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Citations (19)
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Alirıza Kaleli, Bilal Sungur & Cem Basar. (2023) Comparative study of machine learning methods integrated with different optimisation algorithms for prediction of thermal performance and emissions in a pellet stove. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45:3, pages 7673-7693.
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Sunil Kumar Mahla, Kulwinder Singh Parmar, Jujhar Singh, Amit Dhir, Sarbjot Singh Sandhu & Bhupendra Singh Chauhan. (2023) Trend and time series analysis by ARIMA model to predict the emissions and performance characteristics of biogas fueled compression ignition engine. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45:2, pages 4293-4304.
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Anh-Tuan Le, Yen-Lien T. Nguyen, Khanh Nguyen Duc, Trung-Dung Nghiem, Huu-Tuyen Pham & Ngoc-Dung Bui. (2022) Applying a neural network-based approach for estimating instantaneous emissions of the heavy-duty buses: A case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:3, pages 8012-8023.
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Karthikeyan Subramanian, Sathiyagnanam Amudhavalli Paramasivam, Damodharan Dillikannan, Manickam Muthu & Prasanna Raj Yadav Sanjeevi. (2022) Prediction of thermal performance and exhaust emissions of a diesel engine fuelled with Simmondsia Chinensis oil methyl ester using ANN. International Journal of Ambient Energy 0:0, pages 1-14.
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Mehmed Rafet Özdemir, Murat Umut Yangaz & Ilker Turgut Yilmaz. (2021) Energy, Exergy and Exergo-Economic Characteristics of Hydrogen Enriched Hydrocarbon-Based Fuels in a Premixed Burner. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 43:23, pages 3119-3136.
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Pradeep Raju, Senthil Kumar Masimalai & Nataraj Ganesan. (2021) Extracting methyl-ester from waste cooking oil for fueling a light duty diesel engine – a dual fuel approach. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 43:12, pages 1429-1443.
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Harish Kumar Ghritlahre & Manoj Verma. (2021) Solar air heaters performance prediction using multi-layer perceptron neural network– A systematic review. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-18.
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Cheng Li, Yequan Jin, Zhichuan Guan, Zhigang Dang, Jingyang Jin & Bo Zhang. (2021) New quantitative risk prediction method of deepwater blowout: Case study of Macondo well accident. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-20.
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Surya Kanth, Sumita Debbarma & Biplab Das. (2020) Experimental investigation of rice bran biodiesel with hydrogen enrichment in diesel engine. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-18.
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Mebin Samuel Panithasan, Devaradjane Gopalakichenin, Gnanamoorthi Venkadesan & Manimaran Malairajan. (2020) Evaluating the working characters of a diesel engine fueled with biodiesel blends added with rice husk Nano particles. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-19.
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Articles from other publishers (9)
K. Karunamurthy, Ayub Ahmed Janvekar, P. L. Palaniappan, V. Adhitya, T. T. K. Lokeswar & J. Harish. (2023) Prediction of IC engine performance and emission parameters using machine learning: A review. Journal of Thermal Analysis and Calorimetry 148:9, pages 3155-3177.
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T. Anandavelu, Sundararajan Rajkumar & Vinoth Thangarasu. (2023) Dual fuel combustion of 1-hexanol with diesel and biodiesel fuels in a diesel engine: An experimental investigation and multi criteria optimization using artificial neural network and TOPSIS algorithm. Fuel 338, pages 127318.
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Wongchai Anupong, Ruangwong On-uma, Kumchai Jutamas, Beata Gavurová, Arunachalam Chinnathambi, Tahani Awad Alahmadi, Manigandan Sekar, Kathirvel Brindhadevi & Arivalagan Pugazhendhi. (2023) Utilization of enriched hydrogen blends in the diesel engine with MgO nanoparticles for effective engine performance and emission control. Fuel 334, pages 126552.
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Rajayokkiam Manimaran, Thangavelu Mohanraj & Moorthy Venkatesan. (2022) ANN modeling for forecasting of VCR engine performance and emission parameters fuelled with green diesel extracted from waste biomass resources. Environmental Science and Pollution Research 29:34, pages 51183-51210.
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Anh Tuan Hoang, Sandro Nižetić, Hwai Chyuan Ong, Wieslaw Tarelko, Van Viet Pham, Tri Hieu Le, Minh Quang Chau & Xuan Phuong Nguyen. (2021) A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels. Sustainable Energy Technologies and Assessments 47, pages 101416.
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Adhirath Mandal, Haengmuk Cho & Bhupendra Singh Chauhan. (2021) ANN Prediction of Performance and Emissions of CI Engine Using Biogas Flow Variation. Energies 14:10, pages 2910.
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Someet Singh, Anuj Jain & Sunil Kumar Mahla. (2020) Sampled-data model validation: An algorithm and experimental setup of dual fuel IC engine. Fuel 279, pages 118517.
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N. Hariharan, V. Senthil, M. Krishnamoorthi & S.V. Karthic. (2020) Application of artificial neural network and response surface methodology for predicting and optimizing dual-fuel CI engine characteristics using hydrogen and bio fuel with water injection. Fuel 270, pages 117576.
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Anh Tuan Hoang & Van Viet Pham. A study on a solution to reduce emissions by using hydrogen as an alternative fuel for a diesel engine integrated exhaust gas recirculation. A study on a solution to reduce emissions by using hydrogen as an alternative fuel for a diesel engine integrated exhaust gas recirculation.