Use of Machine Learning Methods for Predicting Amount of Bioethanol Obtained from Lignocellulosic Biomass with the Use of Ionic Liquids for Pretreatment

Effect of hydrothermal pretreatment severity on lignin inhibition in enzymatic hydrolysis

(2019) Miriam Kellock et al.   BIORESOURCE TECHNOLOGY

Combination of steam explosion pretreatment and anaerobic alkalization treatment to improve enzymatic hydrolysis of Hippophae rhamnoides

(2019) Liwen He et al.   BIORESOURCE TECHNOLOGY

Assessment of the Possibility of Using Hemp Biomass (Cannabis Sativa L.) for Energy Purposes: A Case Study

(2019) Artur Kraszkiewicz et al.   Applied Sciences-Basel

Comparison of Machine Learning Techniques in Inferring Phytoplankton Size Classes

(2018) Shuibo Hu et al.   Remote Sensing

Predictive single-step kinetic model of biomass devolatilization for CFD applications: A comparison study of empirical correlations (EC), artificial neural networks (ANN) and random forest (RF)

(2018) Jiangkuan Xing et al.   RENEWABLE ENERGY

Challenges towards Revitalizing Hemp: A Multifaceted Crop

(2017) Craig Schluttenhofer et al.   TRENDS IN PLANT SCIENCE

Comparison of ANN (MLP), ANFIS, SVM, and RF models for the online classification of heating value of burning municipal solid waste in circulating fluidized bed incinerators

(2017) Haihui You et al.   WASTE MANAGEMENT

Efficient hydrolysis and ethanol production from rice straw by pretreatment with organic acids and effluent of biogas plant

(2017) Forough Momayez et al.   RSC Advances

Ionic liquid pretreatment as emerging approaches for enhanced enzymatic hydrolysis of lignocellulosic biomass

(2016) Amal A. Elgharbawy et al.   BIOCHEMICAL ENGINEERING JOURNAL

Artificial neural networks: an efficient tool for modelling and optimization of biofuel production (a mini review)

(2016) Yeshona Sewsynker-Sukai et al.   BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT

Modelling and prediction of bioethanol production from intermediates and byproduct of sugar beet processing using neural networks

(2016) Jovana Grahovac et al.   RENEWABLE ENERGY

Prediction of sugar yields during hydrolysis of lignocellulosic biomass using artificial neural network modeling

(2015) Sankar Vani et al.   BIORESOURCE TECHNOLOGY

Disjunctive normal random forests

(2015) Mojtaba Seyedhosseini et al.   PATTERN RECOGNITION

Modeling and optimization of bioethanol production from breadfruit starch hydrolyzate vis-à-vis response surface methodology and artificial neural network

(2015) Eriola Betiku et al.   RENEWABLE ENERGY

Understanding cost drivers and economic potential of two variants of ionic liquid pretreatment for cellulosic biofuel production

(2014) NVSN Konda et al.   Biotechnology for Biofuels

Optimization of the hydrolysis of lignocellulosic residues by using radial basis functions modeling and particle swarm optimization

(2013) Pablo C. Giordano et al.   BIOCHEMICAL ENGINEERING JOURNAL

Ethanol and biogas production from birch by NMMO pretreatment

(2013) Amir Goshadrou et al.   BIOMASS & BIOENERGY

Experimental study and neural network modeling of sugarcane bagasse pretreatment with H2SO4 and O3 for cellulosic material conversion to sugar

(2013) Vahid Gitifar et al.   BIORESOURCE TECHNOLOGY

Bioconversion of lignocellulose: inhibitors and detoxification

(2013) Leif J Jönsson et al.   Biotechnology for Biofuels

Pretreatment and Fractionation of Wheat Straw Using Various Ionic Liquids

(2013) André M. da Costa Lopes et al.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY

Novel pre-treatment and fractionation method for lignocellulosic biomass using ionic liquids

(2013) Sara P. Magalhães da Silva et al.   RSC Advances

Modeling and optimization of biogas production on saw dust and other co-substrates using Artificial Neural network and Genetic Algorithm

(2012) E.B. Gueguim Kana et al.   RENEWABLE ENERGY

Synthesis and properties of ammonium ionic liquids with cyclohexyl substituent and dissolution of cellulose

(2012) Juliusz Pernak et al.   RSC Advances