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Title
Machine learning technology in biodiesel research: A review
Authors
Keywords
Machine learning, Artificial neural network, Biodiesel systems, Transesterification, Modeling, Control
Journal
PROGRESS IN ENERGY AND COMBUSTION SCIENCE
Volume 85, Issue -, Pages 100904
Publisher
Elsevier BV
Online
2021-03-14
DOI
10.1016/j.pecs.2021.100904
References
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- Brette Pearl Spar Mable (BPSM): a potential recoverable catalyst as a renewable source of biodiesel from Thevetia peruviana seed oil for the benefit of sustainable development in West Africa
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- Artificial neural network–genetic algorithm-based optimization of biodiesel production from Simarouba glauca
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- Artificial Neural Network Modeling and Sensitivity Analysis of Performance and Emissions in a Compression Ignition Engine Using Biodiesel Fuel
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- Comparison of viscosity prediction capabilities of regression models and artificial neural networks
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- A comprehensive review on the environmental impacts of diesel/biodiesel additives
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- Toward prediction of kinematic viscosity of biodiesel using a robust approach
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- Performance evaluation of adaptive neuro-fuzzy inference system and response surface methodology in modeling biodiesel synthesis from jatropha–algae oil
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- Modeling diesel engine fueled with tamanu oil - Diesel blend by hybridizing neural network with firefly algorithm
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- Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters
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- Optimizing Biodiesel Production from Waste Cooking Oil Using Genetic Algorithm-Based Support Vector Machines
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- Assessment of diesel engine performance using spirulina microalgae biodiesel
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- A Composition-Based Model to Predict and Optimize Biodiesel-Fuelled Engine Characteristics Using Artificial Neural Networks and Genetic Algorithms
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- Appending empirical modelling to numerical solution for behaviour characterisation of microalgae biodiesel
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- Computational modeling of biodiesel production using supercritical methanol
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- Comparison of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) in modelling of waste coconut oil ethyl esters production
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- Prediction of jatropha-algae biodiesel blend oil yield with the application of artificial neural networks technique
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- Optimization and modeling of biodiesel production using fluorite as a heterogeneous catalyst
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- Multi-objective exergetic and technical optimization of a piezoelectric ultrasonic reactor applied to synthesize biodiesel from waste cooking oil (WCO) using soft computing techniques
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- State of the art review on development of ultrasound-assisted catalytic transesterification process for biodiesel production
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- Biodiesel purification by column chromatography and liquid-liquid extraction using green solvents
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- Emission and injection characteristics of corn biodiesel blends in diesel engine
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- Viscosities of some fatty acid esters and biodiesel fuels from a rough hard-sphere-chain model and artificial neural network
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- Direct and simultaneous determination of four phenolic antioxidants in biodiesel using differential pulse voltammetry assisted by artificial neural networks and variable selection by decision trees
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- Saraca asoca seeds – A novel candidature for biodiesel production: Studies on yield optimization using ANN coupled GA and properties of biodiesel blends
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- Multiple regression and genetic programming for coal higher heating value estimation
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- Combustion Performance Study of Aqueous Aluminum Oxide Nanofluid Blends in Compression Ignition Engine
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- Optimization of methyl ester production from Prunus Amygdalus seed oil using response surface methodology and Artificial Neural Networks
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- Application of the self-organizing map in the classification of natural antioxidants in commercial biodiesel
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- A study on the effects of compositional variations of biodiesel fuel on its physiochemical properties
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- Study on decanol and Calophyllum Inophyllum biodiesel as ternary blends in CI engine
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- Microwave mediated production of FAME from waste cooking oil: Modelling and optimization of process parameters by RSM and ANN approach
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- An artificial neural network-based NRTL model for simulating liquid-liquid equilibria of systems present in biofuels production
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- Modeling of a dual fueled diesel engine operated by a novel fuel containing glycerol triacetate additive and biodiesel using artificial neural network tuned by genetic algorithm to reduce engine emissions
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- A Short-Term Load Forecasting Model with a Modified Particle Swarm Optimization Algorithm and Least Squares Support Vector Machine Based on the Denoising Method of Empirical Mode Decomposition and Grey Relational Analysis
