238 citations · 242 across the 8 of their papers we have counts for
10 papers
A survey of the noise-correcting tools for Dynamic Mode Decomposition
Moajjem H. Chowdhury, Nazmul Islam Shuzan, Mohammad N. Murshed +3
Dynamic Mode Decomposition (DMD) is a data-driven modeling tool that generates a model from spatio-temporal data. The data needs to be as clean as possible for DMD to come up with…
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model
Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury +4
Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-threatening. Respiration rate (RR) is a vital indicator of th…
Frequency Limited Optimal Model Reduction of Large-Scale Sparse Dynamical Systems
Xin Du, M. Monir Uddin, A. Mostakim Fony +2
We mainly consider the frequency limited optimal model order reduction of large-scale sparse generalized systems. For this purpose we need to solve two Sylvester eq…
Iterative Rational Krylov Algorithms for model reduction of a class of constrained structural dynamic system with Engineering applications
Xin Du, M. Monir Uddiny, A. Mostakim Fonyz +2
This paper discusses model order reduction of large sparse second-order index-3 differential algebraic equations (DAEs) by applying Iterative Rational Krylov Algorithm (IRKA). In g…
Data Assimilation: Two Different Perspectives Based on the Initial-Condition Dependence
Mohammad N. Murshed, Zarin Subah, M. Monir Uddin
Data Assimilation (DA) is a computational tool that uses value from the model and the real measurement to arrive to an optimally acceptable value. Rather, this technique relies on…
Towards an Adaptive Dynamic Mode Decomposition
Mohammad N. Murshed, M. Monir Uddin
Dynamic Mode Decomposition (DMD) is a data based modeling tool that identifies a matrix to map a quantity at some time instant to the same quantity in future. We design a new versi…