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

Review: Energy efficiency evaluation of complex petrochemical industries

(2020) Yongming Han et al.   ENERGY

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

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

Energy analysis and resources optimization of complex chemical processes: Evidence based on novel DEA cross-model

(2020) Yongming Han et al.   ENERGY

Wind Farm NWP Data Preprocessing Method Based on t-SNE

(2019) Jiu Gu et al.   Energies

Application of Spectral Kurtosis and Improved Extreme Learning Machine for Bearing Fault Classification

(2019) Sandeep S. Udmale et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A novel data envelopment analysis cross-model integrating interpretative structural model and analytic hierarchy process for energy efficiency evaluation and optimization modeling: Application to ethylene industries

(2019) Yongming Han et al.   JOURNAL OF CLEANER PRODUCTION

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

(2019) Zhiqiang Geng et al.   ENERGY

A novel conformable fractional non-homogeneous grey model for forecasting carbon dioxide emissions of BRICS countries

(2019) Wenqing Wu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Energy technology roadmap for ethylene industry in China

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

Modeling of ash agglomerating fluidized bed gasifier using back propagation neural network based on particle swarm optimization

(2018) Guang Li et al.   APPLIED THERMAL ENGINEERING

A new post-processing technique for analyzing high-dimensional combustion data

(2018) Ehsan Fooladgar et al.   COMBUSTION AND FLAME

Recycled polyethylene terephthalate-based boards for thermal-acoustic insulation

(2018) Diego Valdevino Marques et al.   JOURNAL OF CLEANER PRODUCTION

Quasi-cluster centers clustering algorithm based on potential entropy and t-distributed stochastic neighbor embedding

(2018) Xian Fang et al.   SOFT COMPUTING

Artificial neural network approach for the steam gasification of palm oil waste using bottom ash and CaO

(2018) Muhammad Shahbaz et al.   RENEWABLE ENERGY

Wide spectrum feature selection (WiSe) for regression model building

(2018) Ricardo Rendall et al.   COMPUTERS & CHEMICAL ENGINEERING

Designing an Efficient Artificial Intelligent Approach for Estimation of Hydrodynamic Characteristics of Tapered Fluidized Bed from Its Design and Operating Parameters

(2017) Mohsen Karimi et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Estimation of wax deposition in the oil production units using RBF-ANN strategy

(2017) Reza Eghtedaei et al.   PETROLEUM SCIENCE AND TECHNOLOGY

The energy consumption and carbon emission of the integrated steel mill with oxygen blast furnace

(2017) Peng Jin et al.   RESOURCES CONSERVATION AND RECYCLING

Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method

(2017) Dequn Zhou et al.   Sustainability

Optimization of steel casting feeding system based on BP neural network and genetic algorithm

(2016) Xue-dan Gong et al.   China Foundry

Feature-based non-parametric estimation of Kullback–Leibler divergence for SAR image change detection

(2016) Shiyong Cui et al.   Remote Sensing Letters

Prediction of Pd/C Catalyst Deactivation Rate and Assessment of Optimal Operating Conditions of Industrial Hydropurification Process

(2015) Abbas Azarpour et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Temperature Modeling in a Coke Furnace with an Improved RNA-GA Based RBF Network

(2014) Ridong Zhang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH