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Utilization of Machine Learning Methods in Modeling Specific Heat Capacity of Nanofluids
Computers Materials & Continua
◽
10.32604/cmc.2022.019048
◽
2022
◽
Vol 70
(1)
◽
pp. 361-374
Author(s):
Mamdouh El Haj Assad
◽
Ibrahim Mahariq
◽
Raymond Ghandour
◽
Mohammad Alhuyi Nazari
◽
Thabet Abdeljawad
Keyword(s):
Machine Learning
◽
Heat Capacity
◽
Specific Heat
◽
Specific Heat Capacity
◽
Learning Methods
◽
Machine Learning Methods
Download Full-text
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Specific Heat Capacity of Molten Salt-based Nanofluid in Solar Thermal Applications: A Paradigm of Two Modern Ensemble Machine Learning Methods
Journal of Molecular Liquids
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10.1016/j.molliq.2021.116434
◽
2021
◽
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Author(s):
Mehdi Jamei
◽
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...
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Solar Thermal
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Prediction of the specific heat of polymers from experimental data and machine learning methods
Polymer
◽
10.1016/j.polymer.2021.123558
◽
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◽
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◽
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Author(s):
Rahul Bhowmik
◽
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◽
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◽
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Machine Learning
◽
Experimental Data
◽
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◽
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◽
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Synthesis of Fe3O4-Al2O3-ZnO/water ternary hybrid nanofluid: Investigating the effects of temperature, volume concentration and mixture ratio on Specific heat capacity, and development of Hybrid machine learning for prediction
Journal of Energy Storage
◽
10.1016/j.est.2021.102947
◽
2021
◽
Vol 41
◽
pp. 102947
Author(s):
Humphrey Adun
◽
Doga Kavaz
◽
Ifeoluwa Wole-Osho
◽
Mustafa Dagbasi
Keyword(s):
Machine Learning
◽
Heat Capacity
◽
Specific Heat
◽
Specific Heat Capacity
◽
Volume Concentration
◽
Hybrid Nanofluid
◽
Mixture Ratio
◽
Hybrid Machine
◽
Effects Of Temperature
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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
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Application of machine learning methods for automatic interpretation of open hole logging data
Neftyanoe khozyaystvo - Oil Industry
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10.24887/0028-2448-2020-11-44-47
◽
2020
◽
pp. 44-47
Author(s):
M.A. Basyrov
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◽
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Machine Learning
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Learning Methods
◽
Machine Learning Methods
◽
Automatic Interpretation
◽
Open Hole
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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
◽
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◽
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◽
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◽
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◽
Advanced Ovarian Cancer
◽
High Grade
◽
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◽
Machine Learning Methods
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Evolution of Machine Learning Methods for Memography Classification
International Journal of Computer Sciences and Engineering
◽
10.26438/ijcse/v6i3.499502
◽
2018
◽
Vol 6
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◽
pp. 499-502
Author(s):
R. Swathi
◽
◽
R. Seshadri
◽
Keyword(s):
Machine Learning
◽
Learning Methods
◽
Machine Learning Methods
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FORECASTING THREATS AND CHOOSING THE OPTIMAL STRATEGY FOR ENSURING ECONOMIC SECURITY USING MACHINE LEARNING METHODS
Scientific Review Series 1 Economics and Law
◽
10.26653/2076-4650-2019-6-09
◽
2019
◽
pp. 115-123
Author(s):
Evgeniy A. Voronin
◽
◽
Igor V. Yushin
◽
Keyword(s):
Machine Learning
◽
Optimal Strategy
◽
Economic Security
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Learning Methods
◽
Machine Learning Methods
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A Generalized Approach to Soil Strength Prediction With Machine Learning Methods
10.21236/ada464726
◽
2006
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Author(s):
Peter M. Semen
Keyword(s):
Machine Learning
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Machine Learning Methods for Financial Forecasting: Application to the S&P 500
SSRN Electronic Journal
◽
10.2139/ssrn.2554146
◽
2006
◽
Cited By ~ 1
Author(s):
Babak Mahdavi Damghani
Keyword(s):
Machine Learning
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Financial Forecasting
◽
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◽
Machine Learning Methods
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