Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions

Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications

(2021) Jihong Park et al.   PROCEEDINGS OF THE IEEE

Machine-learning enabled prediction of 3D spray under engine combustion network spray G conditions

(2021) Joonsik Hwang et al.   FUEL

Machine Learning design of Volume of Fluid schemes for compressible flows

(2020) Bruno Després et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Modelling of instantaneous emissions from diesel vehicles with a special focus on NOx: Insights from machine learning techniques

(2020) Clémence M.A. Le Cornec et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization

(2020) Shiyu Yang et al.   APPLIED ENERGY

Stochastic data-driven model predictive control using gaussian processes

(2020) Eric Bradford et al.   COMPUTERS & CHEMICAL ENGINEERING

Reliability aware multi-objective predictive control for wind farm based on machine learning and heuristic optimizations

(2020) Xiuxing Yin et al.   ENERGY

ENGINE COMBUSTION SYSTEM OPTIMIZATION USING CFD AND MACHINE LEARNING: A METHODOLOGICAL APPROACH

(2020) Jihad A. Badra et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Deep neural network model with Bayesian hyperparameter optimization for prediction of NOx at transient conditions in a diesel engine

(2020) Seunghyup Shin et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A grey-box machine learning based model of an electrochemical gas sensor

(2020) Masoud Aliramezani et al.   SENSORS AND ACTUATORS B-CHEMICAL

Machine learning–based analysis of in-cylinder flow fields to predict combustion engine performance

(2019) Alexander Hanuschkin et al.   International Journal of Engine Research

Prediction Modeling and Analysis of Knocking Combustion using an Improved 0D RGF Model and Supervised Deep Learning

(2019) Seokwon Cho et al.   Energies

Model Predictive Control of Phthalic Anhydride Synthesis in a Fixed-Bed Catalytic Reactor via Machine Learning Modeling

(2019) Zhe Wu et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Integrated analysis of CFD simulation data with K-means clustering algorithm for soot formation under varied combustion conditions

(2019) Wenbin Yu et al.   APPLIED THERMAL ENGINEERING

Estimation of real-driving emissions for buses fueled with liquefied natural gas based on gradient boosted regression trees

(2019) Yingjiu Pan et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes

(2019) Zhe Wu et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Pressure prediction of a spark ignition single cylinder engine using optimized extreme learning machine models

(2019) Viviana Cocco Mariani et al.   APPLIED ENERGY

Machine learning-assisted early ignition prediction in a complex flow

(2019) Pavel P. Popov et al.   COMBUSTION AND FLAME

Transfer learning with deep neural networks for model predictive control of HVAC and natural ventilation in smart buildings

(2019) Yujiao Chen et al.   JOURNAL OF CLEANER PRODUCTION

Data-driven model predictive control using random forests for building energy optimization and climate control

(2018) Francesco Smarra et al.   APPLIED ENERGY

Unsupervised classification of multichannel profile data using PCA: An application to an emission control system

(2018) Massimo Pacella   COMPUTERS & INDUSTRIAL ENGINEERING

Prediction of exhaust emission in transient conditions of a diesel engine fueled with animal fat using Artificial Neural Network and Symbolic Regression

(2018) Aida Domínguez-Sáez et al.   ENERGY

Performance-exhaust emission prediction of diesosenol fueled diesel engine: An ANN coupled MORSM based optimization

(2018) Subrata Bhowmik et al.   ENERGY

Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine

(2018) A.S. Silitonga et al.   ENERGY

Experimental investigation on combustion, noise, vibrations, performance and emissions characteristics of diesel/n-butanol blends driven genset engine

(2018) Dev Prakash Satsangi et al.   FUEL

Iterative Learning Procedure With Reinforcement for High-Accuracy Force Tracking in Robotized Tasks

(2018) Loris Roveda et al.   IEEE Transactions on Industrial Informatics

Characterization of ringing intensity in a hydrogen-fueled HCCI engine

(2018) Rakesh Kumar Maurya et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India

(2018) Binh Thai Pham et al.   International Journal of Sediment Research

Artificial Neural Network-Based Prediction of Performances-Exhaust Emissions of Diesohol Piloted Dual Fuel Diesel Engine Under Varying Compressed Natural Gas Flowrates

(2018) Abhishek Paul et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Multi-mode energy management strategy for fuel cell electric vehicles based on driving pattern identification using learning vector quantization neural network algorithm

(2018) Ke Song et al.   JOURNAL OF POWER SOURCES

Data mining and clustering in chemical process databases for monitoring and knowledge discovery

