A novel performance assessment method of the carbon efficiency for iron ore sintering process

Artificial intelligence based ensemble modeling of wastewater treatment plant using jittered data

(2021) Vahid Nourani et al.   JOURNAL OF CLEANER PRODUCTION

A novel rate of penetration prediction model with identified condition for the complex geological drilling process

(2021) Yang Zhou et al.   JOURNAL OF PROCESS CONTROL

A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches

(2021) Shuai Wang et al.   ENERGY

Bedload transport rate prediction: Application of novel hybrid data mining techniques

(2020) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

A radial basis function artificial neural network (RBF ANN) based method for uncertain distributed force reconstruction considering signal noises and material dispersion

(2020) Lei Wang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A quality diagnosis method of GMAW based on improved empirical mode decomposition and extreme learning machine

(2020) Yong Huang et al.   Journal of Manufacturing Processes

Operating Mode Recognition Based on Fluctuation Interval Prediction for Iron Ore Sintering Process

(2020) Sheng Du et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A New CO/CO$_2$ Prediction Model Based on Labeled and Unlabeled Process Data for Sintering Process

(2020) Kailong Zhou et al.   IEEE Transactions on Industrial Informatics

A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections

(2020) Hui Liu et al.   RENEWABLE ENERGY

Two-level intelligent modeling method for the rate of penetration in complex geological drilling process

(2019) Chao Gan et al.   APPLIED SOFT COMPUTING

Multi-time-scale TFe prediction for iron ore sintering process with complex time delay

(2019) Xiaoxia Chen et al.   CONTROL ENGINEERING PRACTICE

A new hybrid modeling and optimization algorithm for improving carbon efficiency based on different time scales in sintering process

(2019) Kailong Zhou et al.   CONTROL ENGINEERING PRACTICE

Effective energy consumption forecasting using enhanced bagged echo state network

(2019) Huanling Hu et al.   ENERGY

An Intelligent Control Strategy for Iron Ore Sintering Ignition Process Based on the Prediction of Ignition Temperature

(2019) Sheng Du et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Parametric study and modeling of cross-flow heat exchanger fouling in phosphoric acid concentration plant using artificial neural network

(2019) Saoussen Aguel et al.   JOURNAL OF PROCESS CONTROL

A Multilevel Prediction Model of Carbon Efficiency Based on the Differential Evolution Algorithm for the Iron Ore Sintering Process

(2018) Jie Hu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An intelligent detection method for bulking sludge of wastewater treatment process

(2018) Hong-Gui Han et al.   JOURNAL OF PROCESS CONTROL

Prediction model of end-point phosphorus content in BOF steelmaking process based on PCA and BP neural network

(2018) Fei He et al.   JOURNAL OF PROCESS CONTROL

A novel system based on neural networks with linear combination framework for wind speed forecasting

(2018) Jianzhou Wang et al.   ENERGY CONVERSION AND MANAGEMENT

A hybrid just-in-time soft sensor for carbon efficiency of iron ore sintering process based on feature extraction of cross-sectional frames at discharge end

(2017) Xiaoxia Chen et al.   JOURNAL OF PROCESS CONTROL

Mathematical modeling of and parametric studies on flue gas recirculation iron ore sintering

(2016) Gan Wang et al.   APPLIED THERMAL ENGINEERING

Energy efficiency optimisation for distillation column using artificial neural network models

(2016) Funmilayo N. Osuolale et al.   ENERGY

Modeling NOx emission of coke combustion in iron ore sintering process and its experimental validation

(2016) Hao Zhou et al.   FUEL

Integrated assessment on the characteristics of straw-based fuels and their effects on iron ore sintering performance

(2016) Xiaohui Fan et al.   FUEL PROCESSING TECHNOLOGY

Operating optimality assessment based on optimality related variations and nonoptimal cause identification for industrial processes

(2016) Yan Liu et al.   JOURNAL OF PROCESS CONTROL

Hybrid multistep modeling for calculation of carbon efficiency of iron ore sintering process based on yield prediction

(2016) Xiaoxia Chen et al.   NEURAL COMPUTING & APPLICATIONS

Modelling fuel combustion in iron ore sintering

(2015) Jia P. Zhao et al.   COMBUSTION AND FLAME

Performance evaluation of weights selection schemes for linear combination of multiple forecasts

(2012) Ratnadip Adhikari et al.   ARTIFICIAL INTELLIGENCE REVIEW