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- A decision support system to evaluate the optimum fuel blend in an IC engine to enhance the energy efficiency and energy management
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- Comparative assessment of performance and emission characteristics of castor, coconut and waste cooking based biodiesel as fuel in a diesel engine
- (2017) Parvaneh Zareh et al. ENERGY
- Spray characteristics, engine performance and emissions analysis for Karanja biodiesel and its blends
- (2017) Sanghoon Lee et al. ENERGY
- Optimization of transesterification process for Ceiba pentandra oil: A comparative study between kernel-based extreme learning machine and artificial neural networks
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- Effect of biodiesel-diesel- n -pentanol and biodiesel-diesel- n -hexanol blends on diesel engine emission and combustion characteristics
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- Harnessing the synergies between lipid-based crystallization modifiers and a polymer pour point depressant to improve pour point of biodiesel
- (2017) Athira Mohanan et al. ENERGY
- Fuzzy modeling and optimization of the synthesis of biodiesel from waste cooking oil (WCO) by a low power, high frequency piezo-ultrasonic reactor
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- Emission, injection and combustion characteristics of biodiesel and oxygenated fuel blends in a common rail diesel engine
- (2017) Ertan Alptekin ENERGY
- Predicting Cetane Index, Flash Point, and Content Sulfur of Diesel–Biodiesel Blend Using an Artificial Neural Network Model
- (2017) Fernanda M. de Oliveira et al. ENERGY & FUELS
- Exergy-based sustainability analysis of a low power, high frequency piezo-based ultrasound reactor for rapid biodiesel production
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- Neat diesel beats waste-oriented biodiesel from the exergoeconomic and exergoenvironmental point of views
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- Biodiesel production by lipase-catalyzed transesterification of Ocimum basilicum L. (sweet basil) seed oil
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- Optimization of biodiesel production from Thevetia peruviana seed oil by adaptive neuro-fuzzy inference system coupled with genetic algorithm and response surface methodology
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- Process parameter assessment of biodiesel production from a Jatropha–algae oil blend by response surface methodology and artificial neural network
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- Application of LSSVM for biodiesel production using supercritical ethanol solvent
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- Prediction of density and kinematic viscosity of biodiesel by artificial neural networks
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- Application of ANFIS strategy for prediction of biodiesel production using supercritical methanol
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- Biodiesel conversion modeling under several conditions using computational intelligence methods
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- Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine
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- Emission analysis on the effect of nanoparticles on neat biodiesel in unmodified diesel engine
- (2017) Amith Kishore Pandian et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Experimental and artificial neural network approach of noise and vibration characteristic of an unmodified diesel engine fuelled with conventional diesel, and biodiesel blends with natural gas addition
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- Performance and emission characteristics of a CI engine using nano particles additives in biodiesel-diesel blends and modeling with GP approach
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- Combustion and emission characteristics of a direct injection diesel engine fueled with biodiesel and PODE/biodiesel fuel blends
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- A novel emulsion fuel containing aqueous nano cerium oxide additive in diesel–biodiesel blends to improve diesel engines performance and reduce exhaust emissions: Part II – Exergetic analysis
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- Predicting the properties of biodiesel and its blends using mid-FT-IR spectroscopy and first-order multivariate calibration
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- A comparative study of combustion, emission, and performance characteristics of rice-bran-, neem-, and cottonseed-oil biodiesels with varying degree of unsaturation
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- Experimental and artificial neural network based prediction of performance and emission characteristics of DI diesel engine using Calophyllum inophyllum methyl ester at different nozzle opening pressure
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- An Extreme Learning Machine Architecture Based on Volterra Filtering and PCA
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- Online Performance Monitoring and Modeling Paradigm Based on Just-in-Time Learning and Extreme Learning Machine for a Non-Gaussian Chemical Process
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- Improving combustion characteristics of diesel and biodiesel droplets by graphite oxide addition for diesel engine applications
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- Evaluation of vibration characteristics of a hydroxyl (HHO) gas generator installed diesel engine fuelled with different diesel–biodiesel blends
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- Evaluation of fuel consumption and vibration characteristic of a compression ignition engine fuelled with high viscosity biodiesel and hydrogen addition
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- A multiobjective approach in constructing a predictive model for Fischer-Tropsch synthesis
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- Exergy-based optimization of direct conversion of microalgae biomass to biodiesel
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- A review of cleaner intensification technologies in biodiesel production