(2018) Michael C. Thomas et al.   JOURNAL OF PROCESS CONTROL

Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies

(2018) Pak Kin Wong et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Optimal energy management strategy of a hybrid electric vehicle considering engine noise

(2018) M Aliramezani et al.   JOURNAL OF VIBRATION AND CONTROL

Misfire and valve clearance faults detection in the combustion engines based on a multi-sensor vibration signal monitoring

(2018) Kamal Jafarian et al.   MEASUREMENT

Online extreme learning machine based modeling and optimization for point-by-point engine calibration

(2018) Pak Kin Wong et al.   NEUROCOMPUTING

A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel

(2018) I.M. Yusri et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Prediction of cyclic variability in a diesel engine fueled with n-butanol and diesel fuel blends using artificial neural network

(2018) Samet Gürgen et al.   RENEWABLE ENERGY

Event-Based, Timescale Invariant Unsupervised Online Deep Learning With STDP

(2018) Johannes C. Thiele et al.   Frontiers in Computational Neuroscience

Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning

(2018) Chien-Chang Chen et al.   Scientific Reports

Energy Management Strategy for a Hybrid Electric Vehicle Based on Deep Reinforcement Learning

(2018) Yue Hu et al.   Applied Sciences-Basel

Dynamic modeling and model predictive control of an RCCI engine

(2018) A. Raut et al.   CONTROL ENGINEERING PRACTICE

Towards improved partial oxidation product yield in mixed ionic-electronic membrane reactors using CSTR and CFD modelling

(2018) David E. Sommer et al.   CHEMICAL ENGINEERING SCIENCE

Real-time modeling of ringing in HCCI engines using artificial neural networks

(2017) Bahram Bahri et al.   ENERGY

Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system

(2017) Abdul Afram et al.   ENERGY AND BUILDINGS

Optimal calibration of variable biofuel blend dual-injection engines using sparse Bayesian extreme learning machine and metaheuristic optimization

(2017) Ka In Wong et al.   ENERGY CONVERSION AND MANAGEMENT

Modeling and controller design architecture for cycle-by-cycle combustion control of homogeneous charge compression ignition (HCCI) engines – A comprehensive review

(2017) Morteza Fathi et al.   ENERGY CONVERSION AND MANAGEMENT

Screening oxygenates for favorable NOx/smoke trade-off in a DI diesel engine using multi response optimization

(2017) B. Rajesh Kumar et al.   FUEL

Prediction of engine performance and emissions with Manihot glaziovii bioethanol − Gasoline blended using extreme learning machine

(2017) A.H. Sebayang 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

Hybrid RVM–ANFIS algorithm for transformer fault diagnosis

(2017) Jingmin Fan et al.   IET Generation Transmission & Distribution

Optimization of bioethanol production from sorghum grains using artificial neural networks integrated with ant colony

(2017) A.H. Sebayang et al.   INDUSTRIAL CROPS AND PRODUCTS

Unintended Consequences of Machine Learning in Medicine

(2017) Federico Cabitza et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

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

(2017) Surya Dharma et al.   JOURNAL OF CLEANER PRODUCTION

Characteristics of Auto-Ignition in Internal Combustion Engines Operated With Gaseous Fuels of Variable Methane Number

(2017) German Amador et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Knocking combustion in spark-ignition engines

(2017) Zhi Wang et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE

Biomimetic Hybrid Feedback Feedforward Neural-Network Learning Control

(2017) Yongping Pan et al.   IEEE Transactions on Neural Networks and Learning Systems

Improvement of NO and CO predictions for a homogeneous combustion SI engine using a novel emissions model

(2016) Apostolos Karvountzis-Kontakiotis et al.   APPLIED ENERGY

Identification of ringing operation for low temperature combustion engines

(2016) Bahram Bahri et al.   APPLIED ENERGY

Effect of exhaust gas recirculation on advanced diesel combustion and alternate fuels - A review

(2016) J. Thangaraja et al.   APPLIED ENERGY

Effect of oxygen content on n -heptane auto-ignition characteristics in a HCCI engine

(2016) Zhijun Wu et al.   APPLIED ENERGY

Optimal exergy-based control of internal combustion engines

(2016) M. Razmara et al.   APPLIED ENERGY

Deep learning for finance: deep portfolios

(2016) J. B. Heaton et al.   APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY

Support vector machine-based exergetic modelling of a DI diesel engine running on biodiesel–diesel blends containing expanded polystyrene

(2016) Shahaboddin Shamshirband et al.   APPLIED THERMAL ENGINEERING

Experimental and numerical analysis of the performance and exhaust gas emissions of a biogas/n-heptane fueled HCCI engine

