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ORCIDDániel Kozma
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2020 – today
- 2022
[b1]Dániel Kozma:
Digital Production and Supply Supported by Lifecycle Management in Industry 4.0. Budapest University of Technology and Economics, Hungary, 2022- [c9]Tamás Matuszka, Dániel Kozma:
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations. ACIIDS (2) 2022: 216-229 - [i1]Tamás Matuszka, Dániel Kozma:
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations. CoRR abs/2207.09869 (2022) - 2021
- [j4]Dániel Kozma
, Pál Varga, Felix Larrinaga:
Dynamic Multilevel Workflow Management Concept for Industrial IoT Systems. IEEE Trans Autom. Sci. Eng. 18(3): 1354-1366 (2021) - 2020
- [c8]Dániel Kozma, Pál Varga, Kristóf Szabó:
Achieving Flexible Digital Production with the Arrowhead Workflow Choreographer. IECON 2020: 4503-4510
2010 – 2019
- 2019
- [c7]Dániel Kozma, Gábor Soós, Dániel Ficzere, Pál Varga:
Communication Challenges and Solutions between Heterogeneous Industrial IoT Systems. CNSM 2019: 1-6 - [c6]Dániel Kozma, Pál Varga, Felix Larrinaga:
Data-driven Workflow Management by utilising BPMN and CPN in IIoT Systems with the Arrowhead Framework. ETFA 2019: 385-392 - [c5]Dániel Kozma, Pál Varga, Gábor Soós:
Supporting Digital Production, Product Lifecycle and Supply Chain Management in Industry 4.0 by the Arrowhead Framework - a Survey. INDIN 2019: 126-131 - 2018
- [c4]Pál Varga, Dániel Kozma, Csaba Hegedüs:
Data-Driven Workflow Execution in Service Oriented IoT Architectures. ETFA 2018: 203-210 - [c3]Gabor Soos, Dániel Kozma, Ferenc Nándor Janky, Pál Varga:
IoT Device Lifecycle - A Generic Model and a Use Case for Cellular Mobile Networks. FiCloud 2018: 176-183 - 2017
- [c2]Pál Varga, Dániel Kozma, Tamas Tothfalusi:
Assembling VoLTE CDRs based on network monitoring - challenges with fragmented information. IM 2017: 979-982 - 2016
- [c1]Csaba Hegedüs, Dániel Kozma, Gabor Soos, Pál Varga:
Enhancements of the Arrowhead Framework to refine inter-cloud service interactions. IECON 2016: 5259-5264 - 2015
- [j3]Dániel Kozma, Gábor E. Tusnády:
TMFoldRec: a statistical potential-based transmembrane protein fold recognition tool. BMC Bioinform. 16: 201:1-201:9 (2015) - 2013
- [j2]Dániel Kozma, István Simon, Gábor E. Tusnády:
PDBTM: Protein Data Bank of transmembrane proteins after 8 years. Nucleic Acids Res. 41(Database-Issue): 524-529 (2013) - 2012
- [j1]Dániel Kozma, István Simon, Gábor E. Tusnády:
CMWeb: an interactive on-line tool for analysing residue-residue contacts and contact prediction methods. Nucleic Acids Res. 40(Web-Server-Issue): 329-333 (2012)
Coauthor Index
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