽
Miad Faezipour
◽
Abdelshakour Abuzneid
Keyword(s):
Machine Learning
◽
Intrusion Detection
◽
Comparative Study
◽
Learning Algorithms
◽
Machine Learning Algorithms
◽
Network Intrusion Detection
◽
Network Intrusion
◽
Hybrid Machine
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Comparison of new individual and hybrid machine learning algorithms for modeling and mapping fire hazard: a supplementary analysis of fire hazard in different counties of Golestan Province in Iran
Natural Hazards
◽
10.1007/s11069-020-04169-4
◽
2020
◽
Vol 104
(1)
◽
pp. 305-327
Author(s):
Saeedeh Eskandari
◽
Mahdis Amiri
◽
Nitheshnirmal Sãdhasivam
◽
Hamid Reza Pourghasemi
Keyword(s):
Machine Learning
◽
Fire Hazard
◽
Learning Algorithms
◽
Machine Learning Algorithms
◽
Golestan Province
◽
Hybrid Machine
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Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms
IEEE Geoscience and Remote Sensing Letters
◽
10.1109/lgrs.2020.3014676
◽
2020
◽
pp. 1-5
◽
Cited By ~ 1
Author(s):
Jochem Verrelst
◽
Katja Berger
◽
Juan Pablo Rivera-Caicedo
Keyword(s):
Machine Learning
◽
Learning Algorithms
◽
Machine Learning Algorithms
◽
Intelligent Sampling
◽
Hybrid Machine
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Estimation of body fat percentage using hybrid machine learning algorithms
Measurement
◽
10.1016/j.measurement.2020.108173
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2021
◽
Vol 167
◽
pp. 108173
Author(s):
Muhammed Kürşad Uçar
◽
Zeliha Uçar
◽
Fatih Köksal
◽
Nihat Daldal
Keyword(s):
Machine Learning
◽
Body Fat
◽
Learning Algorithms
◽
Machine Learning Algorithms
◽
Body Fat Percentage
◽
Fat Percentage
◽
Hybrid Machine
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