Feature validity during machine learning paradigms for predicting biodiesel purity
暂无分享,去创建一个
D. Bui | H. Moayedi | L. K. Foong | B. Aghel
[1] Majid Mohadesi,et al. Production of biodiesel from waste cooking oil using a homogeneous catalyst: Study of semi-industrial pilot of microreactor , 2019, Renewable Energy.
[2] S. S. Hoseini,et al. Characterization of biodiesel production (ultrasonic-assisted) from evening-primroses (Oenothera lamarckiana) as novel feedstock and its effect on CI engine parameters , 2019, Renewable Energy.
[3] P. Gogate,et al. Ultrasound assisted synthesis of biodiesel from karanja oil by interesterification: Intensification studies and optimization using RSM. , 2019, Ultrasonics sonochemistry.
[4] Wei Gao,et al. Partial multi-dividing ontology learning algorithm , 2018, Inf. Sci..
[5] M. Mohadesi,et al. Effect of Different Cosolvents on Transesterification of Waste Cooking Oil in a Microreactor , 2018 .
[6] Wei Gao,et al. Nano properties analysis via fourth multiplicative ABC indicator calculating , 2017, Arabian Journal of Chemistry.
[7] Muhammad Kamran Siddiqui,et al. Study of biological networks using graph theory , 2017, Saudi journal of biological sciences.
[8] Aura Conci,et al. Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes , 2017, Comput. Biol. Medicine.
[9] Soleiman Hosseinpour,et al. Fuzzy modeling and optimization of the synthesis of biodiesel from waste cooking oil (WCO) by a low power, high frequency piezo-ultrasonic reactor , 2017 .
[10] M. Mohadesi,et al. New heterogeneous process for continuous biodiesel production in microreactors , 2017 .
[11] M. Tabasizadeh,et al. Application of Microwave Irradiation for Preparation of a KOH/Calcium Aluminate Nanocatalyst and Biodiesel , 2017 .
[12] M. Madadi,et al. Green Biodiesel Production Potential from Oil Seeds in Iran , 2017 .
[13] Leila Naderloo,et al. Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS) , 2016 .
[14] Mahmoud Reza Pishvaie,et al. Optimal control of batch cooling crystallizers by using genetic algorithm , 2016 .
[15] Wen Tong Chong,et al. Microalgae biofuels as an alternative to fossil fuel for power generation , 2016 .
[16] B. Ghobadian,et al. Biodiesel production from Norouzak (Salvia lerifolia) seeds as an indigenous source of bio fuel in Iran using ultrasound , 2015 .
[17] Stefan Kramer,et al. Alternating model trees , 2015, SAC.
[18] J. Maran,et al. Comparison of response surface methodology and artificial neural network approach towards efficient ultrasound-assisted biodiesel production from muskmelon oil. , 2015, Ultrasonics sonochemistry.
[19] J. Maran,et al. Modeling of ultrasound assisted intensification of biodiesel production from neem (Azadirachta indica) oil using response surface methodology and artificial neural network , 2015 .
[20] M. P. Dorado,et al. Influence of vegetable oil fatty acid composition on ultrasound-assisted synthesis of biodiesel , 2014 .
[21] Teuku Meurah Indra Mahlia,et al. Production and comparative fuel properties of biodiesel from non-edible oils: Jatropha curcas, Sterculia foetida and Ceiba pentandra , 2013 .
[22] M. Fattahi,et al. Neural network modeling the effect of oxygenate additives on the performance of Pt–Sn/γ-Al2O3 catalyst in propane dehydrogenation , 2013, Applied Petrochemical Research.
[23] Gholamreza Moradi,et al. The optimized operational conditions for biodiesel production from soybean oil and application of artificial neural networks for estimation of the biodiesel yield , 2013 .
[24] Cédric Bastoul,et al. Predictive Modeling in a Polyhedral Optimization Space , 2011, International Symposium on Code Generation and Optimization (CGO 2011).
[25] Giancarlo Cravotto,et al. A new pilot flow reactor for high-intensity ultrasound irradiation. Application to the synthesis of biodiesel. , 2010, Ultrasonics sonochemistry.
[26] Bernhard Pfahringer,et al. Random model trees: an effective and scalable regression method , 2010 .
[27] D. Grewell,et al. Enhancing Biodiesel Production from Soybean Oil using Ultrasonics , 2010 .
[28] Poonam,et al. Fast, easy ethanolysis of coconut oil for biodiesel production assisted by ultrasonication. , 2010, Ultrasonics sonochemistry.
[29] Kurt Hornik,et al. Open-source machine learning: R meets Weka , 2009, Comput. Stat..
[30] Fabiano A.N. Fernandes,et al. Optimization of the production of biodiesel from soybean oil by ultrasound assisted methanolysis , 2009 .
[31] Yue Jiang,et al. Comparing design and code metrics for software quality prediction , 2008, PROMISE '08.
[32] Yong Wang,et al. COMPARISON OF TWO DIFFERENT PROCESSES TO SYNTHESIZE BIODIESEL BY WASTE COOKING OIL , 2006 .
[33] C. Stavarache,et al. Fatty acids methyl esters from vegetable oil by means of ultrasonic energy. , 2005, Ultrasonics sonochemistry.
[34] Adam Harvey,et al. Process intensification of biodiesel production using a continuous oscillatory flow reactor , 2003 .
[35] Milford A. Hanna,et al. The effect of mixing on transesterification of beef tallow , 1999 .
[36] P. Rousseeuw. Least Median of Squares Regression , 1984 .
[37] Walter L. Ruzzo,et al. Tree-size bounded alternation(Extended Abstract) , 1979, J. Comput. Syst. Sci..
[38] Wei Gao,et al. An independent set degree condition for fractional critical deleted graphs , 2019, Discrete & Continuous Dynamical Systems - S.
[39] D. Dimitrov,et al. Tight independent set neighborhood union condition for fractional critical deleted graphs and ID deleted graphs , 2019, Discrete & Continuous Dynamical Systems - S.
[40] Mohamad Mojarab Soufiyan,et al. Multi-objective exergetic and technical optimization of a piezoelectric ultrasonic reactor applied to synthesize biodiesel from waste cooking oil (WCO) using soft computing techniques , 2019, Fuel.
[41] K. Sudhakar,et al. Carbon mitigation potential of Jatropha Biodiesel in Indian context , 2012 .
[42] Feng Chen,et al. Ultrasound-assisted synthesis of biodiesel from crude cottonseed oil using response surface methodology. , 2010, Journal of oleo science.
[43] David Aldous,et al. The Continuum Random Tree III , 1991 .