A novel hybrid analysis and modeling approach applied to aluminum electrolysis process

A mechanism knowledge-driven method for identifying the pseudo dissolution hysteresis coefficient in the industrial aluminium electrolysis process

(2020) Zhaohui Zeng et al.   CONTROL ENGINEERING PRACTICE

Development of a hybrid model for a partially known intracellular signaling pathway through correction term estimation and neural network modeling

(2020) Dongheon Lee et al.   PLoS Computational Biology

Dynamic Mode Decomposition for Compressive System Identification

(2019) Zhe Bai et al.   AIAA JOURNAL

Deep hybrid modeling of chemical process: Application to hydraulic fracturing

(2019) Mohammed Saad Faizan Bangi et al.   COMPUTERS & CHEMICAL ENGINEERING

Monitoring temperature in additive manufacturing with physics-based compressive sensing

(2018) Yanglong Lu et al.   JOURNAL OF MANUFACTURING SYSTEMS

A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications

(2018) Meenu Rani et al.   IEEE Access

Alumina Concentration Detection Based on the Kernel Extreme Learning Machine

(2017) Sen Zhang et al.   SENSORS

Data Mining and Analytics in the Process Industry: The Role of Machine Learning

(2017) Zhiqiang Ge et al.   IEEE Access

System Identification of a Non-Uniformly Sampled Multi-Rate System in Aluminium Electrolysis Cells

(2014) HÃ¥kon Viumdal et al.   MODELING IDENTIFICATION AND CONTROL

Hybrid semi-parametric modeling in process systems engineering: Past, present and future

(2013) Moritz von Stosch et al.   COMPUTERS & CHEMICAL ENGINEERING

Identification of Sparse Linear Operators

(2013) Reinhard Heckel et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Smoothing proximal gradient method for general structured sparse regression

(2012) Xi Chen et al.   Annals of Applied Statistics

Development and application of soft sensor model for heterogeneous information of aluminum reduction cells

(2011) He-Song Li et al.   CONTROL ENGINEERING PRACTICE

Analysis of heterogeneous cell populations: A density-based modeling and identification framework

(2011) Jan Hasenauer et al.   JOURNAL OF PROCESS CONTROL

Adaptive algorithms for sparse system identification

(2011) Nicholas Kalouptsidis et al.   SIGNAL PROCESSING

Model-Based Compressive Sensing

(2010) Richard G. Baraniuk et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted $\ell_{1}$ Balls

(2010) Yannis Kopsinis et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Iterative hard thresholding for compressed sensing

(2009) Thomas Blumensath et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

(2008) D. Needell et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS