Novel long short-term memory neural network considering virtual data generation for production prediction and energy structure optimization of ethylene production processes

Resource optimization model using novel extreme learning machine with t-distributed stochastic neighbor embedding: Application to complex industrial processes

(2021) Yongming Han et al.   ENERGY

Modeling the prediction of hydrogen production by co‐gasification of plastic and rubber wastes using machine learning algorithms

(2021) Bamidele Victor Ayodele et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Energy consumption analysis and saving of buildings based on static and dynamic input-output models

(2021) Yongming Han et al.   ENERGY

DTaxa: An actor–critic for automatic taxonomy induction

(2021) Yongming Han et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Generating ultrasonic images indistinguishable from real images using Generative Adversarial Networks

(2021) Luka Posilović et al.   ULTRASONICS

Multiple Granularities Generative Adversarial Network for Recognition of Wafer Map Defects

(2021) Jianbo Yu et al.   IEEE Transactions on Industrial Informatics

Novel Transformer Based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes

(2021) Zhiqiang Geng et al.   IEEE Transactions on Industrial Informatics

Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis

(2021) Yan-Lin He et al.   IEEE TRANSACTIONS ON RELIABILITY

A Machine Learning Analysis of the Relationship among Iron and Steel Industries, Air Pollution, and Economic Growth in China

(2020) Marco Mele et al.   JOURNAL OF CLEANER PRODUCTION

Comprehensive system based on a DNN and LSTM for predicting sinter composition

(2020) Song Liu et al.   APPLIED SOFT COMPUTING

Energy efficient building envelope using novel RBF neural network integrated affinity propagation

(2020) Yongming Han et al.   ENERGY

Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search

(2020) M.A. Mujtaba et al.   RENEWABLE ENERGY

An integrated approach based on virtual data augmentation and deep neural networks modeling for VFA production prediction in anaerobic fermentation process

(2020) Run-Ze Xu et al.   WATER RESEARCH

Performance prediction and optimization of an organic Rankine cycle (ORC) for waste heat recovery using back propagation neural network

(2020) Yong-qiang Feng et al.   ENERGY CONVERSION AND MANAGEMENT

Input-output networks considering graphlet-based analysis for production optimization: Application in ethylene plants

(2020) Zun Wang et al.   JOURNAL OF CLEANER PRODUCTION

A convolutional-LSTM model for nitrogen oxide emission forecasting in FCC unit

(2020) Beng Wu et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

A combined data-driven and discrete modelling approach to predict particle flow in rotating drums

(2020) Yaoyu Li et al.   CHEMICAL ENGINEERING SCIENCE

Prediction of the lower critical solution temperature of poly(N-isopropylacrylamide-co-methoxy triethyleneglycol acrylate) in aqueous salt solutions using support vector regression

(2020) Hideaki Tokuyama et al.   CHEMICAL ENGINEERING SCIENCE

Predicting pipeline leakage in petrochemical system through GAN and LSTM

(2019) Peng Xu et al.   KNOWLEDGE-BASED SYSTEMS

Production capacity analysis and energy saving of complex chemical processes using LSTM based on attention mechanism

(2019) Yongming Han et al.   APPLIED THERMAL ENGINEERING

Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors

(2019) Yanting Zhou et al.   APPLIED ENERGY

Energy optimization and prediction modeling of petrochemical industries: An improved convolutional neural network based on cross-feature

(2019) Zhiqiang Geng et al.   ENERGY

On Kernel Method–Based Connectionist Models and Supervised Deep Learning Without Backpropagation

(2019) Shiyu Duan et al.   NEURAL COMPUTATION

Biodiesel synthesis from Ceiba pentandra oil by microwave irradiation-assisted transesterification: ELM modeling and optimization

(2019) A.S. Silitonga et al.   RENEWABLE ENERGY

Energy technology roadmap for ethylene industry in China

(2018) Jing-Ming Chen et al.   APPLIED ENERGY

Life cycle cost and CO2 emission simulation models of apartment building projects using system dynamics

(2018) Dong-Bum Lim et al.   INDOOR AND BUILT ENVIRONMENT

Reverse engineering of working fluid selection for industrial heat pump based on Monte Carlo sampling and uncertainty analysis

(2018) Jerome Frutiger et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Research on hot-rolling steel products quality control based on BP neural network inverse model

(2018) Shiyi Xing et al.   NEURAL COMPUTING & APPLICATIONS

A Monte Carlo-based integrated model to optimize the cost and pollution reduction in wastewater treatment processes in a typical comprehensive industrial park in China

(2018) Sha Long et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Soft Sensor Development for Distillation Columns Using Fuzzy C-Means and the Recursive Finite Newton Algorithm with Support Vector Regression (RFN-SVR)

(2015) Ahmadreza Gholami et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH