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Neural Engineering Intergraded Research Surface Methodology and Box Behnken Design for Maximizing Biofuel Production Based Algal Biocomposition: New Approach

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inferredcites →https://doi.org/10.1002/bbb.2637openalex-snapshot
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inferredcites →https://doi.org/10.1002/ceat.201500585openalex-snapshot
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inferredcites →https://doi.org/10.1002/ceat.202100277openalex-snapshot
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inferredcites →https://doi.org/10.1002/clen.200900233openalex-snapshot
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inferredcites →https://doi.org/10.1002/jsfa.3999openalex-snapshot
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inferredcites →https://doi.org/10.1007/978-3-319-51010-1_7openalex-snapshot
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inferredcites →https://doi.org/10.1007/978-94-007-7494-0_6openalex-snapshot
High Density Outdoor Microalgal Culture
inferredcites →https://doi.org/10.1007/bf02551274openalex-snapshot
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inferredcites →https://doi.org/10.1007/s00253-012-4634-7openalex-snapshot
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inferredcites →https://doi.org/10.1007/s00253-014-6088-6openalex-snapshot
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inferredcites →https://doi.org/10.1007/s00449-017-1887-7openalex-snapshot
Cultivation of newly isolated microalgae Coelastrum sp. in wastewater for simultaneous CO2 fixation, lipid production and wastewater treatment
inferredcites →https://doi.org/10.1007/s00521-020-05035-xopenalex-snapshot
An efficient optimization approach for designing machine learning models based on genetic algorithm
inferredcites →https://doi.org/10.1007/s11157-014-9337-3openalex-snapshot
Luxury uptake of phosphorus by microalgae in waste stabilisation ponds: current understanding and future direction
inferredcites →https://doi.org/10.1007/s11274-009-0292-zopenalex-snapshot
Effect of pH on growth and biochemical responses of Dunaliella bardawil and Chlorella ellipsoidea
inferredcites →https://doi.org/10.1007/s12649-018-0256-3openalex-snapshot
Opportunities and Challenges of Microalgal Cultivation on Wastewater, with Special Focus on Palm Oil Mill Effluent and the Production of High Value Compounds
inferredcites →https://doi.org/10.1007/s40071-017-0168-zopenalex-snapshot
An overview of the utilisation of microalgae biomass derived from nutrient recycling of wet market wastewater and slaughterhouse wastewater
inferredcites →https://doi.org/10.1016/0167-7799(94)90048-5openalex-snapshot
Neural-network contributions in biotechnology
inferredcites →https://doi.org/10.1016/b978-0-12-407909-0.00001-8openalex-snapshot
Introduction to Bioenergy
inferredcites →https://doi.org/10.1016/j.actaastro.2008.02.008openalex-snapshot
The design and optimization for light-algae bioreactor controller based on Artificial Neural Network-Model Predictive Control
inferredcites →https://doi.org/10.1016/j.algal.2013.08.005openalex-snapshot
Process development for hydrothermal liquefaction of algae feedstocks in a continuous-flow reactor
inferredcites →https://doi.org/10.1016/j.algal.2016.01.002openalex-snapshot
Artificial neural network modeling for predicting the growth of the microalga Karlodinium veneficum
inferredcites →https://doi.org/10.1016/j.algal.2017.04.035openalex-snapshot
Microalgae and cyanobacteria as enzyme biofactories
inferredcites →https://doi.org/10.1016/j.algal.2019.101419openalex-snapshot
Monoalgal and mixed algal cultures discrimination by using an artificial neural network
inferredcites →https://doi.org/10.1016/j.algal.2019.101450openalex-snapshot
Techno-economic uncertainty quantification of algal-derived biocrude via hydrothermal liquefaction
inferredcites →https://doi.org/10.1016/j.algal.2019.101669openalex-snapshot
Evaluation of yield-predictive models of biocrude from hydrothermal liquefaction of microalgae
inferredcites →https://doi.org/10.1016/j.algal.2019.101754openalex-snapshot
Chlorella vulgaris in a heterotrophic bioprocess: Study of the lipid bioaccessibility and oxidative stability
