A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels
Biodiesel has been emerging as a potential and promising biofuel for the strategy of
reducing toxic emissions and improving engine performance. Computational methods …
reducing toxic emissions and improving engine performance. Computational methods …
Data to intelligence: The role of data-driven models in wastewater treatment
Increasing energy efficiency in wastewater treatment plants (WWTPs) is becoming more
important. An emerging approach to addressing this issue is to exploit development in data …
important. An emerging approach to addressing this issue is to exploit development in data …
Computational fluid dynamics (CFD), artificial neural network (ANN) and genetic algorithm (GA) as a hybrid method for the analysis and optimization of micro …
In this work the hybrid CFD-ANN-GA method is proposed as a tool for the analysis and
optimization of micro-photocatalytic reactors, taking NOx abatement as a case study. Initially …
optimization of micro-photocatalytic reactors, taking NOx abatement as a case study. Initially …
[HTML][HTML] Analysis of machine learning strategies for prediction of passing undergraduate admission test
This article primarily focuses on understanding the reasons behind the failure of
undergraduate admission seekers using different machine learning (ML) strategies. An …
undergraduate admission seekers using different machine learning (ML) strategies. An …
A multi-stage predicting methodology based on data decomposition and error correction for ultra-short-term wind energy prediction
Y Zhang, J Han, G Pan, Y Xu, F Wang - Journal of Cleaner Production, 2021 - Elsevier
As an emerging clean energy, wind energy has become an important part of energy
development all over the world. One of the major ways to use wind energy is wind power …
development all over the world. One of the major ways to use wind energy is wind power …
Development of model predictive control system using an artificial neural network: A case study with a distillation column
Y Shin, R Smith, S Hwang - Journal of Cleaner Production, 2020 - Elsevier
Abstracts Over the past few decades, advanced process control (APC) such as model
predictive control (MPC) has been introduced to process industry to enhance its operational …
predictive control (MPC) has been introduced to process industry to enhance its operational …
Prediction of diesel particulate filter regeneration conditions and diesel engine performance under regeneration mode using AMSO-BPNN and combined with …
Y Wang, J Li, G Wang, G Chen, S He - Applied Energy, 2025 - Elsevier
This research proposed a dependable model for predicting Diesel Particulate Filter (DPF)
regeneration conditions and emission performance in diesel engines. The proposed model …
regeneration conditions and emission performance in diesel engines. The proposed model …
[HTML][HTML] An intelligent dual-sensing e-skin system for pressure and temperature detection using laser-induced graphene and polydimethylsiloxane
Motivated by artificial intelligence, we present a novel electronic skin (e-skin) system
capable of dual-sensing pressure and temperature signals. Our approach utilizes laser …
capable of dual-sensing pressure and temperature signals. Our approach utilizes laser …
A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment
G Niu, X Yi, C Chen, X Li, D Han, B Yan… - Journal of Cleaner …, 2020 - Elsevier
Recycling wastewater of the pul** and paper-making industry are widely considered for
clean production, which heavily rely on the timely and accurate monitoring in paper-making …
clean production, which heavily rely on the timely and accurate monitoring in paper-making …
Optimization on cleaner intensification of ozone production using Artificial Neural Network and Response Surface Methodology: Parametric and comparative study
Non-thermal microplasma is a promising technology for efficient ozone generation for water
sterilization. However, there remains a niche to improve the energy efficiency of the …
sterilization. However, there remains a niche to improve the energy efficiency of the …