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Machine learning for modeling, diagnostics, and control of non-equilibrium plasmas

Journal of physics. D, Applied physics, 2019-05, Vol.52 (30), p.30

2019

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Deep Learning for Classification of the Chemical Composition of Particle Defects on Semiconductor Wafers

IEEE transactions on semiconductor manufacturing, 2020-02, Vol.33 (1), p.72-85

2020

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Stochastic model predictive control with active uncertainty learning: A Survey on dual control

Annual reviews in control, 2018, Vol.45, p.107-117

Mesbah, Ali

2018

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Kinetic Study of Acetone-Butanol-Ethanol Fermentation in Continuous Culture

PloS one, 2016-08, Vol.11 (8), p.e0158243-e0158243

2016

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Data-Driven Adaptive Optimal Control Under Model Uncertainty: An Application to Cold Atmospheric Plasmas

IEEE transactions on control systems technology, 2023-01, Vol.31 (1), p.55-69

2023

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A Study on the Role of Electric Field in Low-Temperature Plasma Catalytic Ammonia Synthesis via Integrated Density Functional Theory and Microkinetic Modeling

JACS Au, 2024-02, Vol.4 (2), p.525-544

2024

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Effective dose delivery in atmospheric pressure plasma jets for plasma medicine: a model predictive control approach

Plasma sources science & technology, 2017-07, Vol.26 (8), p.85005

2017

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Predictive control of 2D spatial thermal dose delivery in atmospheric pressure plasma jets

Plasma sources science & technology, 2019-08, Vol.28 (8), p.85001

2019

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Foundations of machine learning for low-temperature plasmas: methods and case studies

Plasma sources science & technology, 2023-02, Vol.32 (2), p.24003

2023

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Sim-to-real transfer reinforcement learning for control of thermal effects of an atmospheric pressure plasma jet

Plasma sources science & technology, 2019-09, Vol.28 (9), p.95019

2019

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Spatial thermal dose delivery in atmospheric pressure plasma jets

Plasma sources science & technology, 2019-02, Vol.28 (2), p.25006

2019

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Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions

PLoS computational biology, 2019-08, Vol.15 (8), p.e1007308-e1007308

2019

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Low-Temperature Plasma for Biology, Hygiene, and Medicine: Perspective and Roadmap

IEEE transactions on radiation and plasma medical sciences, 2022-02, Vol.6 (2), p.127-157

2022

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Perspectives on Machine Learning-Assisted Plasma Medicine: Toward Automated Plasma Treatment

IEEE transactions on radiation and plasma medical sciences, 2022-01, Vol.6 (1), p.16-32

2022

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Machine Learning for Real-Time Diagnostics of Cold Atmospheric Plasma Sources

IEEE transactions on radiation and plasma medical sciences, 2019-09, Vol.3 (5), p.597-605

2019

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Efficient Global Solutions to Single-Input Optimal Control Problems via Approximation by Sum-of-Squares Polynomials

IEEE transactions on automatic control, 2022-09, Vol.67 (9), p.4674-4686

2022

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IoT Bugs and Development Challenges

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.460-472

2021

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Fragment-Based Test Generation for Web Apps

IEEE transactions on software engineering, 2023-03, Vol.49 (3), p.1086-1101

2023

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Approximate Closed-Loop Robust Model Predictive Control With Guaranteed Stability and Constraint Satisfaction

IEEE control systems letters, 2020-07, Vol.4 (3), p.719-724

2020

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Input design for active fault diagnosis

Annual reviews in control, 2019, Vol.47, p.35-50

2019

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Automated analysis of CSS rules to support style maintenance

2012 34th International Conference on Software Engineering (ICSE), 2012, p.408-418

2012

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Run-indexed time-varying Bayesian optimization with positional encoding for auto-tuning of controllers: Application to a plasma-assisted deposition process with run-to-run drifts

Computers & chemical engineering, 2024-06, Vol.185, p.108653, Article 108653

2024

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Stochastic physics-informed neural ordinary differential equations

Journal of computational physics, 2022-11, Vol.468, p.111466, Article 111466

2022

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Stability analysis and stabilization of discrete-time non-homogeneous semi-Markov jump linear systems: A polytopic approach

Automatica (Oxford), 2020-10, Vol.120, p.109080, Article 109080

2020

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Data-Driven Scenario Optimization for Automated Controller Tuning With Probabilistic Performance Guarantees

IEEE control systems letters, 2021-10, Vol.5 (4), p.1477-1482

2021

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Machine learning for modeling, diagnostics, and control of non-equilibrium plasmas

Deep Learning for Classification of the Chemical Composition of Particle Defects on Semiconductor Wafers

Stochastic model predictive control with active uncertainty learning: A Survey on dual control

Kinetic Study of Acetone-Butanol-Ethanol Fermentation in Continuous Culture

Data-Driven Adaptive Optimal Control Under Model Uncertainty: An Application to Cold Atmospheric Plasmas

A Study on the Role of Electric Field in Low-Temperature Plasma Catalytic Ammonia Synthesis via Integrated Density Functional Theory and Microkinetic Modeling

Effective dose delivery in atmospheric pressure plasma jets for plasma medicine: a model predictive control approach

Predictive control of 2D spatial thermal dose delivery in atmospheric pressure plasma jets

Foundations of machine learning for low-temperature plasmas: methods and case studies

Sim-to-real transfer reinforcement learning for control of thermal effects of an atmospheric pressure plasma jet

Spatial thermal dose delivery in atmospheric pressure plasma jets

Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions

Low-Temperature Plasma for Biology, Hygiene, and Medicine: Perspective and Roadmap

Perspectives on Machine Learning-Assisted Plasma Medicine: Toward Automated Plasma Treatment

Machine Learning for Real-Time Diagnostics of Cold Atmospheric Plasma Sources

Efficient Global Solutions to Single-Input Optimal Control Problems via Approximation by Sum-of-Squares Polynomials

IoT Bugs and Development Challenges

Fragment-Based Test Generation for Web Apps

Approximate Closed-Loop Robust Model Predictive Control With Guaranteed Stability and Constraint Satisfaction

Input design for active fault diagnosis

Automated analysis of CSS rules to support style maintenance

Run-indexed time-varying Bayesian optimization with positional encoding for auto-tuning of controllers: Application to a plasma-assisted deposition process with run-to-run drifts

Stochastic physics-informed neural ordinary differential equations

Stability analysis and stabilization of discrete-time non-homogeneous semi-Markov jump linear systems: A polytopic approach

Data-Driven Scenario Optimization for Automated Controller Tuning With Probabilistic Performance Guarantees

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