Gene expression programming-based model prediction of performance and emission characteristics of a diesel engine fueled with linseed oil biodiesel/diesel blends: An artificial intelligence approach

Characterization of emission-performance paradigm of a DI-CI engine using artificial intelligent based multi objective response surface methodology model fueled with diesel-biodiesel blends

(2020) Kiran Kumar Billa et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Experimental study on diesel engine working characteristics using yellow oleander biodiesel with the effect of different injection timings

(2020) Kuppusamy Rajan et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Multidimensional assessment of a photovoltaic air collector integrated phase changing material considering Mexican climatic conditions

(2020) Rasikh Tariq et al.   ENERGY

Optimization of diesel engine operating parameters fueled with palm oil-diesel blend: Comparative evaluation between response surface methodology (RSM) and artificial neural network (ANN)

(2020) Samet Uslu   FUEL

Effect of fuel injection pressure and timing on Polanga (Calophyllum Inophyllum) biodiesel blends for engine performance and emissions analysis

(2019) Abhishek Sharma et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Emissions and performance of a diesel engine affected by soybean, linseed, and crambe biodiesel

(2019) Danilo Leite et al.   INDUSTRIAL CROPS AND PRODUCTS

Grey-Taguchi and ANN based optimization of a better performing low-emission diesel engine fueled with biodiesel

(2019) M. Gul et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Experimental studies on performance and exhaust emission characteristics of a diesel engine fuelled with diesel-linseed oil methyl ester (LOME) blends

(2019) Wasim Akram et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Determining the effects of 2-ethylhexyl nitrate blend on isolated diesel engine attributes using the experimental and ANN approaches

(2019) Huseyin Sevinc et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Performance characteristics of a variable compression ratio CI engine simulation using artificial neural network

(2019) T. Ashok Kumar et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

The effects of fuel injection pressure on combustion and emission characteristics of a diesel engine using frying oil methyl ester

(2019) Krishnamani Selvaraj et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

A review on feedstocks, production processes, and yield for different generations of biodiesel

(2019) Digambar Singh et al.   FUEL

Characterization of performance-emission indices of a diesel engine using ANFIS operating in dual-fuel mode with LPG

(2018) Amitav Chakraborty et al.   HEAT AND MASS TRANSFER

Effect of operating parameters and antioxidant additives with biodiesels to improve the performance and reducing the emissions in a compression ignition engine – A review

(2018) Senthil Ramalingam et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Impact of various blends of linseed oil-derived biodiesel on combustion and particle emissions of a compression ignition engine – A comparison with diesel and soybean fuels

(2018) Mark Veinblat et al.   ENERGY CONVERSION AND MANAGEMENT

An experimental investigation of performance and emission of thumba biodiesel using butanol as an additive in an IDI CI engine and analysis of results using multi-objective fuzzy-based genetic algorithm

(2018) Rabisankar Debnath et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Artificial intelligence based gene expression programming (GEP) model prediction of Diesel engine performances and exhaust emissions under Diesosenol fuel strategies

(2018) Subrata Bhowmik et al.   FUEL

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

(2017) Kerimcan Çelebi et al.   FUEL

A review of production, properties and advantages of biodiesel

(2017) Vijay Kumar Mishra et al.   Biofuels-UK

Development and validation of a GEP model to predict the performance and exhaust emission parameters of a CRDI assisted single cylinder diesel engine coupled with EGR

(2015) Sumit Roy et al.   APPLIED ENERGY

Adaptive-neuro fuzzy inference system (ANFIS) based prediction of performance and emission parameters of a CRDI assisted diesel engine under CNG dual-fuel operation

(2015) Sumit Roy et al.   Journal of Natural Gas Science and Engineering

Exhaust emissions prognostication for DI diesel group-hole injectors using a supervised artificial neural network approach

(2014) Hadi Taghavifar et al.   FUEL

A comparative study of GEP and an ANN strategy to model engine performance and emission characteristics of a CRDI assisted single cylinder diesel engine under CNG dual-fuel operation

(2014) Sumit Roy et al.   Journal of Natural Gas Science and Engineering

Prediction performance of PEM fuel cells by gene expression programming

(2012) Ali Nazari   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Performance and Exhaust Emissions of a Diesel Engine Using Hybrid Fuel with an Artificial Neural Network

(2011) P. Shanmugam et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Genetic programming approach to predict a model acidolysis system

(2009) Ozan Nazım Çiftçi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Human health effects of air pollution

(2007) Marilena Kampa et al.   ENVIRONMENTAL POLLUTION

Performance evaluation of a vegetable oil fuelled compression ignition engine

(2007) Deepak Agarwal et al.   RENEWABLE ENERGY