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- Experimental study and prediction of the performance and exhaust emissions of mixed Jatropha curcas-Ceiba pentandra biodiesel blends in diesel engine using artificial neural networks
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- Daily PM 2.5 concentration prediction based on principal component analysis and LSSVM optimized by cuckoo search algorithm
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- Application of Genetic Programing technique for predicting Uniaxial Compressive Strength using reservoir formation properties
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- Developing of ANN model for prediction of performance and emission characteristics of VCR engine with orange oil biodiesel blends
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- Hybrid nero-fuzzy methods for estimation of ultrasound and mechanically stirring Influences on biodiesel synthesis through transesterification
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- An Efficient Approach for Lipase-Catalyzed Synthesis of Retinyl Laurate Nutraceutical by Combining Ultrasound Assistance and Artificial Neural Network Optimization
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- Attesting compliance of biodiesel quality using composition data and classification methods
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- Comparison of different artificial neural network architectures in modeling of Chlorella sp. flocculation
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- Impacts of additives on performance and emission characteristics of diesel engines during steady state operation
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- Biodiesel fuels
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- State of the art of biodiesel production under supercritical conditions
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- Application of soft computing methods for grid connected PV system: A technological and status review
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- Modeling the energy ratio and productivity of biodiesel with different reactor dimensions and ultrasonic power using ANFIS
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- A comprehensive review on performance, combustion and emission characteristics of biodiesel fuelled diesel engines
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- Ignition delay, combustion and emission characteristics of Diesel engine fueled with rapeseed biodiesel – A literature review
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- Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology
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- A review on the prospects of sustainable biodiesel production: A global scenario with an emphasis on waste-oil biodiesel utilization
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- An Extreme Learning Machine Architecture Based on Volterra Filtering and PCA
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- Performance evaluation of cottonseed oil methyl esters produced using CaO and prediction with an artificial neural network
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- Hevea brasiliensis (rubber seed) oil: modeling and optimization of extraction process parameters using response surface methodology and artificial neural network techniques
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- A genetic algorithm-based artificial neural network model with TOPSIS approach to optimize the engine performance
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- Ultrasound-assisted biodiesel production from waste cooking oil using hydrotalcite prepared by combustion method as catalyst
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- Experimental assessment of performance and emissions maps for biodiesel fueled compression ignition engine
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- Support vector machine-based exergetic modelling of a DI diesel engine running on biodiesel–diesel blends containing expanded polystyrene
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- Multi-objective optimization of transesterification in biodiesel production catalyzed by immobilized lipase
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- Artificial neural networks: an efficient tool for modelling and optimization of biofuel production (a mini review)
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- Analysis and Optimization of Ultrasound-Assisted Alkaline Palm Oil Transesterification by RSM and ANN-GA
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- 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)
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- Wear element analysis using neural networks of a DI diesel engine using biodiesel with exhaust gas recirculation
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- The use of ELM-WT (extreme learning machine with wavelet transform algorithm) to predict exergetic performance of a DI diesel engine running on diesel/biodiesel blends containing polymer waste
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- Higher heating value determination of wheat straw from Baja California, Mexico
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- Predicting the Cetane Number of Biodiesel Fuels from Their Fatty Acid Methyl Ester Composition
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- Discriminant Analysis and Cluster Analysis of Biodiesel Fuel Blends Based on Fourier Transform Infrared Spectroscopy (FTIR)
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- Exact estimation of biodiesel cetane number (CN) from its fatty acid methyl esters (FAMEs) profile using partial least square (PLS) adapted by artificial neural network (ANN)
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- Statistical modeling/optimization and process intensification of microwave-assisted acidified oil esterification
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- Predictive capability evaluation of RSM, ANFIS and ANN: A case of reduction of high free fatty acid of palm kernel oil via esterification process
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- Artificial neural network prediction of NOxemissions from EGR and non-EGR engines running on soybean biodiesel fuel (B5) during cold idle mode
