Ahmed Ragab

Adjunct Professor

Polytechnique Montréal

Canada

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Articles (10)

Learn-to-supervise: Causal reinforcement learning for high-level control in industrial processes

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Year:

2023

Fusion of heterogeneous industrial data using polygon generation & deep learning

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Year:

2023

Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining

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Year:

2023

Polygon generation and video-to-video translation for time-series prediction

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Year:

2023

Delay Mismatch Insensitive Dead Time Generator for High-Voltage Switched-Mode Power Amplifiers

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Year:

2023

Decision fusion for reliable fault classification in energy-intensive process industries

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Year:

2022

Fault classification in the process industry using polygon generation and deep learning

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Year:

2022

Multi-Output Regression Using Polygon Generation and Conditional Generative Adversarial Networks

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Year:

2022

Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook

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Year:

2022

A Multiagent-Based Methodology for Known and Novel Faults Diagnosis in Industrial Processes

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Year:

2021

Collaborators (2)

Yvon Savaria

Professor

Polytechnique Montréal

CANADA

Ahmad Hassan

Assistant Professor

Polytechnique Montréal

CANADA

Ahmed Ragab

Research Interests

Explore related searches

Contact this professor

Articles (10)

Learn-to-supervise: Causal reinforcement learning for high-level control in industrial processes

Fusion of heterogeneous industrial data using polygon generation & deep learning

Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining

Polygon generation and video-to-video translation for time-series prediction

Delay Mismatch Insensitive Dead Time Generator for High-Voltage Switched-Mode Power Amplifiers

Decision fusion for reliable fault classification in energy-intensive process industries

Fault classification in the process industry using polygon generation and deep learning

Multi-Output Regression Using Polygon Generation and Conditional Generative Adversarial Networks

Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook

A Multiagent-Based Methodology for Known and Novel Faults Diagnosis in Industrial Processes

Collaborators (2)

Yvon Savaria

Ahmad Hassan

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