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Automated Generation of Hybrid Probabilistic Risk Models from SysML v2 Models of Software-Defined Manufacturing Systems

P. Grimmeisen, M. Diaconeasa, Y. Ma, and A. Morozov. (2022)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yuliang Ma University of Stuttgart

Hanbing Ma University of Stuttgart

Nastasia Makki University of Stuttgart

Data for Äbsorbing State Phase Transition with Clifford Circuits"N. Makki, N. Lang, and H. Büchler. Dataset, (2024)Related to: Makki, Nastasia, Lang, Nicolai & Büchler, Hans Peter (2024). Absorbing state phase transition with Clifford circuits. Phys. Rev. Res. 6, 013278. doi: 10.1103/PhysRevResearch.6.013278.

Prof. Dr.-Ing. Thomas Maier Universität Stuttgart

Daniel Marino

Other publications of authors with the same name

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization.Y. Ma, X. Ding, Q. She, Z. Luo, T. Potter, and Y. Zhang. Comp. Math. Methods in Medicine, (2016)Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks.Y. Ma, Y. Yuan, F. Zhu, G. Wang, J. Xiao, and J. Wang. J. Comput. Sci. Technol., 34 (1): 170-184 (2019)Trust-Aware Personalized Route Query Using Extreme Learning Machine in Location-Based Social Networks.Y. Ma, Y. Yuan, G. Wang, X. Bi, and H. Qin. Cognitive Computation, 10 (6): 965-979 (2018)Driving Fatigue Detection from EEG Using a Modified PCANet Method.Y. Ma, B. Chen, R. Li, C. Wang, J. Wang, Q. She, Z. Luo, and Y. Zhang. Comp. Int. and Neurosc., (2019)Influence Maximization Using User Connectivity Guarantee in Social Networks.X. Qiao, Y. Ma, Y. Yuan, and X. Zhou. ICBK, page 369-376. IEEE, (2021)Detection and classification of robotic manipulator anomalies using MLSTM-FCN modelsY. Ma, P. Grimmeisen, and A. Morozov. ASME 2022 International Mechanical Engineering Congress & Exposition (IMECE 2022), 30.Oct-3. Nov. 2022, 2022, (2022)Automated and Continuous Risk Assessment for ROS-Based Software-Defined Robotic SystemsP. Grimmeisen, R. Golwalkar, Y. Ma, and A. Morozov. page 1-7. (August 2023)Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification.Q. She, Y. Ma, M. Meng, and Z. Luo. Comp. Int. and Neurosc., (2015)Local Experts Finding Across Multiple Social Networks.Y. Ma, Y. Yuan, G. Wang, Y. Wang, D. Ma, and P. Cui. DASFAA (2), volume 11447 of Lecture Notes in Computer Science, page 536-554. Springer, (2019)An Effective Method for Community Search in Large Directed Attributed Graphs.Z. Wang, Y. Yuan, G. Wang, H. Qin, and Y. Ma. MSN, volume 747 of Communications in Computer and Information Science, page 237-251. Springer, (2017)

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Disambiguation of "Ma, Yuliang"

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Automated Generation of Hybrid Probabilistic Risk Models from SysML v2 Models of Software-Defined Manufacturing Systems

Please choose a person to relate this publication to

Yuliang Ma University of Stuttgart

Hanbing Ma University of Stuttgart

Nastasia Makki University of Stuttgart

Prof. Dr.-Ing. Thomas Maier Universität Stuttgart

Daniel Marino

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Ma, Yuliang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automated Generation of Hybrid Probabilistic Risk Models from SysML v2 Models of Software-Defined Manufacturing Systems

Please choose a person to relate this publication to

Yuliang Ma University of Stuttgart

Hanbing Ma University of Stuttgart

Nastasia Makki University of Stuttgart

Prof. Dr.-Ing. Thomas Maier Universität Stuttgart

Daniel Marino

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Automated Generation of Hybrid Probabilistic Risk Models from SysML v2 Models of Software-Defined Manufacturing Systems