Emissions Prediction of Cashew Nut Shell Liquid Biodiesel Using Machine Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Engineering (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s40009-022-01142-6.pdf
Reference10 articles.
1. Bhatnagar AK, Kaul S, Chhibber VK, Gupta AK (2006) HFRR studies on methyl esters of nonedible vegetable oils. Energy Fuels 20(3):1341–1344
2. Velmurugan A, Loganathan M, Gunasekaran EJ (2014) Experimental investigations on combustion, performance, and emission characteristics of thermal cracked cashew nut shell liquid (TC-CNSL)–diesel blends in a diesel engine. Fuel 132:236–245
3. Senthil Kumar G, Sajin JB, Yuvarajan D, Arunkumar T (2020) Evaluation of emission, performance and combustion characteristics of dual-fueled research diesel engine. Environ Technol 41(6):711–718
4. Gupta KK, Kalita K, Ghadai RK, Ramachandran M, Gao XZ (2021) Machine learning-based predictive modelling of biodiesel production-a comparative perspective. Energies 14(4):1122
5. Kumar R, Ahuja NJ, Saxena M, Kumar A (2020) Automotive power window communication with DTC algorithm and hardware-in-the-loop testing. Wireless Pers Commun 114:3351–3366
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