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Machine learning based prediction of the performance and emission characteristics of CRDI diesel engine using diethyl ether and carbon nanotube additives with Spirulina platensis as a third-generation biofuel 基于机器学习的CRDI柴油机性能与排放特性预测:使用螺旋藻作为第三代生物燃料,并添加二乙醚和碳纳米管 Menda, Venkata Ramana; Tota, Rakesh Kumar; Bikkavolu, Joga Rao; Ravi, H.; Pullagura, Gandhi; Dasharath, S. M.; Barik, Debabrata; Dennison, Milon Selvam; Dinesh, Ayyar; Rajendran, Saravanan 分享 收藏
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Exposure the role of hydrogen with algae spirogyra biodiesel and fuel-borne additive on a diesel engine: An experimental assessment on dual fuel combustion mode Aravind, S.; Barik, Debabrata; Pullagura, Gandhi; Chandran, Sreejesh S. R.; Pv, Elumalai; Paramasivam, Prabhu; Balasubramanian, Dhinesh; Fouad, Yasser; Soudagar, Manzoore Elahi M.; Abul Kalam, Md; Kit, Chan Choon 分享 收藏
Fuzzy logic-supported building design for low-energy consumption in urban environments Arun, Munusamy; Efremov, Cristina; Nguyen, Van Nhanh; Barik, Debabrata; Sharma, Prabhakar; Bora, Bhaskor Jyoti; Kowalski, Jerzy; Le, Huu Cuong; Truong, Thanh Hai; Cao, Dao Nam 分享 收藏
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Corrigendum to Deep learning-enabled integration of renewable energy sources through photovoltaics in buildings [CSITE, 61, September 2024, 105115] Arun, Munusamy; Le, Thanh Tuan; Barik, Debabrata; Sharma, Prabhakar; Osman, Sameh M.; Huynh, Van Kiet; Kowalski, Jerzy; Dong, Van Huong; Le, Viet Vinh 分享 收藏