(2016) Darko Kozarac et al.   ENERGY

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

(2016) Mortaza Aghbashlo et al.   ENERGY

Development of a PAH (polycyclic aromatic hydrocarbon) formation model for gasoline surrogates and its application for GDI (gasoline direct injection) engine CFD (computational fluid dynamics) simulation

(2016) Yan-zhao An et al.   ENERGY

Extreme learning machine for prediction of heat load in district heating systems

(2016) Shahin Sajjadi et al.   ENERGY AND BUILDINGS

Application of GRNN for the prediction of performance and exhaust emissions in HCCI engine using ethanol

(2016) Harisankar Bendu et al.   ENERGY CONVERSION AND MANAGEMENT

An ELM based predictive control method for HCCI engines

(2016) Vijay Manikandan Janakiraman et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Optimization of biodiesel percentage in fuel mixture and engine operating conditions for diesel engine performance and emission characteristics by Artificial Bees Colony Algorithm

(2016) Alireza Shirneshan et al.   FUEL

Inducing factors and frequency of combustion knock in hydrogen internal combustion engines

(2016) Qing-he Luo et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units

(2016) Mohammad Hossein Rafiei et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

A fault diagnosis approach for diesel engines based on self-adaptive WVD, improved FCBF and PECOC-RVM

(2016) Yu Liu et al.   NEUROCOMPUTING

Stochastic gradient based extreme learning machines for stable online learning of advanced combustion engines

(2016) Vijay Manikandan Janakiraman et al.   NEUROCOMPUTING

A Constrained Optimization based Extreme Learning Machine for noisy data regression

(2016) Shen Yuong Wong et al.   NEUROCOMPUTING

Combustion noise radiation during dynamic diesel engine operation including effects of various biofuel blends: A review

(2016) Evangelos G. Giakoumis et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units

(2016) Mohammad Hossein Rafiei et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks

(2015) Javad Rezaei et al.   APPLIED ENERGY

Research of performance on a spark ignition engine fueled by alcohol–gasoline blends using artificial neural networks

(2015) Murat Kapusuz et al.   APPLIED THERMAL ENGINEERING

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

(2015) Ravinesh C. Deo et al.   ATMOSPHERIC RESEARCH

Evaluating temperature and fuel stratification for heat-release rate control in a reactivity-controlled compression-ignition engine using optical diagnostics and chemical kinetics modeling

(2015) Sage L. Kokjohn et al.   COMBUSTION AND FLAME

An extended mean value model (EMVM) for control-oriented modeling of diesel engines transient performance and emissions

(2015) Kamyar Nikzadfar et al.   FUEL

Analysis of pre-ignition to super-knock: Hotspot-induced deflagration to detonation

(2015) Zhi Wang et al.   FUEL

Automotive Internal-Combustion-Engine Fault Detection and Classification Using Artificial Neural Network Techniques

(2015) Ryan Ahmed et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series

(2015) Adam Vaughan et al.   NEURAL NETWORKS

Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction

(2015) Ka In Wong et al.   NEUROCOMPUTING

Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search

(2015) Pak Kin Wong et al.   RENEWABLE ENERGY

A Fast and Precise Indoor Localization Algorithm Based on an Online Sequential Extreme Learning Machine

(2015) Han Zou et al.   SENSORS

Identification of the Dynamic Operating Envelope of HCCI Engines Using Class Imbalance Learning

(2015) Vijay Manikandan Janakiraman et al.   IEEE Transactions on Neural Networks and Learning Systems

Development of ANN model for prediction of performance and emission characteristics of hydrogen dual fueled diesel engine with Jatropha Methyl Ester biodiesel blends

(2015) Syed Javed et al.   Journal of Natural Gas Science and Engineering

Performance and exhaust emissions prediction of a CRDI assisted single cylinder diesel engine coupled with EGR using artificial neural network

(2014) Sumit Roy et al.   APPLIED ENERGY

Grey-box modeling of HCCI engines

(2014) M. Bidarvatan et al.   APPLIED THERMAL ENGINEERING

Auto-ignition control in turbocharged internal combustion engines operating with gaseous fuels

(2014) Jorge Duarte et al.   ENERGY

From hybrid model predictive control to logical control for shading system: A support vector machine approach

(2014) Khang Le et al.   ENERGY AND BUILDINGS

Handling model uncertainty in model predictive control for energy efficient buildings

(2014) M. Maasoumy et al.   ENERGY AND BUILDINGS

Availability analysis of n-heptane/iso-octane blends during low-temperature engine combustion using a single-zone combustion model