inferredcites →https://doi.org/10.1016/j.apenergy.2014.03.053openalex-snapshot
Techno-economic analysis of liquid fuel production from woody biomass via hydrothermal liquefaction (HTL) and upgrading
inferredcites →https://doi.org/10.1016/j.bbabio.2017.05.007openalex-snapshot
Comparative study of thylakoid membranes in terminal heterocysts and vegetative cells from two cyanobacteria, Rivularia M-261 and Anabaena variabilis, by fluorescence and absorption spectral microscopy
inferredcites →https://doi.org/10.1016/j.bej.2021.108072openalex-snapshot
Artificial neural network (ANN) approach to optimize cultivation conditions of microalga Chlorella vulgaris in view of biodiesel production
inferredcites →https://doi.org/10.1016/j.biortech.2003.07.009openalex-snapshot
Synthesis and characterization of vegetable oil derived esters: evaluation for their diesel additive properties
inferredcites →https://doi.org/10.1016/j.biortech.2009.09.093openalex-snapshot
Artificial neural network modeling and genetic algorithm based medium optimization for the improved production of marine biosurfactant
inferredcites →https://doi.org/10.1016/j.biortech.2009.11.079openalex-snapshot
Biological treatment of a dye solution by Macroalgae Chara sp.: Effect of operational parameters, intermediates identification and artificial neural network modeling
inferredcites →https://doi.org/10.1016/j.biortech.2010.06.028openalex-snapshot
Potential yields and properties of oil from the hydrothermal liquefaction of microalgae with different biochemical content
inferredcites →https://doi.org/10.1016/j.biortech.2010.06.072openalex-snapshot
Medium optimization for ethanol production with Clostridium autoethanogenum with carbon monoxide as sole carbon source
inferredcites →https://doi.org/10.1016/j.biortech.2011.03.108openalex-snapshot
Modeling and optimization of fermentative hydrogen production
inferredcites →https://doi.org/10.1016/j.biortech.2011.11.103openalex-snapshot
Effects of cultivation conditions and media composition on cell growth and lipid productivity of indigenous microalga Chlorella vulgaris ESP-31
inferredcites →https://doi.org/10.1016/j.biortech.2011.11.105openalex-snapshot
Flocculation of Chlorella vulgaris induced by high pH: Role of magnesium and calcium and practical implications
inferredcites →https://doi.org/10.1016/j.biortech.2013.04.106openalex-snapshot
Use of artificial neural network (ANN) for the development of bioprocess using Pinus roxburghii fallen foliages for the release of polyphenols and reducing sugars
inferredcites →https://doi.org/10.1016/j.biortech.2013.07.141openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.biortech.2014.04.013openalex-snapshot
A general kinetic model for the hydrothermal liquefaction of microalgae
inferredcites →https://doi.org/10.1016/j.biortech.2014.05.119openalex-snapshot
The migration and transformation behavior of heavy metals during the liquefaction process of sewage sludge
inferredcites →https://doi.org/10.1016/j.biortech.2014.09.132openalex-snapshot
Hydrothermal liquefaction of biomass: Developments from batch to continuous process
inferredcites →https://doi.org/10.1016/j.biortech.2016.04.068openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.biortech.2016.09.014openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.biortech.2018.01.101openalex-snapshot
Investigation on the feasibility of Chlorella vulgaris cultivation in a mixture of pulp and aquaculture effluents: Treatment of wastewater and lipid extraction
inferredcites →https://doi.org/10.1016/j.biortech.2021.126011openalex-snapshot
Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algae
inferredcites →https://doi.org/10.1016/j.biortech.2021.126278openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.biortech.2022.128547openalex-snapshot
Machine learning for hydrothermal treatment of biomass: A review
inferredcites →https://doi.org/10.1016/j.biotechadv.2007.02.001openalex-snapshot
Biodiesel from microalgae
inferredcites →https://doi.org/10.1016/j.biotechadv.2011.05.016openalex-snapshot
Algal chemodiversity and bioactivity: Sources of natural variability and implications for commercial application
inferredcites →https://doi.org/10.1016/j.biotechadv.2011.11.008openalex-snapshot
Microalgae biofuels: A critical review of issues, problems and the way forward
