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Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

IEEE access, 2020, Vol.8, p.21980-22012

2020

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Data-driven recovery of hidden physics in reduced order modeling of fluid flows

Physics of fluids (1994), 2020-03, Vol.32 (3)

2020

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Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data

Physics of fluids (1994), 2020-01, Vol.32 (1)

2020

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On closures for reduced order models—A spectrum of first-principle to machine-learned avenues

Physics of fluids (1994), 2021-09, Vol.33 (9)

2021

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Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows

Physics of fluids (1994), 2020-07, Vol.32 (7)

2020

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Macrophage Responses to Environmental Stimuli During Homeostasis and Disease

Endocrine reviews, 2021-08, Vol.42 (4), p.407-435

2021

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A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence

Theoretical and computational fluid dynamics, 2020-08, Vol.34 (4), p.429-455

2020

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Physics guided machine learning using simplified theories

Physics of fluids (1994), 2021-01, Vol.33 (1)

2021

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A long short-term memory embedding for hybrid uplifted reduced order models

Physica. D, 2020-08, Vol.409 (C), p.132471, Article 132471

2020

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Memory embedded non-intrusive reduced order modeling of non-ergodic flows

Physics of fluids (1994), 2019-12, Vol.31 (12)

2019

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Multi-fidelity information fusion with concatenated neural networks

Scientific reports, 2022-04, Vol.12 (1), p.5900-5900, Article 5900

2022

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COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning

IEEE access, 2020, Vol.8, p.165344-165364

2020

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Decentralized digital twins of complex dynamical systems

Scientific reports, 2023-11, Vol.13 (1), p.20087-15, Article 20087

2023

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Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning

IEEE access, 2020, Vol.8, p.41466-41481

2020

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Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems

Scientific reports, 2022-10, Vol.12 (1), p.17947-17947, Article 17947

2022

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Prospects of federated machine learning in fluid dynamics

AIP advances, 2022-09, Vol.12 (9), p.095212-095212-6

2022

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Beyond the Foam Cell: The Role of LXRs in Preventing Atherogenesis

International journal of molecular sciences, 2018-08, Vol.19 (8), p.2307

2018

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Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions

Sensors (Basel, Switzerland), 2023-03, Vol.23 (5), p.2844

2023

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Multifidelity computing for coupling full and reduced order models

PloS one, 2021-02, Vol.16 (2), p.e0246092-e0246092

2021

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Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality

IEEE access, 2023, Vol.11, p.35035-35058

2023

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Correlation-based outlier detection for ships’ in-service datasets

Journal of big data, 2024-12, Vol.11 (1), p.85-21

2024

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Niche Regulation of Hematopoiesis: The Environment Is “Micro,” but the Influence Is Large

Arteriosclerosis, thrombosis, and vascular biology, 2022-06, Vol.42 (6), p.691-699

Rasheed, Adil

2022

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CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis

IEEE access, 2024, Vol.12, p.13213-13232

2024

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Self-Organising Map Based Framework for Investigating Accounts Suspected of Money Laundering

Frontiers in artificial intelligence, 2021-12, Vol.4, p.761925-761925

2021

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Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles

Frontiers in robotics and AI, 2021-01, Vol.7, p.566037-566037

2021

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Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Data-driven recovery of hidden physics in reduced order modeling of fluid flows

Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data

On closures for reduced order models—A spectrum of first-principle to machine-learned avenues

Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows

Macrophage Responses to Environmental Stimuli During Homeostasis and Disease

A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence

Physics guided machine learning using simplified theories

A long short-term memory embedding for hybrid uplifted reduced order models

Memory embedded non-intrusive reduced order modeling of non-ergodic flows

Multi-fidelity information fusion with concatenated neural networks

COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning

Decentralized digital twins of complex dynamical systems

Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning

Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems

Prospects of federated machine learning in fluid dynamics

Beyond the Foam Cell: The Role of LXRs in Preventing Atherogenesis

Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions

Multifidelity computing for coupling full and reduced order models

Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality

Correlation-based outlier detection for ships’ in-service datasets

Niche Regulation of Hematopoiesis: The Environment Is “Micro,” but the Influence Is Large

CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis

Self-Organising Map Based Framework for Investigating Accounts Suspected of Money Laundering

Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles

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