(2014) Hongqing Feng et al.   ENERGY CONVERSION AND MANAGEMENT

Modelling and Prediction of Diesel Engine Performance using Relevance Vector Machine

(2014) Ka In Wong et al.   International Journal of Green Energy

Gray-Box Modeling for Performance Control of an HCCI Engine With Blended Fuels

(2014) M. Bidarvatan et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

Robust and Sparse Linear Programming Twin Support Vector Machines

(2014) M. Tanveer   Cognitive Computation

An intelligent approach for engine fault diagnosis based on Hilbert–Huang transform and support vector machine

(2013) Y.S. Wang et al.   APPLIED ACOUSTICS

Combustion mode switching control in a HCCI diesel engine

(2013) Cheng Fang et al.   APPLIED ENERGY

Understanding and detecting misfire in an HCCI engine fuelled with ethanol

(2013) Bahram Bahri et al.   APPLIED ENERGY

Nonlinear identification of a gasoline HCCI engine using neural networks coupled with principal component analysis

(2013) Vijay Manikandan Janakiraman et al.   APPLIED SOFT COMPUTING

Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set

(2013) Ka In Wong et al.   APPLIED SOFT COMPUTING

Misfire detection of a turbocharged diesel engine by using artificial neural networks

(2013) Bolan Liu et al.   APPLIED THERMAL ENGINEERING

Extreme learning machine: algorithm, theory and applications

(2013) Shifei Ding et al.   ARTIFICIAL INTELLIGENCE REVIEW

Cycle-to-cycle modeling and sliding mode control of blended-fuel HCCI engine

(2013) M. Bidarvatan et al.   CONTROL ENGINEERING PRACTICE

Modeling and optimization of biodiesel engine performance using advanced machine learning methods

(2013) Ka In Wong et al.   ENERGY

Impact of idling on fuel consumption and exhaust emissions and available idle-reduction technologies for diesel vehicles – A review

(2013) S.M. Ashrafur Rahman et al.   ENERGY CONVERSION AND MANAGEMENT

Thermodynamic modeling of partially stratified charge engine characteristics for hydrogen-methane blends at ultra-lean conditions

(2013) Masoud Aliramezani et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Analysis and modeling of exhaust gas temperature in an ethanol fuelled HCCI engine

(2013) Bahram Bahri et al.   Journal of Mechanical Science and Technology

CFD optimization for GDI spray model tuning and enhancement of engine performance

(2012) M. Costa et al.   ADVANCES IN ENGINEERING SOFTWARE

A fast and accurate physics-based model for the NOx emissions of Diesel engines

(2012) Jonas Asprion et al.   APPLIED ENERGY

Model predictive control of HCCI using variable valve actuation and fuel injection

(2012) Nikhil Ravi et al.   CONTROL ENGINEERING PRACTICE

The ubiquity of model-based reinforcement learning

(2012) Bradley B Doll et al.   CURRENT OPINION IN NEUROBIOLOGY

SI and HCCI Combustion Mode Transition Control of an HCCI Capable SI Engine

(2012) Xiaojian Yang et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients

(2012) Ivo Grondman et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Determining Model Accuracy Requirements for Automotive Engine Coldstart Hydrocarbon Emissions Control

(2012) Nasser L. Azad et al.   JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME

An Experimental Investigation of HCCI Combustion Stability Using n-Heptane

(2012) Hailin Li et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Intelligent fault diagnosis method for marine diesel engines using instantaneous angular speed

(2012) Zhixiong Li et al.   Journal of Mechanical Science and Technology

A Twin Multi-Class Classification Support Vector Machine

(2012) Yitian Xu et al.   Cognitive Computation

Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings

(2011) Shivakumar et al.   APPLIED ENERGY

Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends

(2011) Harun Mohamed Ismail et al.   APPLIED ENERGY

Controlling cyclic combustion timing variations using a symbol-statistics predictive approach in an HCCI engine

(2011) Ahmad Ghazimirsaied et al.   APPLIED ENERGY

The engine knock analysis – An overview

(2011) Xudong Zhen et al.   APPLIED ENERGY

Diesel engine condition monitoring using a multi-net neural network system with nonintrusive sensors

(2011) Jacobo Porteiro et al.   APPLIED THERMAL ENGINEERING

Prediction of engine performance for an alternative fuel using artificial neural network

(2011) Yusuf Çay et al.   APPLIED THERMAL ENGINEERING

An Approach for Formulating Surrogates for Gasoline with Application toward a Reduced Surrogate Mechanism for CFD Engine Modeling