inferredcites →https://doi.org/10.1016/j.cattod.2017.05.012openalex-snapshot
Statistical review of dry reforming of methane literature using decision tree and artificial neural network analysis
inferredcites →https://doi.org/10.1016/j.cej.2020.126030openalex-snapshot
Nitrogen in bio-oil produced from hydrothermal liquefaction of biomass: A review
inferredcites →https://doi.org/10.1016/j.cej.2022.136579openalex-snapshot
Machine learning predicts and optimizes hydrothermal liquefaction of biomass
inferredcites →https://doi.org/10.1016/j.ceja.2023.100474openalex-snapshot
Microalgae for biofuel: Isothermal pyrolysis of a fresh and a marine microalga with mass and energy assessment
inferredcites →https://doi.org/10.1016/j.cep.2004.01.004openalex-snapshot
Biomass conversions in subcritical and supercritical water: driving force, phase equilibria, and thermodynamic analysis
inferredcites →https://doi.org/10.1016/j.chemosphere.2019.124680openalex-snapshot
Use of microalgae based technology for the removal of antibiotics from wastewater: A review
inferredcites →https://doi.org/10.1016/j.chemosphere.2021.130758openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.chemosphere.2025.144709openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.copbio.2016.01.004openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.cscee.2023.100330openalex-snapshot
Potentials of algae-based activated carbon for the treatment of M.orange in wastewater
inferredcites →https://doi.org/10.1016/j.ecoenv.2020.111118openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.enconman.2010.06.010openalex-snapshot
Use of algae as biofuel sources
inferredcites →https://doi.org/10.1016/j.enconman.2010.06.055openalex-snapshot
Importance of algae oil as a source of biodiesel
inferredcites →https://doi.org/10.1016/j.enconman.2015.03.092openalex-snapshot
Optimization of acidified oil esterification catalyzed by sulfonated cation exchange resin using response surface methodology
inferredcites →https://doi.org/10.1016/j.enconman.2019.02.066openalex-snapshot
Artificial neural network modeling and analysis of photovoltaic/thermal system based on the experimental study
inferredcites →https://doi.org/10.1016/j.enconman.2023.117430openalex-snapshot
Machine learning models for fast and isothermal hydrothermal liquefaction of biomass: Comprehensive experiment and prediction of various product fraction yields
inferredcites →https://doi.org/10.1016/j.energy.2021.120428openalex-snapshot
Application of adaptive neuro-fuzzy inference system and response surface methodology in biodiesel synthesis from jatropha–algae oil and its performance and emission analysis on diesel engine coupled with generator
inferredcites →https://doi.org/10.1016/j.enpol.2007.04.003openalex-snapshot
Importance of biodiesel as transportation fuel
inferredcites →https://doi.org/10.1016/j.fuel.2016.03.031openalex-snapshot
Estimation of coal gross calorific value based on various analyses by random forest method
inferredcites →https://doi.org/10.1016/j.fuel.2020.118254openalex-snapshot
Process parameter optimization of biodiesel production from algal oil by response surface methodology and artificial neural networks
inferredcites →https://doi.org/10.1016/j.fuel.2020.119815openalex-snapshot
Numerical and experimental evaluation on the pooled effect of waste cooking oil biodiesel/diesel blends and exhaust gas recirculation in a twin-cylinder diesel engine
inferredcites →https://doi.org/10.1016/j.fuel.2020.119948openalex-snapshot
Influence of fish oil and waste cooking oil as post mixed binary biodiesel blends on performance improvement and emission reduction in diesel engine
inferredcites →https://doi.org/10.1016/j.fuel.2022.126995openalex-snapshot
Nitrogen heterocycles in bio-oil produced from hydrothermal liquefaction of biomass: A review
inferredcites →https://doi.org/10.1016/j.fuproc.2010.08.017openalex-snapshot
Acid base catalyzed transesterification kinetics of waste cooking oil
inferredcites →https://doi.org/10.1016/j.fuproc.2019.04.003openalex-snapshot
Hydrothermal liquefaction of Chlorella vulgaris and Nannochloropsis gaditana in a continuous stirred tank reactor and hydrotreating of biocrude by nickel catalysts
inferredcites →https://doi.org/10.1016/j.ijid.2018.04.3503openalex-snapshot
