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Journal Articles

Automated Flow Pattern Recognition for Liquid–Liquid Flow in Horizontal Pipes Using Machine-Learning Algorithms and Weighted Majority Voting

Md Ferdous Wahid, Reza Tafreshi, Zurwa Khan, Albertus Retnanto
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. January 2023, 3(1): 011003.
Paper No: ALDSC-22-1030
https://doi.org/10.1115/1.4056903
Published Online: February 28, 2023
.... Email: md.wahid@qatar.tamu.edu Email: reza.tafreshi@qatar.tamu.edu Email: zurwa.khan@qatar.tamu.edu Email: albertus.retnanto@qatar.tamu.edu 11 09 2022 31 01 2023 07 02 2023 28 02 2023 oil–water flow horizontal pipe flow pattern classification machine...
View Articletitled, Automated Flow Pattern Recognition for Liquid–Liquid Flow in Horizontal Pipes Using Machine-Learning Algorithms and Weighted Majority Voting
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Topics: Algorithms, Flow (Dynamics), Machine learning, Pipes, Water, Fluids
Journal Articles

Data-Driven Detection and Classification of Regimes in Chaotic Systems Via Hidden Markov Modeling

Chandrachur Bhattacharya, Asok Ray
Journal: ASME Letters in Dynamic Systems and Control
Publisher: ASME
Article Type: Research Papers
Letters Dyn. Sys. Control. April 2021, 1(2): 021009.
Paper No: ALDSC-20-1019
https://doi.org/10.1115/1.4047817
Published Online: August 5, 2020
... from a time series of dynamical systems, where classified regimes could be chaotic or non-chaotic. The proposed HMM-based method of regime classification has been tested using numerical data obtained from several well-known chaotic dynamical systems (e.g., Hénon, forced Duffing, Rössler, and Lorenz...
View Articletitled, Data-Driven Detection and Classification of Regimes in Chaotic Systems Via Hidden Markov Modeling
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Topics: Attractors, Chaos, Dynamic systems, Modeling, Signals, Time series, Testing