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ORCIDDávid Csercsik
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2020 – today
- 2024
[d1]Dávid Csercsik
, Eduard A. Jorswieck:
Preallocation simulation data (CA) for Multiconnective URLLC (Matlab). IEEE DataPort, 2024
- 2023
- [j10]Dávid Csercsik, Eduard A. Jorswieck:
Preallocation-Based Combinatorial Auction for Efficient Fair Channel Assignments in Multi-Connectivity Networks. IEEE Trans. Wirel. Commun. 22(11): 8407-8422 (2023) - 2022
- [j9]István Z. Reguly, Dávid Csercsik, János Juhász, Kálmán Tornai, Zsófia Bujtár, Gergely Horváth, Bence Keömley-Horváth, Tamás Kós, György Cserey, Kristóf Iván, Sándor Pongor, Gábor Szederkényi, Gergely Röst, Attila Csikász-Nagy:
Microsimulation based quantitative analysis of COVID-19 management strategies. PLoS Comput. Biol. 18(1) (2022) - [i7]Dávid Csercsik, Eduard A. Jorswieck:
Optimal Parametrization and Comparative Analysis of Preallocation Methods for Combinatorial Auction-Based Channel Assignment. CoRR abs/2209.00331 (2022) - [i6]Dávid Csercsik:
A potential mechanism of gas supply-security cooperation based on a game-theoretic model. CoRR abs/2209.05089 (2022) - 2021
- [i5]Dávid Csercsik, Eduard A. Jorswieck:
Preallocation-based Combinatorial Auction for Efficient Fair Channel Assignments in Multi-Connectivity Networks. CoRR abs/2112.05628 (2021) - 2020
- [i4]Dávid Csercsik:
Introduction of flexible production bids and combined package-price bids in a framework of integrated power-reserve market coupling. CoRR abs/2004.13466 (2020) - [i3]Dávid Csercsik:
Quantitative supply security related significance measures for gas reservoires. CoRR abs/2012.01095 (2020) - [i2]Botond Feczkó, Dávid Csercsik:
Bid-aggregation based clearing of day-ahead electricity markets. CoRR abs/2012.03344 (2020)
2010 – 2019
- 2019
- [j8]Dávid Csercsik, Levente Kovács:
Dynamic Modeling of the Angiogenic Switch and Its Inhibition by Bevacizumab. Complex. 2019: 9079104:1-9079104:18 (2019) - [c8]Dávid Csercsik, Balázs R. Sziklai, Sándor Imre:
Cake-cutting approach for privacy-enhanced base station sharing in a linear model of user assignment. ISWCS 2019: 618-623 - 2018
- [j7]Dávid Csercsik, Hubert János Kiss:
Optimal Payments to Connected Depositors in Turbulent Times: A Markov Chain Approach. Complex. 2018: 9434608:1-9434608:14 (2018) - [c7]Tamas Gonczy, Dávid Csercsik, Levente Kovács:
A hybrid cellular automaton model of tumor-induced angiogenesis. AQTR 2018: 1-6 - [c6]Dávid Csercsik, Johanna Sápi, Levente Kovács:
Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment. CCTA 2018: 1383-1388 - 2017
- [j6]Dávid Csercsik, Sándor Imre:
Cooperation and coalitional stability in decentralized wireless networks. Telecommun. Syst. 64(4): 571-584 (2017) - [c5]Dávid Csercsik, Sándor Imre:
Partition formation in a cooperative model of hybrid wireless communication. CAMAD 2017: 1-5 - [c4]Dávid Csercsik, Johanna Sápi, Tamas Gonczy, Levente Kovács:
Bi-compartmental modelling of tumor and supporting vasculature growth dynamics for cancer treatment optimization purpose. CDC 2017: 4698-4702 - 2016
- [j5]Dávid Csercsik:
Lying generators: manipulability of centralized payoff mechanisms in electrical energy trade. Central Eur. J. Oper. Res. 24(4): 923-937 (2016) - 2015
- [j4]Dávid Csercsik, Balázs R. Sziklai:
Traffic routing oligopoly. Central Eur. J. Oper. Res. 23(4): 743-762 (2015) - [c3]Dávid Csercsik, Sándor Imre:
Position guided local routing and reconfiguration in mobile telecommunication networks with scale-free topology. MED 2015: 947-952 - 2014
- [c2]Dávid Csercsik, Gábor Szederkényi:
Parametric analysis of dynamically equivalent reaction network models. MED 2014: 1365-1370 - 2012
- [j3]Dávid Csercsik, Katalin M. Hangos, Gábor Szederkényi:
Identifiability analysis and parameter estimation of a single Hodgkin-Huxley type voltage dependent ion channel under voltage step measurement conditions. Neurocomputing 77(1): 178-188 (2012) - [j2]Dávid Csercsik, Imre Farkas, Erik Hrabovszky, Zsolt Liposits:
A simple integrative electrophysiological model of bursting GnRH neurons. J. Comput. Neurosci. 32(1): 119-136 (2012) - 2010
- [b1]Dávid Csercsik:
Dynamical Modelling and Model Analysis in Neuroendocrinology. Pázmány Péter Catholic University, Hungary, 2010 - [j1]Dávid Csercsik, Imre Farkas, Gábor Szederkényi, Erik Hrabovszky, Zsolt Liposits, Katalin M. Hangos:
Hodgkin-Huxley type modelling and parameter estimation of GnRH neurons. Biosyst. 100(3): 198-207 (2010) - [i1]Dávid Csercsik, Gábor Szederkényi, Katalin M. Hangos:
Modelling of Rapid and Slow Transmission Using the Theory of Reaction Kinetic Networks. ERCIM News 2010(82): 22 (2010)
2000 – 2009
- 2009
- [c1]Dávid Csercsik, Gábor Szederkényi, Katalin M. Hangos, Imre Farkas:
Model synthesis identification a Hodgkin-Huxley-type neuron model. ECC 2009: 3058-3063
Coauthor Index
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