Joint external evaluation of IHR core capacities of the Islamic Republic of Pakistan, 2016
inferredcites →https://doi.org/10.1016/j.jbiotec.2020.02.010openalex-snapshot
Development of an artificial neural network model to simulate the growth of microalga Chlorella vulgaris incorporating the effect of micronutrients
inferredcites →https://doi.org/10.1016/j.jbiotec.2022.08.001openalex-snapshot
Maximization of growth and lipid production of a toxic isolate of Anabaena circinalis by optimization of various parameters with mathematical modeling and computational validation
inferredcites →https://doi.org/10.1016/j.jenvman.2018.10.017openalex-snapshot
Modelling dye removal by adsorption onto water treatment residuals using combined response surface methodology-artificial neural network approach
inferredcites →https://doi.org/10.1016/j.jhazmat.2007.11.027openalex-snapshot
Modeling photosynthetically oxygenated biodegradation processes using artificial neural networks
inferredcites →https://doi.org/10.1016/j.jwpe.2020.101761openalex-snapshot
Artificial neural network and techno-economic estimation with algae-based tertiary wastewater treatment
inferredcites →https://doi.org/10.1016/j.nexus.2022.100042openalex-snapshot
A review on the modelling of hydrothermal liquefaction of biomass and waste feedstocks
inferredcites →https://doi.org/10.1016/j.psep.2020.07.018openalex-snapshot
A bioassimilation and bioaccumulation model for the removal of heavy metals from wastewater using algae: New strategy
inferredcites →https://doi.org/10.1016/j.renene.2019.07.135openalex-snapshot
Kinetic study of the pyrolysis of microalgae under nitrogen and CO2 atmosphere
inferredcites →https://doi.org/10.1016/j.rser.2009.10.009openalex-snapshot
Biofuels from microalgae—A review of technologies for production, processing, and extractions of biofuels and co-products
inferredcites →https://doi.org/10.1016/j.rser.2010.07.047openalex-snapshot
Biodiesel production from Jatropha curcas oil
inferredcites →https://doi.org/10.1016/j.rser.2013.11.003openalex-snapshot
Microalgal biofuels: Flexible bioenergies for sustainable development
inferredcites →https://doi.org/10.1016/j.rser.2015.04.037openalex-snapshot
Applications of fuzzy logic in renewable energy systems – A review
inferredcites →https://doi.org/10.1016/j.rser.2015.04.049openalex-snapshot
A review of bio-oil production from hydrothermal liquefaction of algae
inferredcites →https://doi.org/10.1016/j.rser.2015.11.001openalex-snapshot
Trends and novel strategies for enhancing lipid accumulation and quality in microalgae
inferredcites →https://doi.org/10.1016/j.rser.2015.12.185openalex-snapshot
Lignocellulosic biomass pyrolysis: A review of product properties and effects of pyrolysis parameters
inferredcites →https://doi.org/10.1016/j.rser.2017.05.178openalex-snapshot
A review on hydrothermal liquefaction of biomass
inferredcites →https://doi.org/10.1016/j.rser.2020.110204openalex-snapshot
Rice bran oil-based biodiesel as a promising renewable fuel alternative to petrodiesel: A review
inferredcites →https://doi.org/10.1016/j.saa.2015.11.011openalex-snapshot
The use of artificial neural network for modelling of phycoremediation of toxic elements As(III) and As(V) from wastewater using Botryococcus braunii
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.147861openalex-snapshot
Valorization of swine wastewater in a circular economy approach: Effects of hydraulic retention time on microalgae cultivation
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.148362openalex-snapshot
Evaluation of high rate ponds operational and design strategies for algal biomass production and domestic wastewater treatment
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.148428openalex-snapshot
Cultivating Scenedesmus dimorphus in lactic acid wastewater for cost-effective biodiesel production
inferredcites →https://doi.org/10.1016/j.watres.2013.10.036openalex-snapshot
Capability of different microalgae species for phytoremediation processes: Wastewater tertiary treatment, CO2 bio-fixation and low cost biofuels production
inferredcites →https://doi.org/10.1016/s0043-1354(00)00464-4openalex-snapshot
Use of artificial neural network in the prediction of algal blooms
inferredcites →https://doi.org/10.1016/s0304-3800(02)00281-8openalex-snapshot
