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Books and Theses
- 2017
[b1]György Eigner:
Closed-Loop Controller Design Possibilities for Nonlinear Physiological Systems. Óbuda University, Hungary, 2017
Journal Articles
- 2024
- [j16]Abdulrahman K. Eesee
, Szilárd Jaskó, György Eigner, János Abonyi, Tamás Ruppert:
Extension of HAAS for the Management of Cognitive Load. IEEE Access 12: 16559-16572 (2024) - [j15]Ádám Gyula Nemes, György Eigner, Peng Shi:
Application of Deep Learning to Enhance Finger Movement Classification Accuracy From UHD-EEG Signals. IEEE Access 12: 139937-139945 (2024) - [j14]Luca Sára Pusztaházi, György Eigner, Orsolya Csiszár:
Parametric Activation Functions for Neural Networks: A Tutorial Survey. IEEE Access 12: 168626-168644 (2024) - [j13]Ádám Gyula Nemes, György Eigner:
Subject Conditioning for Motor Imagery Using Attention Mechanism. IEEE Access 12: 170243-170249 (2024) - [j12]Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, László Szilágyi, Levente Kovács, Amir Mosavi, György Eigner:
Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor. Comput. Biol. Medicine 182: 109167 (2024) - [j11]Barbara Simon, Ádám Hartvég, Lehel Dénes-Fazakas, György Eigner, László Szilágyi:
Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence. Inf. 15(6): 297 (2024) - [j10]Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, Levente Kovács, Eva-Henrietta Dulf, László Szilágyi, György Eigner:
Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks. Sensors 24(8): 2412 (2024) - 2023
- [j9]Tuan-anh Tran, Márta Péntek, Hossein Motahari-Nezhad, János Abonyi, Levente Kovács, László Gulácsi, György Eigner, Zsombor Zrubka, Tamás Ruppert:
Heart Rate Variability Measurement to Assess Acute Work-Content-Related Stress of Workers in Industrial Manufacturing Environment - A Systematic Scoping Review. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6685-6692 (2023) - 2022
- [j8]Tuan-anh Tran, Tamás Ruppert, György Eigner, János Abonyi:
Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions. IEEE Access 10: 64348-64374 (2022) - [j7]Melinda Rácz, Erick Noboa, Borsa Détár, Ádám Nemes, Péter Galambos, László Szücs, Gergely Márton, György Eigner, Tamás Haidegger:
PlatypOUs - A Mobile Robot Platform and Demonstration Tool Supporting STEM Education. Sensors 22(6): 2284 (2022) - [j6]Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, Levente Kovács, György Eigner:
Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals. Sensors 22(21): 8568 (2022) - 2021
- [j5]Iván Sala-Mira, Máté Siket, Levente Kovács, György Eigner, Jorge Bondia:
Effect of Model, Observer and Their Interaction on State and Disturbance Estimation in Artificial Pancreas: An In-Silico Study. IEEE Access 9: 143549-143563 (2021) - 2019
- [j4]Levente Kovács, György Eigner, Máté Siket, László Barkai:
Control of Diabetes Mellitus by Advanced Robust Control Solution. IEEE Access 7: 125609-125622 (2019) - 2018
- [j3]Hamza Khan, József K. Tar, Imre J. Rudas, Levente Kovács, György Eigner:
Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming. Complex. 2018: 4670159:1-4670159:11 (2018) - [j2]Hamza Khan, József K. Tar, Imre J. Rudas, Levente Kovács, György Eigner:
Corrigendum to "Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming". Complex. 2018: 9784597:1 (2018) - 2016
- [j1]Árpád Takács, György Eigner, Levente Kovács, Imre J. Rudas, Tamás Haidegger:
Teacher's Kit: Development, Usability, and Communities of Modular Robotic Kits for Classroom Education. IEEE Robotics Autom. Mag. 23(2): 30-39 (2016)
Conference and Workshop Papers
- 2024
- [c57]Csaba Potyok, Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, György Eigner, Milán Balázs, Levente Kovács, László Szilágyi:
Mobile Application Development for Diabetes Patient. SACI 2024: 559-564 - [c56]Lehel Dénes-Fazakas, Gyozo Dénes Fazakas, György Eigner, Levente Kovács, László Szilágyi:
Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management. SACI 2024: 565-572 - [c55]Miklós Nagy, Barbara Simon, László Szász, Máté Siket, Lehel Dénes-Fazakas, György Eigner, Patrik Péter Süli, Levente Kovács, László Szilágyi:
Web Application Development for Diabetes Patients. SACI 2024: 573-580 - [c54]Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi, Gábor Kertész, György Eigner:
Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects. SISY 2024: 27-32 - [c53]Zsolt Péter Takács, Miklós Vincze, György Eigner:
Development of Gaming AI: A Case Study. SISY 2024: 347-352 - 2023
- [c52]Ferenc Tolner, Balázs Barta, György Eigner:
