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ORCIDArne-Jens Hempel
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2020 – today
- 2024
[j2]Timm Faulwasser
, Arne-Jens Hempel, Stefan Streif:
On the turnpike to design of deep neural networks: Explicit depth bounds. IFAC J. Syst. Control. 30: 100290 (2024)- 2023
- [j1]Murali Padmanabha, Alexander Kobelski, Arne-Jens Hempel, Stefan Streif:
Modelling and optimal control of growth, energy, and resource dynamics of Hermetia illucens in mass production environment. Comput. Electron. Agric. 206: 107649 (2023) - [i8]Simon Hellmann, Arne-Jens Hempel, Stefan Streif, Sören Weinrich:
Observability and Identifiability Analyses of Process Models for Agricultural Anaerobic Digestion Plants. CoRR abs/2301.05068 (2023) - 2022
- [i7]Patrick Schmidt, Arne-Jens Hempel, Stefan Streif:
High-gain observer for the nitrification process including sensor dynamics. CoRR abs/2208.04300 (2022) - [i6]Alexander Kobelski, Arne-Jens Hempel, Murali Padmanabha, Luiz-Carlos Wille, Stefan Streif:
Process Optimization of Black Soldier Fly Egg Production via Model Based Control. CoRR abs/2212.05776 (2022) - [i5]Murali Padmanabha, Alexander Kobelski, Arne-Jens Hempel, Stefan Streif:
Modeling and optimal control of growth, energy, and resource dynamics of Hermetia illucens in mass production environment. CoRR abs/2212.10348 (2022) - 2021
- [i4]Timm Faulwasser, Arne-Jens Hempel, Stefan Streif:
On the Turnpike to Design of Deep Neural Nets: Explicit Depth Bounds. CoRR abs/2101.03000 (2021) - 2020
- [i3]Gernot Herbst, Arne-Jens Hempel, Thomas Göhrt, Stefan Streif:
Half-Gain Tuning for Active Disturbance Rejection Control. CoRR abs/2003.03986 (2020) - [i2]Lukas Munser, Arne-Jens Hempel, Grigory Devadze, Stefan Streif:
Prototypical Description and Controller Design for a Set of Systems Using v-gap Based Clustering. CoRR abs/2007.07541 (2020) - [i1]Murali Padmanabha, Alexander Kobelski, Arne-Jens Hempel, Stefan Streif:
A comprehensive dynamic growth and development model of Hermetia illucens larvae. CoRR abs/2008.05888 (2020)
2010 – 2019
- 2015
- [c8]Holger Hähnel, Arne-Jens Hempel, Gernot Herbst:
Towards Evolving Parametric Fuzzy Classifiers Using a Virtual Sample Generation Approach. IFSA-EUSFLAT 2015 - 2014
- [c7]Arne-Jens Hempel, Holger Hähnel, Gernot Herbst:
Building Hybrid Fuzzy Classifier Trees by Additive/Subtractive Composition of Sets. IPMU (2) 2014: 516-525 - 2013
- [c6]Arne-Jens Hempel, Holger Hähnel, Gernot Herbst:
Learning non-convex fuzzy classifiers using single-class SVMs. FUZZ-IEEE 2013: 1-8 - 2011
- [b1]Arne-Jens Hempel:
Netzorientierte Fuzzy-Pattern-Klassifikation nichtkonvexer Objektmengenmorphologien. Chemnitz University of Technology, 2011, ISBN 978-3-941003-46-0, pp. 1-174 - [c5]Gernot Herbst, Arne-Jens Hempel, Rainer Fletling, Steffen F. Bocklisch:
Membership-based clustering of heterogeneous fuzzy data. EUSFLAT Conf. 2011: 283-289 - [c4]Arne-Jens Hempel, Gernot Herbst, Steffen F. Bocklisch:
Modelling and aggregation of heterogeneous fuzzy data. EUSFLAT Conf. 2011: 1066-1073 - 2010
- [c3]Arne-Jens Hempel, Steffen F. Bocklisch:
Fuzzy Classification of Nonconvex Data-Inherent Structures. IPMU (1) 2010: 416-425
2000 – 2009
- 2009
- [c2]Arne-Jens Hempel, Steffen F. Bocklisch:
Parametric Fuzzy Modelling Framework for Complex Data-Inherent Structures. IFSA/EUSFLAT Conf. 2009: 885-890 - 2008
- [c1]Arne-Jens Hempel, Steffen F. Bocklisch:
Hierarchical Modelling of Data Inherent Structures Using Networks of Fuzzy Classifiers. UKSim 2008: 230-235
Coauthor Index
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