Artificial neural networks approach on vibration and noise parameters assessment of flaxseed oil biodiesel fuelled CI engine

Flaxseed Oil ◽

Noise Parameters ◽

Ci Engine ◽

Machine Intelligence and Signal Processing - Advances in Intelligent Systems and Computing ◽

Intelligent Condition Monitoring of a CI Engine Using Machine Learning and Artificial Neural Networks

10.1007/978-981-15-1366-4_16 ◽

2020 ◽

pp. 201-214

Author(s):

P. Naveen Kumar ◽

S. R. Jeeva Karunya ◽

G. Sakthivel ◽

R. Jegadeeshwaran

Keyword(s):

Machine Learning ◽

Neural Networks ◽

Condition Monitoring ◽

Ci Engine ◽

Optimization of Engine Performance Parameters and Exhaust Emissions in CI Engine Fuelled with Soapnut Bio-Diesel Blend Using Artificial Neural Networks

10.4271/2019-01-1167 ◽

2019 ◽

Cited By ~ 3

Author(s):

Sudeeksha Agrawal ◽

Raghvendra Gautam

Keyword(s):

Neural Networks ◽

Engine Performance ◽

Exhaust Emissions ◽

Performance Parameters ◽

Ci Engine ◽

Analysis of the Effect of In-cylinder Parameters on NOX and HC Emissions of a CI Engine Using Artificial Neural Networks

10.4271/2006-01-3313 ◽

2006 ◽

Cited By ~ 1

Author(s):

Vijay Manikandan Janakiraman ◽

Saikishan Suryanarayanan ◽

S. Saravanan ◽

G. Lakshmi Narayana Rao

Keyword(s):

Neural Networks ◽

Ci Engine ◽

Artificial Neural ◽

Hc Emissions

Sequential Procedure for Improving the Efficiency of CI Engine by Using Artificial Neural Networks

10.21203/rs.3.rs-126113/v2 ◽

2020 ◽

Keyword(s):

Neural Networks ◽

Sequential Procedure ◽

Ci Engine ◽

Abstract The authors have requested that this preprint be withdrawn due to a need to make corrections.

Artificial neural networks applications in prediction of performance, combustion, emissions, vibrations, and noise parameters of VCR diesel engine using Niger seed oil methyl ester blends and hydrogen in dual fuel mode

International Journal of Ambient Energy ◽

10.1080/01430750.2021.1946847 ◽

2021 ◽

pp. 1-28

Author(s):

S Jaikumar ◽

S K Bhatti ◽

V Srinivas

Keyword(s):

Neural Networks ◽

Diesel Engine ◽

Methyl Ester ◽

Seed Oil ◽

Dual Fuel ◽

Noise Parameters ◽

Combustion Emissions ◽

Artificial Neural ◽

Niger Seed

Estimation of Impulse Noise Parameters in Power Line Communications Channel Based on Artificial Neural Networks

2006 8th international Conference on Signal Processing ◽

10.1109/icosp.2006.345840 ◽

2006 ◽

Cited By ~ 1

Author(s):

Mingyue Zhai

Keyword(s):

Neural Networks ◽

Impulse Noise ◽

Power Line ◽

Power Line Communications ◽

Noise Parameters ◽

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 ◽

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 ◽

Adaptive Training ◽

Training Systems ◽

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 ◽

Organizational Issues ◽

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 ◽

Diagnosis And Prognosis ◽