(2011) M. Mehl et al.   ENERGY & FUELS

Intelligent Multi-Objective Nonlinear Model Predictive Control (iMO-NMPC): Towards the ‘on-line’ optimization of highly complex control problems

(2011) Juan José Valera García et al.   EXPERT SYSTEMS WITH APPLICATIONS

Physics-Based Model Predictive Control of HCCI Combustion Phasing Using Fast Thermal Management and VVA

(2011) Anders Widd et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Modeling and Control of an Exhaust Recompression HCCI Engine Using Split Injection

(2011) Nikhil Ravi et al.   JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME

Modeling of NOx formation in diesel engines using finite-rate chemical kinetics

(2010) S.M. Aithal   APPLIED ENERGY

Prediction of diesel engine performance using biofuels with artificial neural network

(2010) Hidayet Oğuz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry

(2010) F.L. Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

HCCI Engine Combustion Phasing Prediction Using a Symbolic-Statistics Approach

(2010) Ahmad Ghazimirsaied et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

Engine Emission Modeling Using a Mixed Physics and Regression Approach

(2010) Michael Benz et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

A Method to Determine Fuel Transport Dynamics Model Parameters in Port Fuel Injected Gasoline Engines During Cold Start and Warm-Up Conditions

(2010) M. Shahbakhti et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

Discriminative deep belief networks for visual data classification

(2010) Yan Liu et al.   PATTERN RECOGNITION

Evolutionary clustering based vector quantization and SPIHT coding for image compression

(2010) Shuyuan Yang et al.   PATTERN RECOGNITION LETTERS

Genetic algorithm and wavelet hybrid scheme for ECG signal denoising

(2010) El-Sayed A. El-Dahshan   TELECOMMUNICATION SYSTEMS

Prediction of torque and specific fuel consumption of a gasoline engine by using artificial neural networks

(2009) Necla Kara Togun et al.   APPLIED ENERGY

CNG-diesel engine performance and exhaust emission analysis with the aid of artificial neural network

(2009) Talal F. Yusaf et al.   APPLIED ENERGY

Towards a detailed soot model for internal combustion engines

(2009) Sebastian Mosbach et al.   COMBUSTION AND FLAME

Investigation of SI-HCCI Hybrid Combustion and Control Strategies for Combustion Mode Switching in a Four-Stroke Gasoline Engine

(2009) Yan Zhang et al.   COMBUSTION SCIENCE AND TECHNOLOGY

Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanol- gasoline blends

(2009) M. Kiani Deh Kiani et al.   ENERGY

A neural network model-based observer for idle speed control of ignition in SI engine

(2009) Jacek Czarnigowski   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Model-Based Control of HCCI Engines Using Exhaust Recompression

(2009) Nikhil Ravi et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

ANN-Based Adaptive Control of Robotic Manipulators With Friction and Joint Elasticity

(2009) H. Chaoui et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Reinforcement-Learning-Based Output-Feedback Control of Nonstrict Nonlinear Discrete-Time Systems With Application to Engine Emission Control

(2009) P. Shih et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Physics-Based Modeling and Control of Residual-Affected HCCI Engines

(2009) Gregory M. Shaver et al.   JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME

Real-Time Self-Learning Optimization of Diesel Engine Calibration

(2009) Andreas A. Malikopoulos et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

Ensemble of online sequential extreme learning machine

(2009) Yuan Lan et al.   NEUROCOMPUTING

Model predictive flight control using adaptive support vector regression

(2009) Jongho Shin et al.   NEUROCOMPUTING

Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network

(2008) G. Najafi et al.   APPLIED ENERGY

A reduced chemical kinetic model for IC engine combustion simulations with primary reference fuels

(2008) Youngchul Ra et al.   COMBUSTION AND FLAME

Neural network model-based automotive engine air/fuel ratio control and robustness evaluation

(2008) Yu-Jia Zhai et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine

(2008) Achmad Widodo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation

(2008) P. Shih et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning

(2008) Jian-Wu Xu et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Characterizing the cyclic variability of ignition timing in a homogeneous charge compression ignition engine fuelled with n-heptane/iso-octane blend fuels

(2008) M Shahbakhti et al.   International Journal of Engine Research

Development of a Torsional Behavior Powertrain Model for Multiple Misfire Detection

(2008) Fabrizio Ponti   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

Predicting the auto-ignition temperatures of organic compounds from molecular structure using support vector machine

(2008) Yong Pan et al.   JOURNAL OF HAZARDOUS MATERIALS

Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network

(2008) B. Ghobadian et al.   RENEWABLE ENERGY