Economic Resilience and Antifragility: Classification of SMEs' Shock Reactions based on Balance Sheet and Income Statement Data. SACI 2023: 129-134 - [c51]Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács:
Investigation of reward functions for controlling blood glucose level using reinforcement learning. SACI 2023: 387-392 - [c50]Imre Olivér Petho, Tamás Szabolcs Micsik, György Eigner, Szandra Anna Laczi, Rita Fleiner:
Detection and Visualization of Metabolic Pathway Activity Based on Immunohistochemistry. SISY 2023: 315-320 - [c49]Ferenc Tolner, Balázs Barta, György Eigner:
Comprehensive Analysis of H2020 Funding Participation based on LDA Topic Modeling and Robust Outlier Identification. SISY 2023: 327-332 - [c48]Kamilla Novák, Máté Siket, Levente Kovács, Dániel András Drexler, Imre J. Rudas, György Eigner:
Model Predictive Control with Dynamic Positive Input Extension for Artificial Pancreas Applications. SMC 2023: 1313-1319 - [c47]Kamilla Novák, Máté Siket, Levente Kovács, Dániel András Drexler, György Eigner:
Impulsive Model Predictive Control in Type 1 Diabetes Mellitus Applications. SMC 2023: 1320-1326 - [c46]Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács:
Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control. SMC 2023: 1333-1340 - [c45]Lehel Dénes-Fazakas, Levente Kovács, György Eigner, László Szilágyi:
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture. SMC 2023: 3003-3008 - [c44]Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich:
Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. SSCI 2023: 496-500 - 2022
- [c43]Marcell Szántó, Gergo Strasser, László Szász, Lehel Dénes-Fazakas, György Eigner, Gábor Kertész, Levente Kovács:
Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes. AQTR 2022: 1-5 - [c42]Máté Siket, Kamilla Novák, Levente Kovács, György Eigner:
Automatically estimated meals in Model Predictive Control-Moving Horizon Estimation control strategy. ASCC 2022: 1367-1372 - [c41]Ferenc Tolner, Balázs Barta, György Eigner:
Economic Cohesion Perspectives of the EU member Regions: A Non-parametric Approach. SACI 2022: 323-328 - [c40]Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, György Eigner:
Numba-accelerated parameter estimation for artificial pancreas applications. SISY 2022: 279-284 - [c39]Tuan-anh Tran, János Abonyi, Levente Kovács, György Eigner, Tamás Ruppert:
Heart Rate Variability Measurement to Assess Work-Related Stress of Physical Workers in Manufacturing Industries - Protocol for a Systematic Literature Review. SISY 2022: 313-318 - [c38]Ádám Gyula Nemes, György Eigner, Béla Weiss:
Robot control based on EMG correlates of facial expressions using a BCI system. SMC 2022: 1506-1511 - [c37]Lehel Dénes-Fazakas, Máté Siket, Gábor Kertész, László Szilágyi, Levente Kovács, György Eigner:
Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller. SMC 2022: 1512-1517 - [c36]Ferenc Tolner, Balázs Barta, György Eigner:
Comparison of Newton's and Broyden's Method as Nonlinear Solver in the Implementation of MFV-robustified Linear Regression. SMC 2022: 1518-1523 - [c35]Máté Siket, Rebeka Tóth, Imre J. Rudas, György Eigner, Levente Kovács:
Parameter estimation of T1DM models with a particular focus on endogenous glucose production. SMC 2022: 1891-1896 - 2021
- [c34]Ákos Odry, Zoltan Vizvari, Nina Gyorfi, Levente Kovács, György Eigner, Mihály Klincsik, Zoltan Sári, Péter Odry, Attila Tóth:
Application of Heuristic Optimization in Bioimpedance Spectroscopy Evaluation. SACI 2021: 105-112 - [c33]Tuan-anh Tran, Tamás Ruppert, György Eigner, János Abonyi:
Real-time locating system and digital twin in Lean 4.0. SACI 2021: 369-374 - [c32]Ferenc Tolner, György Eigner, Balázs Barta, Márta Takács:
Investigation of High-Growth Firms in the SME sector via the Perspective of Owners and CEOs using Wordclouds. SACI 2021: 375-380 - [c31]Ferenc Tolner, Sándor Fegyverneki, György Eigner, Balázs Barta:
Clustering based on Preferences with K-modes using Categorical Variables. SISY 2021: 55-60 - 2020
- [c30]Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, György Eigner, Vladik Kreinovich:
Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations. NAFIPS 2020: 443-456 - [c29]György Eigner, Miklós Nagy, Levente Kovács:
Machine learning application development to predict blood glucose level based on real time patient data. RIVF 2020: 1-6 - [c28]Jelena Tasic, György Eigner, Levente Kovács:
Review of Algorithms for Improving Control of Blood Glucose Levels. SISY 2020: 179-184 - [c27]Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, Olga Kosheleva, Vladik Kreinovich, György Eigner:
