Online Dynamic Modelling for Digital Twin Enabled Sintering Systems: An Iterative Update Data-Driven Method

Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things

(2023) Meixia Fu et al.   IET Signal Processing

Unmanned aerial vehicle‐aided edge networks with ultra‐reliable low‐latency communications: A digital twin approach

(2022) Yijiu Li et al.   IET Signal Processing

Industry application of digital twin: from concept to implementation

(2022) Xin Fang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Modular Design and Real-Time Simulators Toward Power System Digital Twins Implementation

(2022) Felipe Arrano-Vargas et al.   IEEE Transactions on Industrial Informatics

A comprehensive approach to predict a rocket's impact with stochastic estimators and artificial neural networks

(2021) Jose Abreu et al.   IET Signal Processing

A forecast model of the sinter tumble strength in iron ore fines sintering process

(2021) Qiangjian Gao et al.   POWDER TECHNOLOGY

Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems

(2021) Xiaokang Zhou et al.   IEEE Transactions on Industrial Informatics

Dynamic Time Features Expanding and Extracting Method for Prediction Model of Sintering Process Quality Index

(2021) Li Yuxuan et al.   IEEE Transactions on Industrial Informatics

Frame-Dilated Convolutional Fusion Network and GRU-Based Self-Attention Dual-Channel Network for Soft-Sensor Modeling of Industrial Process Quality Indexes

(2021) Jinping Liu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Adaptive LSSVM based iterative prediction method for NOx concentration prediction in coal-fired power plant considering system delay

(2020) Yongjie Zhai et al.   APPLIED SOFT COMPUTING

Recent progress and development of ironmaking in China as of 2019: an overview

(2020) Yajie Wang et al.   IRONMAKING & STEELMAKING

Review of digital twin about concepts, technologies, and industrial applications

(2020) Mengnan Liu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model

(2020) Shohin Aheleroff et al.   ADVANCED ENGINEERING INFORMATICS

A Hybrid Ensemble Model Based on ELM and Improved AdaBoost.RT Algorithm for Predicting the Iron Ore Sintering Characters

(2019) Sen-Hui Wang et al.   Computational Intelligence and Neuroscience

A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process

(2019) Sheng Du et al.   IEEE Transactions on Industrial Informatics

Prediction of sinter yield and strength in iron ore sintering process by numerical simulation

(2018) Bin Zhang et al.   APPLIED THERMAL ENGINEERING

Decoupling Control Method With Fuzzy Theory for Top Pressure of Blast Furnace

(2018)   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Cloud Container Technologies: a State-of-the-Art Review

(2017) Claus Pahl et al.   IEEE Transactions on Cloud Computing

Sinter strength evaluation using process parameters under different conditions in iron ore sintering process

(2016) Zhilong Cheng et al.   APPLIED THERMAL ENGINEERING

Optimization of iron ore sintering process based on ELM model and multi-criteria evaluation

(2016) Zong-ping Li et al.   NEURAL COMPUTING & APPLICATIONS

Effect of Iron Ores and Sintering Conditions on Flame Front Properties

(2012) Chin Eng Loo et al.   ISIJ INTERNATIONAL

Detecting Novel Associations in Large Data Sets

(2011) D. N. Reshef et al.   SCIENCE