A Novel Approach Towards Gas Turbine Emission Reduction by Using Neural Networks-Reference-Cited by-同舟云学术

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A Novel Approach Towards Gas Turbine Emission Reduction by Using Neural Networks

Published:2023-11-15 Issue: Volume: Page:1060-1066
ISSN:
Container-title:2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
language:
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Author:

Roy Atanu¹,Pramanik Sabyasachi²,Mitra Kalyan³,Chakraborty Manashi⁴

Affiliation:

1. The Neotia University,Dept. of Maritime Studies,West Bengal,India,743368

2. Haldia Institute of Technology,Dept. of Computer Science and Engineering,Hatiberia, Haldia,West Bengal,India,721657

3. Indian Maritime University,Dept. of Maritime Studies,Kolkata,India,700088

4. The Neotia University,Dept. of Chemistry Studies,West Bengal,India,743368

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370002/10368600/10370701.pdf?arnumber=10370701

Reference12 articles.

1. Environmental and Health Impacts of Air Pollution: A Review

2. A perspective on the use of ammonia as a clean fuel: Challenges and solutions

3. Emissions and spatial distribution of air pollutants from anthropogenic sources in Jakarta

4. Gas turbine performance prediction via machine learning

5. An artificial neural network approach to compressor performance prediction

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