A comparative investigation of advanced machine learning methods for predicting transient emission characteristic of diesel engine

A review and evaluation of nonroad diesel mobile machinery emission control in China

(2022) Pengju Bie et al.   Journal of Environmental Sciences-China

Review of artificial neural networks for gasoline, diesel and homogeneous charge compression ignition engine

(2022) Ibham Veza et al.   Alexandria Engineering Journal

An experimental investigation of particle and NOx emissions for a non-road diesel engine equipped with an integrated DOC + CDPF + SCR aftertreatment system during different operations

(2022) Jianxiong Liao et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Designing a steady-state experimental dataset for predicting transient NOx emissions of diesel engines via deep learning

(2022) Seunghyup Shin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Marine diesel engine ANN modelling with multiple output for complete engine performance map

(2022) Joseba Castresana et al.   FUEL

A Review of the State-of-the-Art Emission Control Strategies in Modern Diesel Engines

(2021) Vaibhav Ahire et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Prediction of emission characteristics of a diesel engine using experimental and artificial neural networks

(2021) Tran Van Hung et al.   Applied Nanoscience

A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling

(2021) Jacob F. Tuttle et al.   APPLIED ENERGY

Synergy effects analysis on CDPF regeneration performance enhancement and NOx concentration reduction of NH3–SCR over Cu–ZSM–5

(2021) Chao Zhong et al.   ENERGY

Prediction of instantaneous real-world emissions from diesel light-duty vehicles based on an integrated artificial neural network and vehicle dynamics model

(2021) Jigu Seo et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Machine learning assisted prediction of exhaust gas temperature of a heavy-duty natural gas spark ignition engine

(2021) Jinlong Liu et al.   APPLIED ENERGY

NOX emission analysis according to after-treatment devices (SCR, LNT + SCR, SDPF), and control strategies in Euro-6 light-duty diesel vehicles

(2021) Hyung Jun Kim et al.   FUEL

Experimental investigation and artificial neural networks (ANNs) based prediction of engine vibration of a diesel engine fueled with sunflower biodiesel – NH3 mixtures

(2021) Ömer Böyükdipi et al.   FUEL

Prediction of emission and performance characteristics of reactivity-controlled compression ignition engine with the intelligent software based on adaptive neural-fuzzy and neural-network

(2021) Mehmet Akif Koç et al.   Journal of Cleaner Production

Parallel attention-based LSTM for building a prediction model of vehicle emissions using PEMS and OBD

(2021) Hao Xie et al.   MEASUREMENT

Prediction of Transient NOx Emission from Diesel Vehicles Based on Deep-Learning Differentiation Model with Double Noise Reduction

(2021) Jiaqiang Li et al.   Atmosphere

Experimental investigation of urea injection strategy for close-coupled SCR aftertreatment system to meet ultra-low NO emission regulation

(2021) Liu Shiyu et al.   APPLIED THERMAL ENGINEERING

Multi-objective optimization of dual-fuel engine performance in PPCI mode based on preference decision

(2021) Cheng Ma et al.   FUEL

Experimental and numerical investigation of nitrogen oxides reduction in diesel engine selective catalytic reduction system

(2021) Damian Kurzydym et al.   FUEL

Investigation of the impact of the configuration of exhaust after-treatment system for diesel engines

(2020) Chung Ting Lao et al.   APPLIED ENERGY

On-road emission measurements of reactive nitrogen compounds from heavy-duty diesel trucks in China

(2020) Liqiang He et al.   ENVIRONMENTAL POLLUTION

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

Long-Term Evaluation and Calibration of Low-Cost Particulate Matter (PM) Sensor

(2020) Hoochang Lee et al.   SENSORS

Experimental Investigation and Prediction of performance and emission responses of a CI engine fueled with different metal-oxide based nanoparticles–diesel blends using different machine learning algorithms

(2020) Ümit Ağbulut et al.   ENERGY

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

Particulate emissions of a modern diesel passenger car under laboratory and real-world transient driving conditions

(2020) Hugo Wihersaari et al.   ENVIRONMENTAL POLLUTION

Opportunities and challenges in the development of advanced materials for emission control catalysts

(2020) Abhaya K. Datye et al.   NATURE MATERIALS

Emission factor development for light-duty vehicles based on real-world emissions using emission map-based simulation

(2020) Jigu Seo et al.   ENVIRONMENTAL POLLUTION

The effect of after-treatment techniques on the correlations between driving behaviours and NO emissions of passenger cars

(2020) Jianbing Gao et al.   JOURNAL OF CLEANER PRODUCTION

Deep face recognition: A survey

(2020) Mei Wang et al.   NEUROCOMPUTING

Predicting NOx Emissions in Diesel Engines via Sigmoid NARX Models Using A New Experiment Design for Combustion Identification

(2019) Gokhan Alcan et al.   MEASUREMENT

Experimental investigation of iso-butanol/diesel reactivity controlled compression ignition combustion in a non-road diesel engine

(2019) Duraisamy Ganesh et al.   APPLIED ENERGY

An electrochemical model of an amperometric NOx sensor

(2019) Masoud Aliramezani et al.   SENSORS AND ACTUATORS B-CHEMICAL

Emission reduction characteristics of a catalyzed continuously regenerating trap after-treatment system and its durability performance

(2019) Yunhua Zhang et al.   Journal of Environmental Sciences-China

DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction

(2019) Yeqi Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of the performance and exhaust emissions of a compression ignition engine using a wavelet neural network with a stochastic gradient algorithm

(2018) R. Rahimi molkdaragh 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

Emissions During and Real-world Frequency of Heavy-duty Diesel Particulate Filter Regeneration

(2018) Chris Ruehl et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

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

The effect of operating parameters on regeneration characteristics and particulate emission characteristics of diesel particulate filters

(2018) Jia Fang et al.   APPLIED THERMAL ENGINEERING

Development and Application of Artificial Neural Network

(2017) Yu-chen Wu et al.   WIRELESS PERSONAL COMMUNICATIONS

Multidisciplinary design optimization of the diesel particulate filter in the composite regeneration process

(2016) Bin Zhang et al.   APPLIED ENERGY

NO x sensor ammonia cross-sensitivity estimation with adaptive unscented Kalman filter for Diesel-engine selective catalytic reduction systems

(2016) Kai Jiang et al.   FUEL

A novel optimal support vector machine ensemble model for NO X emissions prediction of a diesel engine

(2016) Bo Liu et al.   MEASUREMENT

Advances in natural language processing

(2015) J. Hirschberg et al.   SCIENCE

Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]

(2014) Erik Cambria et al.   IEEE Computational Intelligence Magazine

High Performance Mixed-Potential Type NOx Sensor Based On Stabilized Zirconia and Oxide Electrode

(2014) Geyu Lu et al.   SOLID STATE IONICS