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- Comparison of empirical equations and artificial neural network results in terms of kinematic viscosity prediction of fuels based on hazelnut oil methyl ester
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- Kinetics of transesterification of palm oil under conventional heating and microwave irradiation, using CaO as heterogeneous catalyst
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- Comparison of performance and emissions characteristics of DI CI engine fueled with dual biodiesel blends of palm and jatropha
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- Assessment of performance, emission and combustion characteristics of palm, jatropha and Calophyllum inophyllum biodiesel blends
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- Glycerolysis of palm fatty acid distillate for biodiesel feedstock under different reactor conditions
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- Influence of engine load and speed on regulated and unregulated emissions of a diesel engine fueled with diesel fuel blended with waste cooking oil biodiesel
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- Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine
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- A comparative study between Modified Data Envelopment Analysis and Response Surface Methodology for optimisation of heterogeneous biodiesel production from waste cooking palm oil
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- Preparation of alkaline polymer catalyst by radiation induced grafting for transesterification of triacetin under neural network optimized conditions
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- Impact of tamanu oil-diesel blend on combustion, performance and emissions of diesel engine and its prediction methodology
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- Sensitivity analysis of catalyzed-transesterification as a renewable and sustainable energy production system by adaptive neuro-fuzzy methodology
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- Highly Efficient Synthesis of an Emerging Lipophilic Antioxidant: 2-Ethylhexyl Ferulate
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- (2016) Seyed Vahid Mirnezami et al. NEURAL COMPUTING & APPLICATIONS
- Extreme learning machine and adaptive sparse representation for image classification
- (2016) Jiuwen Cao et al. NEURAL NETWORKS
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- (2016) Wan-Yu Deng et al. NEURAL NETWORKS
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- Multivariate alternating decision trees
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- Review on various modelling techniques for the solar dryers
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- Prediction and application of solar radiation with soft computing over traditional and conventional approach – A comprehensive review
- (2016) Sthitapragyan Mohanty et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A comprehensive review on properties of edible and non-edible vegetable oil-based biodiesel: Composition, specifications and prediction models
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- Effect of an emission-reducing soluble hybrid nanocatalyst in diesel/biodiesel blends on exergetic performance of a DI diesel engine
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- Analysis of blended fuel properties and engine performance with palm biodiesel–diesel blended fuel
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- The role of nano additives for biodiesel and diesel blended transportation fuels
- (2016) Vijayakumar Chandrasekaran et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Application of Hybrid Neural Fuzzy System (ANFIS) in Food Processing and Technology
- (2016) Majdi Al-Mahasneh et al. Food Engineering Reviews
- Vibration analysis of a diesel engine using biodiesel fuel blended with nano particles by dual fueling of hydrogen
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- Exploratory analysis of biodiesel/diesel blends by Kohonen neural networks and infrared spectroscopy
- (2015) Carlos Eduardo Cardoso Galhardo et al. Analytical Methods
- A new approach for dynamic fuzzy logic parameter tuning in Ant Colony Optimization and its application in fuzzy control of a mobile robot
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- Investigation of the usability of biodiesel obtained from residual frying oil in a diesel engine with thermal barrier coating
- (2015) Selman Aydin et al. APPLIED THERMAL ENGINEERING
- Prediction of Kinematic Viscosities of Biodiesels Derived from Edible and Non-edible Vegetable Oils by Using Artificial Neural Networks
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- Application of Artificial Neural Networks (ANNs) in Drying Technology: A Comprehensive Review
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- Exergy analysis of biohydrogen production from various carbon sources via anaerobic photosynthetic bacteria ( Rhodospirillum rubrum )
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- Electricity consumption forecasting models for administration buildings of the UK higher education sector
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- Optimization of KOH-catalyzed methanolysis of hempseed oil
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- Optimization of sunflower oil ethanolysis catalyzed by calcium oxide: RSM versus ANN-GA
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- Evaluation of combustion, performance, and emissions of optimum palm–coconut blend in turbocharged and non-turbocharged conditions of a diesel engine
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- Improving exergetic and sustainability parameters of a DI diesel engine using polymer waste dissolved in biodiesel as a novel diesel additive
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- Discriminating rapeseed varieties using computer vision and machine learning
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- Modeling of ultrasound assisted intensification of biodiesel production from neem (Azadirachta indica) oil using response surface methodology and artificial neural network
- (2015) J. Prakash Maran et al. FUEL
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- Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction
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