Hamed Khorasgani

Orcid: 0000-0002-0892-6276

According to our database1, Hamed Khorasgani authored at least 22 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Uncertainty Estimation for a Dual-Embedding based Entity Extraction Service.
Proceedings of the IEEE International Conference on Big Data, 2023

2021
Data-driven Residual Generation for Early Fault Detection with Limited Data.
CoRR, 2021

An Offline Deep Reinforcement Learning for Maintenance Decision-Making.
CoRR, 2021

Deep Reinforcement Learning with Adjustments.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching.
CoRR, 2020

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning.
CoRR, 2020

Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control.
CoRR, 2020

Spatio-Temporal Functional Neural Networks.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Non-linear Function-on-Function Model for Regression with Time Series Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

2018
Structural Fault Detection and Isolation in Hybrid Systems.
IEEE Trans Autom. Sci. Eng., 2018

Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data.
Autom., 2018

A methodology for monitoring smart buildings with incomplete models.
Appl. Soft Comput., 2018

2017
Datenanalyse in der intelligenten Fabrik.
Proceedings of the Handbuch Industrie 4.0 Bd.2, Automatisierung., 2017

A combined model-based and data-driven approach for monitoring smart buildings.
Proceedings of the 28th International Workshop on Principles of Diagnosis (DX'17), 2017

2016
Methodologies for system-level remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2016

2015
Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.
Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection.
Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

2014
A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2014

Robust residual selection for fault detection.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014


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