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ORCIDHamed Khorasgani
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Journal Articles
- 2018
[j5]Hamed Khorasgani, Gautam Biswas:
A methodology for monitoring smart buildings with incomplete models. Appl. Soft Comput. 71: 396-406 (2018)- [j4]Daniel L. C. Mack, Gautam Biswas, Hamed Khorasgani, Dinkar Mylaraswamy, Raj Bharadwaj:
Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data. Autom. 66(4): 291-307 (2018) - [j3]Hamed Khorasgani
, Gautam Biswas:
Structural Fault Detection and Isolation in Hybrid Systems. IEEE Trans Autom. Sci. Eng. 15(4): 1585-1599 (2018) - 2016
- [j2]Hamed Khorasgani, Gautam Biswas, Shankar Sankararaman:
Methodologies for system-level remaining useful life prediction. Reliab. Eng. Syst. Saf. 154: 8-18 (2016) - 2014
- [j1]Aníbal Bregón, Gautam Biswas, Belarmino Pulido, Carlos Alonso González, Hamed Khorasgani:
A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems. IEEE Trans. Syst. Man Cybern. Syst. 44(7): 863-876 (2014)
Conference and Workshop Papers
- 2023
- [c11]Hamed Khorasgani, Namrata Ghadi, Saumil Shah, Henry Zhang:
Uncertainty Estimation for a Dual-Embedding based Entity Extraction Service. IEEE Big Data 2023: 1940-1944 - 2021
- [c10]Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta:
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. IEEE BigData 2021: 3883-3889 - [c9]Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita:
Deep Reinforcement Learning with Adjustments. INDIN 2021: 1-8 - 2020
- [c8]Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani:
A Non-linear Function-on-Function Model for Regression with Time Series Data. IEEE BigData 2020: 232-239 - [c7]Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta, Haiyan Wang:
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. IEEE BigData 2020: 1436-1441 - [c6]Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta:
Spatio-Temporal Functional Neural Networks. DSAA 2020: 81-89 - 2019
- [c5]Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta:
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. ICPHM 2019: 1-7 - 2017
- [c4]Hamed Khorasgani, Gautam Biswas:
A combined model-based and data-driven approach for monitoring smart buildings. DX 2017: 21-36 - 2015
- [c3]Hamed Khorasgani, Gautam Biswas, Daniel E. Jung:
Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection. DX 2015: 75-82 - [c2]Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sören Volgmann, Andreas Bunte:
Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. DX 2015: 185-192 - 2014
- [c1]Hamed Khorasgani, Daniel E. Jung, Gautam Biswas, Erik Frisk, Mattias Krysander:
Robust residual selection for fault detection. CDC 2014: 5764-5769
Parts in Books or Collections
- 2017
- [p1]Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sören Volgmann, Andreas Bunte:
Datenanalyse in der intelligenten Fabrik. Handbuch Industrie 4.0 (2) 2017: 471-490
Informal and Other Publications
- 2022
- [i9]Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta:
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. CoRR abs/2201.07092 (2022) - 2021
- [i8]Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Susumu Serita:
Deep Reinforcement Learning with Adjustments. CoRR abs/2109.13463 (2021) - [i7]Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed K. Farahat:
An Offline Deep Reinforcement Learning for Maintenance Decision-Making. CoRR abs/2109.15050 (2021) - [i6]Hamed Khorasgani, Ahmed K. Farahat, Chetan Gupta:
Data-driven Residual Generation for Early Fault Detection with Limited Data. CoRR abs/2110.15385 (2021) - 2020
- [i5]Ibrahim Ahmed, Hamed Khorasgani, Gautam Biswas:
Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control. CoRR abs/2008.04403 (2020) - [i4]Chi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta:
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning. CoRR abs/2008.10713 (2020) - [i3]Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta:
Spatio-Temporal Functional Neural Networks. CoRR abs/2009.05665 (2020) - [i2]Hamed Khorasgani, Haiyan Wang, Chetan Gupta:
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching. CoRR abs/2011.05570 (2020) - [i1]Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani:
A Non-linear Function-on-Function Model for Regression with Time Series Data. CoRR abs/2011.12378 (2020)
Coauthor Index
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