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Noise Reduction for Water Supply Pipeline Leakage Signals Based on the Black-Winged Kite Algorithm. [PDF]
Sensors (Basel)Jiang Z, Li J, Ning H, Zhang X, Yang Y.
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Impact of Superficial Keratectomy on Corneal Topography, Aberration, and Densitometry in Salzmann Nodular Degeneration. [PDF]
J Clin MedQi Z, Mukhija R, Quiney G, Nanavaty MA.
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Decision Making Under Uncertainty and Constraints, 2023
Reasonably recently, a new efficient method appeared for solving complex non-linear differential equations (and systems of differential equations). In this method -- known as Model Order Reduction (MOR) -- we select several solutions, and approximate a general solution by a linear combination of the selected solutions.
Robles, Salvador +2 more
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Reasonably recently, a new efficient method appeared for solving complex non-linear differential equations (and systems of differential equations). In this method -- known as Model Order Reduction (MOR) -- we select several solutions, and approximate a general solution by a linear combination of the selected solutions.
Robles, Salvador +2 more
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Twin-Model Based on Model Order Reduction for Rotating Motors
IEEE transactions on magnetics, 2022With the advent of the digital age, real-time monitoring, diagnosis, and control become essential demands in the life-cycle management of electrical equipment.
Ze Guo +4 more
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Symbolic model order reduction
Proceedings of the 2003 IEEE International Workshop on Behavioral Modeling and Simulation, 2004Symbolic model order reduction (SMOR) is the problem of reducing a large circuit that contains symbolic circuit parameters to smaller low order models at its ports. Several methods, including symbol isolation, single frequency point reduction, and multiple frequency point reduction, are described and compared.
B.P. Hu, G. Shi, C.-J.R. Shi
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, 2020
A correlation-based model order reduction algorithm is developed using support vector machine to model N O x emission and break mean effective pressure of a medium-duty diesel engine.
A. Norouzi, M. Aliramezani, C. Koch
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A correlation-based model order reduction algorithm is developed using support vector machine to model N O x emission and break mean effective pressure of a medium-duty diesel engine.
A. Norouzi, M. Aliramezani, C. Koch
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Parameterized Model Order Reduction of Delayed PEEC Circuits
IEEE transactions on electromagnetic compatibility (Print), 2020In this paper, we propose a novel parameterized model order reduction technique for circuits described by the delayed partial element equivalent circuit method. The moment vectors associated with frequency are excluded while forming the moments’ subspace.
L. Lombardi +5 more
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Multilevel model order reduction
IEEE Microwave and Wireless Components Letters, 2004We present a multilevel Model Order Reduction scheme for enhancing numerical analysis of electromagnetic fields by means of grid based techniques. The scheme allows one to create nested macromodels and combine macromodels with the Fast Frequency Sweep.
L. Kulas, M. Mrozowski
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Model order reduction by selective sensitivity
AIAA Journal, 1997Summary: Many industrial structures are represented by models with a large number of degrees of freedom, thus making their use complex and costly. Model order reduction alleviates this problem by elaborating lower-dimensional models that satisfy some properties of the refined model.
Cogan, Scott +3 more
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