Advanced Digital, Modeling and Control Applies into Various Processes
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2024Innehållstyp: - text
- computer
- online resource
- 9783725814251
- 9783725814268
- Technology, Engineering, Agriculture, Industrial processes
- Technology: general issues
- Engineering: general
- Mechanical engineering and materials
- Production and industrial engineering
- ANSYS fluent
- CFD
- Cassie to Wenzel transition
- DEM
- DEM parameters
- Internet of things
- adaptive PID
- artificial intelligence
- autonomous vehicle
- axisymmetric parts
- big data
- boiling point
- calibration
- carbon footprint
- composition model
- computer vision
- control of geometric parameters
- control systems
- correlation
- correlation coefficient
- critical velocity
- cross-scale
- digital signal processing
- discrete element method
- drilling problems
- droplet impact
- error compensation
- experiment
- flexible ac transmission systems
- fractional composition
- friction
- friction coefficients
- gas chromatography
- gas cleaning
- gradient boosting
- image encryption
- information security
- machine learning
- mathematical model
- mathematical modeling
- method of pseudo-components
- method with spatial resolution
- multiple-parameter fractional Fourier transform
- nanoparticles
- naphtha
- optical control
- ore
- ore-thermal furnace (OTF)
- path tracking
- photovoltaic panel
- projection method
- random variable distribution
- reinforcement learning
- risk factor evaluation
- rolled steel
- rollin
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This Special Issue reviews advanced digital technologies in modelling and control of technological processes. The methods of numerical modelling, artificial intelligence, machine learning, automatic control, and optimization theory are considered in the published manuscripts of this Special Issue.
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