Neural network modelling of coastal algal blooms
inferredcites →https://doi.org/10.1021/acs.analchem.0c01863openalex-snapshot
Sensitivity for Multivariate Calibration Based on Multilayer Perceptron Artificial Neural Networks
inferredcites →https://doi.org/10.1021/acs.energyfuels.0c01893openalex-snapshot
Prediction of Bio-oil Yield and Hydrogen Contents Based on Machine Learning Method: Effect of Biomass Compositions and Pyrolysis Conditions
inferredcites →https://doi.org/10.1021/cr068360dopenalex-snapshot
Synthesis of Transportation Fuels from Biomass: Chemistry, Catalysts, and Engineering
inferredcites →https://doi.org/10.1021/ef070044uopenalex-snapshot
Historical Developments in Hydroprocessing Bio-oils
inferredcites →https://doi.org/10.1021/ef501040jopenalex-snapshot
Hydrothermal Liquefaction of Microalgae in an Ethanol–Water Co-Solvent To Produce Biocrude Oil
inferredcites →https://doi.org/10.1038/s41598-023-43496-xopenalex-snapshot
Applying feature selection and machine learning techniques to estimate the biomass higher heating value
inferredcites →https://doi.org/10.1039/d4su00737aopenalex-snapshot
General component additivity, reaction engineering, and machine learning models for hydrothermal liquefaction
inferredcites →https://doi.org/10.1080/09593330903370018openalex-snapshot
Application of microalgaChlamydomonassp. for biosorptive removal of a textile dye from contaminated water: Modelling by a neural network
inferredcites →https://doi.org/10.1080/10643389.2014.966426openalex-snapshot
Microalgae: Fast-Growth Sustainable Green Factories
inferredcites →https://doi.org/10.1080/10826068.2016.1275013openalex-snapshot
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inferredcites →https://doi.org/10.1080/13102818.2016.1269616openalex-snapshot
Artificial neural networks: an efficient tool for modelling and optimization of biofuel production (a mini review)
inferredcites →https://doi.org/10.1080/15567030701521809openalex-snapshot
Biodegradability of Biodiesel and Petrodiesel Fuels
inferredcites →https://doi.org/10.1080/19942060.2018.1452296openalex-snapshot
Computational intelligence approach for modeling hydrogen production: a review
inferredcites →https://doi.org/10.1080/20464177.2018.1532734openalex-snapshot
Prediction of the density and viscosity of biodiesel and the influence of biodiesel properties on a diesel engine fuel supply system
inferredcites →https://doi.org/10.1139/cjfas-2013-0654openalex-snapshot
Using artificial intelligence for CyanoHAB niche modeling: discovery and visualization of Microcystis–environmental associations within western Lake Erie
inferredcites →https://doi.org/10.1155/2022/3690635openalex-snapshot
Optimization of Oil Yield from the Macro Algae Spirogyra by Solvent Extraction Process Using RSM and ANN
inferredcites →https://doi.org/10.1186/s12896-023-00784-8openalex-snapshot
Lipid extraction and analysis of microalgae strain pectinodesmus PHM3 for biodiesel production
inferredcites →https://doi.org/10.18331/brj2023.10.1.4openalex-snapshot
Machine-learning-aided thermochemical treatment of biomass: a review
inferredcites →https://doi.org/10.2175/106143097x125191openalex-snapshot
Effects of temperature and pH on the kinetic growth of unialga Chlorella vulgaris cultures containing bacteria
inferredcites →https://doi.org/10.2478/pomr-2020-0067openalex-snapshot
Preliminary Analysis of the Use of Solid Biofuels in a Ship’s Power System
inferredcites →https://doi.org/10.3390/en17215254openalex-snapshot
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inferredcites →https://doi.org/10.3390/su16072619openalex-snapshot
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inferredcites →https://doi.org/10.3390/su17072964openalex-snapshot
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inferredcites →https://doi.org/10.3390/su17083615openalex-snapshot
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inferredcites →https://doi.org/10.3390/thermo4010007openalex-snapshot
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inferredcites →https://doi.org/10.3390/w14244046openalex-snapshot
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inferredcites →https://doi.org/10.4018/978-1-930708-26-6.ch015openalex-snapshot
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