Why Squashing Functions in Multi-Layer Neural Networks. SMC 2020: 1705-1711 - [c26]Árpád Varga, György Eigner, József K. Tar:
Model Based Computed Torque Control for an Experimental Test Bed. SoSE 2020: 349-354 - [c25]Máté Siket, György Eigner, Levente Kovács:
Sensitivity and identifiability analysis of a third-order tumor growth model. SoSE 2020: 417-422 - 2019
- [c24]Levente Kovács, György Eigner, Bence Czakó, Máté Siket, József K. Tar:
An opportunity of using Robust Fixed Point Transformation-based controller design in case of Type 1 Diabetes Mellitus. SA 2019: 1-7 - [c23]Árpád Varga, György Eigner, József K. Tar:
Numerical Simulations for an Experimental Test Bed for Adaptive Control Methods. SISY 2019: 261-266 - [c22]Levente Kovács, Máté Siket, Imre J. Rudas, Anikó Szakál, György Eigner:
Discrete LPV Based Parameter Estimation For TIDM Patients By Using Dual Extended Kalman Filtering Method. SMC 2019: 1390-1395 - [c21]Árpád Varga, Levente Kovács, György Eigner, Dusan Kocur, József K. Tar:
Fixed Point Iteration-based Adaptive Control for a Delayed Differential Equation Model of Diabetes Mellitus. SMC 2019: 1408-1413 - 2018
- [c20]György Eigner, Levente Kovács:
Control of tumor growth by modern control methodologies. AQTR 2018: 1-6 - [c19]Kenan Morani, György Eigner, Tamas Ferenci, Levente Kovács, Seref Naci Engin:
Prediction of the Survival of Patients with Cardiac Failure by Using Soft Computing Techniques. SACI 2018: 201-206 - [c18]György Eigner, Máté Siket, Anikó Szakál, Imre J. Rudas, Levente Kovács:
Discrete LPV Modeling of Diabetes Mellitus for Control Purposes. SMC 2018: 2558-2563 - [c17]György Eigner, Dániel András Drexler, Levente Kovács:
Tumor Growth Control by TP-LPV-LMI Based Controller. SMC 2018: 2564-2569 - 2017
- [c16]György Eigner, Árpád Varga, Miklos Mezei, Levente Kovács:
LPV-based control of nonlinear compartmental model with input uncertainty. SISY 2017: 17-22 - [c15]Árpád Varga, György Eigner, Levente Kovács, Imre Felde, Miklos Mezei:
Overview of taxi database from viewpoint of usability for traffic model development: A case study for Budapest. SISY 2017: 105-110 - [c14]György Eigner, Imre J. Rudas, Anikó Szakál, Levente Kovács:
Tensor product based modeling of tumor growth. SMC 2017: 900-905 - [c13]György Eigner, Levente Kovács:
Linear matrix inequality based control of tumor growth. SMC 2017: 1734-1739 - [c12]György Eigner, Gabor Szogi, Péter Pausits, Imre J. Rudas, Levente Kovács:
Nonlinear identification of a tumor growth model for validating cancer treatments. SMC 2017: 3159-3163 - 2016
- [c11]György Eigner, Péter Pausits, Levente Kovács:
A novel completed LPV controller and observer scheme in order to control nonlinear compartmental systems. SISY 2016: 85-92 - [c10]Levente Kovács, György Eigner:
Convex polytopic modeling of diabetes mellitus: A Tensor Product based approach. SMC 2016: 3393-3398 - [c9]György Eigner, Imre J. Rudas, Levente Kovács:
Investigation of the TP-based modeling possibility of a nonlinear ICU diabetes model. SMC 2016: 3405-3410 - 2015
- [c8]Levente Kovács, Balazs Kurtan, György Eigner, Imre J. Rudas, Chee-Kong Chui:
Analysis of a novel time-delay diabetes model. ECC 2015: 13-18 - [c7]Levente Kovács, Tamas Ferenci, Johanna Sápi, György Eigner, József Klespitz, Péter Szalay, Miklós Kozlovszky, Imre J. Rudas:
Physiological modeling and control at Obuda University. SACI 2015: 21-25 - [c6]György Eigner, József K. Tar, Levente Kovács:
Adaptive control solution for T1DM control. SACI 2015: 215-220 - [c5]György Eigner, Péter Horváth, József K. Tar, Imre J. Rudas, Levente Kovács:
Application of Robust Fixed Point Control in Case of T1DM. SMC 2015: 2459-2464 - 2014
- [c4]György Eigner, Peter Istvan Sas, Levente Kovács:
Continuous glucose monitoring systems in the service of artificial pancreas. SACI 2014: 117-122 - [c3]Levente Kovács, Johanna Sápi, György Eigner, Tamas Ferenci, Péter Szalay, József Klespitz, Balazs Kurtan, Miklós Kozlovszky, Dániel András Drexler, Péter Pausits, István Á. Harmati, Zoltan Sápi, Imre J. Rudas:
Model-based healthcare applications at Óbuda University. SACI 2014: 183-187 - [c2]Péter Szalay, Adrienn Molnar, Mark Muller, György Eigner, Imre J. Rudas, Zoltán Benyó, Levente Kovács:
Comparison of sigma-point filters for state estimation of diabetes models. SMC 2014: 2476-2481 - 2013
- [c1]Péter Szalay, György Eigner, Miklós Kozlovszky, Imre J. Rudas, Levente Kovács:
The significance of LPV modeling of a widely used T1DM model. EMBC 2013: 3531-3534
Coauthor Index
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