Artificial Neural Networks Based Algorithm for Identifying Engine Oil Parameters

2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks ◽

10.1109/cicsyn.2010.83 ◽

2010 ◽

Cited By ~ 2

Author(s):

H. Hashim ◽

M.A. Haron ◽

F.N. Osman ◽

S.A.M. Al Junid ◽

M.F. Idros ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Engine Oil ◽

Artificial Neural

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Interactions between Amorphous Carbon Coatings and Engine Oil Additives: Prediction of the Friction Behavior using Optimized Artificial Neural Networks

Advanced Ceramic Coatings and Materials for Extreme Environments II - Ceramic Engineering and Science Proceedings ◽

10.1002/9781118217474.ch18 ◽

2012 ◽

pp. 207-224 ◽

Cited By ~ 1

Author(s):

Edgar Schulz ◽

Thilo Breitsprecher ◽

Yashar Musayev ◽

Stephan Tremmel ◽

Tim Hosenfeldt ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Amorphous Carbon ◽

Engine Oil ◽

Friction Behavior ◽

Carbon Coatings ◽

Oil Additives ◽

Artificial Neural ◽

Amorphous Carbon Coatings

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Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil –based nanofluids containing tungsten oxide -MWCNTs

Case Studies in Thermal Engineering ◽

10.1016/j.csite.2021.101122 ◽

2021 ◽

pp. 101122

Author(s):

Farid Soltani ◽

Mehdi Hajian ◽

Davood Toghraie ◽

Ali Gheisari ◽

Nima Sina ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Tungsten Oxide ◽

Thermal Characteristics ◽

Engine Oil ◽

Artificial Neural

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Investigation of rheological behavior of MWCNT (COOH-functionalized)/MgO - Engine oil hybrid nanofluids and modelling the results with artificial neural networks

Journal of Molecular Liquids ◽

10.1016/j.molliq.2017.05.121 ◽

2017 ◽

Vol 241 ◽

pp. 173-181 ◽

Cited By ~ 98

Author(s):

Ali Alirezaie ◽

Seyfolah Saedodin ◽

Mohammad Hemmat Esfe ◽

Seyed Hadi Rostamian

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Rheological Behavior ◽

Engine Oil ◽

Hybrid Nanofluids ◽

Artificial Neural

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Application of Artificial Neural Networks (ANNs) for Predicting the Viscosity of Tungsten Oxide (WO3)-MWCNTs/Engine Oil Hybrid Nanofluid

International Journal of Thermophysics ◽

10.1007/s10765-020-02749-x ◽

2020 ◽

Vol 41 (12) ◽

Author(s):

Davood Toghraie ◽

Mohammad Hasan Aghahadi ◽

Nima Sina ◽

Farid Soltani

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Tungsten Oxide ◽

Engine Oil ◽

Hybrid Nanofluid ◽

Artificial Neural

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Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

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Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Artificial Neural

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Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Artificial Neural Networks ◽

Organizational Issues ◽

Artificial Neural

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Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Artificial Neural Networks ◽

Diagnosis And Prognosis ◽

Artificial Neural

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FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

Scientific Review Series 1 Economics and Law ◽

10.33051/2076-4650-2018-6-6-11 ◽

2018 ◽

pp. 6-11

Author(s):

Kobiljon Kh. Zoidov ◽

◽

Svetlana V. Ponomareva ◽

Daniel I. Serebryansky ◽

◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Space Exploration ◽

Artificial Neural

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Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2005.53.5.343 ◽

2005 ◽

Vol 53 (5) ◽

pp. 343 ◽

Cited By ~ 1

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽

Artificial Neural

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