Application of Artificial Intelligence in the Prediction of Thermal Properties of Biomass

Valorization of Biomass to Value-Added Commodities - Green Energy and Technology ◽

10.1007/978-3-030-38032-8_4 ◽

2020 ◽

pp. 59-91

Author(s):

O. Olatunji ◽

S. Akinlabi ◽

N. Madushele

Keyword(s):

Artificial Intelligence ◽

Thermal Properties

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Estimating Periodic Thermal Properties with Artificial Intelligence

Optimization of the Characterization of the Thermal Properties of the Building Envelope - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-3-030-63629-6_5 ◽

2020 ◽

pp. 55-66

Author(s):

David Bienvenido-Huertas ◽

Carlos Rubio-Bellido

Keyword(s):

Artificial Intelligence ◽

Thermal Properties

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Estimation of Stationary Thermal Properties with Artificial Intelligence

Optimization of the Characterization of the Thermal Properties of the Building Envelope - SpringerBriefs in Applied Sciences and Technology ◽

10.1007/978-3-030-63629-6_4 ◽

2020 ◽

pp. 47-54

Author(s):

David Bienvenido-Huertas ◽

Carlos Rubio-Bellido

Keyword(s):

Artificial Intelligence ◽

Thermal Properties

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Dual-phase-lag thermal model of test microchip structure dedicated to electronic circuit thermal properties estimation using artificial intelligence

2017 IEEE 30th International Conference on Microelectronics (MIEL) ◽

10.1109/miel.2017.8190126 ◽

2017 ◽

Author(s):

T. Raszkowski ◽

A. Samson ◽

M. Zubert ◽

M. Janicki

Keyword(s):

Artificial Intelligence ◽

Thermal Properties ◽

Thermal Model ◽

Electronic Circuit ◽

Phase Lag ◽

Dual Phase

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Experimental characterisation of the periodic thermal properties of walls using artificial intelligence

Energy ◽

10.1016/j.energy.2020.117871 ◽

2020 ◽

Vol 203 ◽

pp. 117871 ◽

Cited By ~ 2

Author(s):

David Bienvenido-Huertas ◽

Carlos Rubio-Bellido ◽

Jaime Solís-Guzmán ◽

Miguel José Oliveira

Keyword(s):

Artificial Intelligence ◽

Thermal Properties ◽

Experimental Characterisation

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Artificial Intelligence in Drug Discovery

10.1039/9781788016841 ◽

2020 ◽

Keyword(s):

Artificial Intelligence ◽

Drug Discovery

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The thermal properties of some amine tetraphenylboron salts8-Quinolinol and its derivatives

Analytica Chimica Acta ◽

10.1016/s0003-2670(01)81334-9 ◽

1960 ◽

Vol 23 ◽

pp. 332-336 ◽

Cited By ~ 1

Author(s):

W WENDLANDT ◽

J VANTASSEL ◽

G ROBERTHORTON

Keyword(s):

Thermal Properties

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Magnetic and thermal properties of a two-dimensional electron gas

Physica B Condensed Matter ◽

10.1016/s0921-4526(84)94899-3 ◽

1984 ◽

Vol 127 (1-3) ◽

pp. 388-388 ◽

Cited By ~ 4

Author(s):

W ZAWADZKI

Keyword(s):

Thermal Properties ◽

Electron Gas ◽

Two Dimensional ◽

Dimensional Electron ◽

Two Dimensional Electron Gas ◽

Dimensional Electron Gas

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Artificial Intelligence and Social Work

10.1017/9781108669016 ◽

2018 ◽

Cited By ~ 4

Keyword(s):

Artificial Intelligence ◽

Social Work

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Artificial Intelligence

10.1017/cbo9780511794797 ◽

2009 ◽

Cited By ~ 138

Author(s):

David L. Poole ◽

Alan K. Mackworth

Keyword(s):

Artificial Intelligence

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The economics of selection of mail orders Drs. Zahavi and Levin are the masterminds behind the development of AMOS, a customized predictive modeling system for the Franklin Mint in Philadelphia, and GainSmarts, a general purpose data mining system that is the two-time winner of the KDD-CUP competition for the best data mining tools (1997 and 1998) sponsored by the American Association for Artificial Intelligence.

Journal of Interactive Marketing ◽

10.1002/dir.1016.abs ◽

2001 ◽

Vol 15 (3) ◽

pp. 53

Author(s):

Nissan Levin ◽

Jacob Zahavi

Keyword(s):

Artificial Intelligence ◽

Data Mining ◽

Predictive Modeling ◽

American Association ◽

General Purpose ◽

Mining System ◽

Data Mining System ◽

Mining Tools ◽

Selection Of

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