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ORCIDDaniel Jung 0002
Person information
- affiliation: Linköping University, Sweden
- affiliation (2017 - 2018): Ohio State University, Columbus, OH, USA
- affiliation (PhD 2015): Linköping University, Sweden
Other persons with the same name
- Daniel Jung 0001
![[0000-0001-8270-8130]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8270-8130")
— University of Paderborn, Germany - Daniel Jung 0003 — University of Kiel, Germany
- Daniel Jung 0004 — University of Bergen, Norway
- Daniel Jung 0005 — University of Bremen, School of Engineering and Science, Germany
- Daniel Jung 0006 — University of Missouri, School of Medicine, Kansas City, MO USA
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2020 – today
- 2024
[j9]Vishnu Renganathan, Qadeer Ahmed, Daniel Jung:
Enhancing the Security of Automotive Systems Using Attackability Index. IEEE Trans. Intell. Veh. 9(1): 315-327 (2024)- [c10]Daniel Jung, David Axelsson:
A Study on Redundancy and Intrinsic Dimension for Data-Driven Fault Diagnosis. DX 2024: 4:1-4:17 - [c9]Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk:
Stability-Informed Initialization of Neural Ordinary Differential Equations. ICML 2024 - [i6]Daniel Jung, Erik Frisk, Mattias Krysander:
The LiU-ICE Benchmark - An Industrial Fault Diagnosis Case Study. CoRR abs/2408.13269 (2024) - 2023
- [i5]Arman Mohammadi, Theodor Westny, Daniel Jung, Mattias Krysander:
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems. CoRR abs/2305.04670 (2023) - [i4]Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk:
Stability-Informed Initialization of Neural Ordinary Differential Equations. CoRR abs/2311.15890 (2023) - 2022
- [c8]Daniel Jung:
Automated Design of Grey-Box Recurrent Neural Networks For Fault Diagnosis using Structural Models and Causal Information. L4DC 2022: 8-20 - 2021
- [j8]Daniel Jung:
Distributed Feature Selection for Multi-Class Classification Using ADMM. IEEE Control. Syst. Lett. 5(3): 821-826 (2021) - [j7]Sergii Voronov, Daniel Jung, Erik Frisk:
A forest-based algorithm for selecting informative variables using Variable Depth Distribution. Eng. Appl. Artif. Intell. 97: 104073 (2021) - [j6]Shreshta Rajakumar Deshpande, Daniel Jung, Leo Bauer, Marcello Canova:
Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle. IEEE Trans. Veh. Technol. 70(11): 11204-11215 (2021) - 2020
- [j5]Daniel Jung, Yi Dong, Erik Frisk, Mattias Krysander, Gautam Biswas:
Sensor selection for fault diagnosis in uncertain systems. Int. J. Control 93(3): 629-639 (2020) - [j4]Daniel Jung:
Data-Driven Open-Set Fault Classification of Residual Data Using Bayesian Filtering. IEEE Trans. Control. Syst. Technol. 28(5): 2045-2052 (2020) - [c7]Daniel Jung:
Structural Methods for Distributed Fault Diagnosis of Large-Scale Systems. CDC 2020: 2690-2695 - [c6]Frans Skarman, Oscar Gustafsson, Daniel Jung, Mattias Krysander:
Acceleration of Simulation Models Through Automatic Conversion to FPGA Hardware. FPL 2020: 359-360 - [i3]Andreas Lundgren, Daniel Jung:
Data-Driven Open Set Fault Classification and Fault Size Estimation Using Quantitative Fault Diagnosis Analysis. CoRR abs/2009.04756 (2020) - [i2]Shreshta Rajakumar Deshpande, Daniel Jung, Marcello Canova:
Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle. CoRR abs/2010.03620 (2020)
2010 – 2019
- 2019
- [j3]Jan Åslund, Erik Frisk, Daniel Jung:
Asymptotic behavior of a fault diagnosis performance measure for linear systems. Autom. 106: 143-149 (2019) - [j2]Daniel Jung, Christofer Sundström:
A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation. IEEE Trans. Control. Syst. Technol. 27(2): 616-630 (2019) - [i1]Daniel Jung:
Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals. CoRR abs/1910.05626 (2019) - 2018
- [j1]Daniel Jung, Erik Frisk:
Residual selection for fault detection and isolation using convex optimization. Autom. 97: 143-149 (2018) - [c5]Daniel Jung, Qadeer Ahmed, Giorgio Rizzoni:
Design Space Exploration for Powertrain Electrification using Gaussian Processes. ACC 2018: 846-851 - [c4]Eeshan Deosthale, Daniel Jung, Qadeer Ahmed:
Sensor Selection for Fault Detection and Isolation in Structurally Reconfigurable Systems. ACC 2018: 5807-5812 - 2016
- [c3]Christofer Sundström, Daniel Jung, Anders Blom:
Analysis of optimal energy management in smart homes using MPC. ECC 2016: 2066-2071 - 2015
- [b1]Daniel Jung:
Diagnosability performance analysis of models and fault detectors. Linköping University, Sweden, 2015 - [c2]Hamed Khorasgani, Gautam Biswas, Daniel E. Jung:
Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection. DX 2015: 75-82 - 2014
- [c1]Hamed Khorasgani, Daniel E. Jung, Gautam Biswas, Erik Frisk, Mattias Krysander:
Robust residual selection for fault detection. CDC 2014: 5764-5769
Coauthor Index
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