The significance of LPV modeling of a widely used T1DM model. - Péter Szalay; György Eigner; Miklós Kozlovszky; Imre J. Rudas; Levente Kovács (EMBC, 2013)

Continuous glucose monitoring systems in the service of artificial pancreas. - György Eigner; Peter Istvan Sas; Levente Kovács (SACI, 2014)

Model-based healthcare applications at Óbuda University. - 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; et al. (SACI, 2014)

Comparison of sigma-point filters for state estimation of diabetes models. - Péter Szalay; Adrienn Molnar; Mark Muller; György Eigner; Imre J. Rudas; Zoltán Benyó; Levente Kovács (SMC, 2014)

Analysis of a novel time-delay diabetes model. - Levente Kovács; Balazs Kurtan; György Eigner; Imre J. Rudas; Chee-Kong Chui (ECC, 2015)

Adaptive control solution for T1DM control. - György Eigner; József K. Tar; Levente Kovács (SACI, 2015)

Physiological modeling and control at Obuda University. - Levente Kovács; Tamas Ferenci; Johanna Sápi; György Eigner; József Klespitz; Péter Szalay; Miklós Kozlovszky; Imre J. Rudas (SACI, 2015)

Application of Robust Fixed Point Control in Case of T1DM. - György Eigner; Péter Horváth; József K. Tar; Imre J. Rudas; Levente Kovács (SMC, 2015)

A novel completed LPV controller and observer scheme in order to control nonlinear compartmental systems. - György Eigner; Péter Pausits; Levente Kovács (SISY, 2016)

Investigation of the TP-based modeling possibility of a nonlinear ICU diabetes model. - György Eigner; Imre J. Rudas; Levente Kovács (SMC, 2016)

Convex polytopic modeling of diabetes mellitus: A Tensor Product based approach. - Levente Kovács; György Eigner (SMC, 2016)

Teacher's Kit: Development, Usability, and Communities of Modular Robotic Kits for Classroom Education. - Árpád Takács; György Eigner; Levente Kovács; Imre J. Rudas; Tamás Haidegger (IEEE Robotics Autom. Mag., 2016)

LPV-based control of nonlinear compartmental model with input uncertainty. - György Eigner; Árpád Varga; Miklos Mezei; Levente Kovács (SISY, 2017)

Overview of taxi database from viewpoint of usability for traffic model development: A case study for Budapest. - Árpád Varga; György Eigner; Levente Kovács; Imre Felde; Miklos Mezei (SISY, 2017)

Linear matrix inequality based control of tumor growth. - György Eigner; Levente Kovács (SMC, 2017)

Tensor product based modeling of tumor growth. - György Eigner; Imre J. Rudas; Anikó Szakál; Levente Kovács (SMC, 2017)

Nonlinear identification of a tumor growth model for validating cancer treatments. - György Eigner; Gabor Szogi; Péter Pausits; Imre J. Rudas; Levente Kovács (SMC, 2017)

Closed-Loop Controller Design Possibilities for Nonlinear Physiological Systems - György Eigner (2017)

Control of tumor growth by modern control methodologies. - György Eigner; Levente Kovács (AQTR, 2018)

Prediction of the Survival of Patients with Cardiac Failure by Using Soft Computing Techniques. - Kenan Morani; György Eigner; Tamas Ferenci; Levente Kovács; Seref Naci Engin (SACI, 2018)

Tumor Growth Control by TP-LPV-LMI Based Controller. - György Eigner; Dániel András Drexler; Levente Kovács (SMC, 2018)

Discrete LPV Modeling of Diabetes Mellitus for Control Purposes. - György Eigner; Máté Siket; Anikó Szakál; Imre J. Rudas; Levente Kovács (SMC, 2018)

Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming. - Hamza Khan 003; József K. Tar; Imre J. Rudas; Levente Kovács; György Eigner (Complex., 2018)

Corrigendum to "Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming". - Hamza Khan 003; József K. Tar; Imre J. Rudas; Levente Kovács; György Eigner (Complex., 2018)

An opportunity of using Robust Fixed Point Transformation-based controller design in case of Type 1 Diabetes Mellitus. - Levente Kovács; György Eigner; Bence Czakó; Máté Siket; József K. Tar (SA, 2019)

Numerical Simulations for an Experimental Test Bed for Adaptive Control Methods. - Árpád Varga; György Eigner; József K. Tar (SISY, 2019)

Discrete LPV Based Parameter Estimation For TIDM Patients By Using Dual Extended Kalman Filtering Method. - Levente Kovács; Máté Siket; Imre J. Rudas; Anikó Szakál; György Eigner (SMC, 2019)

Fixed Point Iteration-based Adaptive Control for a Delayed Differential Equation Model of Diabetes Mellitus. - Árpád Varga; Levente Kovács; György Eigner; Dusan Kocur; József K. Tar (SMC, 2019)

Control of Diabetes Mellitus by Advanced Robust Control Solution. - Levente Kovács; György Eigner; Máté Siket; László Barkai (IEEE Access, 2019)

Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations. - Julio C. Urenda; Orsolya Csiszár; Gábor Csiszár; József Dombi 001; György Eigner; Vladik Kreinovich (NAFIPS, 2020)

Machine learning application development to predict blood glucose level based on real time patient data. - György Eigner; Miklós Nagy; Levente Kovács (RIVF, 2020)

Review of Algorithms for Improving Control of Blood Glucose Levels. - Jelena Tasic; György Eigner; Levente Kovács (SISY, 2020)

Why Squashing Functions in Multi-Layer Neural Networks. - Julio C. Urenda; Orsolya Csiszár; Gábor Csiszár; József Dombi 001; Olga Kosheleva; Vladik Kreinovich; György Eigner (SMC, 2020)

Sensitivity and identifiability analysis of a third-order tumor growth model. - Máté Siket; György Eigner; Levente Kovács (SoSE, 2020)

Model Based Computed Torque Control for an Experimental Test Bed. - Árpád Varga; György Eigner; József K. Tar (SoSE, 2020)

Why Kappa Regression? - Julio C. Urenda; Orsolya Csiszár; Gábor Csiszár; József Dombi 001; György Eigner; Olga Kosheleva; Vladik Kreinovich (IFSA/EUSFLAT/AGOP, 2021)

Application of Heuristic Optimization in Bioimpedance Spectroscopy Evaluation. - Ákos Odry; Zoltan Vizvari; Nina Gyorfi; Levente Kovács; György Eigner; Mihály Klincsik; Zoltan Sári; Péter Odry; Attila Tóth (SACI, 2021)

Investigation of High-Growth Firms in the SME sector via the Perspective of Owners and CEOs using Wordclouds. - Ferenc Tolner; György Eigner; Balázs Barta; Márta Takács (SACI, 2021)

Real-time locating system and digital twin in Lean 4.0. - Tuan-anh Tran; Tamás Ruppert; György Eigner; János Abonyi (SACI, 2021)

Clustering based on Preferences with K-modes using Categorical Variables. - Ferenc Tolner; Sándor Fegyverneki; György Eigner; Balázs Barta (SISY, 2021)

Effect of Model, Observer and Their Interaction on State and Disturbance Estimation in Artificial Pancreas: An In-Silico Study. - Iván Sala-Mira; Máté Siket; Levente Kovács; György Eigner; Jorge Bondia (IEEE Access, 2021)

Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes. - Marcell Szántó; Gergo Strasser; László Szász; Lehel Dénes-Fazakas; György Eigner; Gábor Kertész; Levente Kovács (AQTR, 2022)

Automatically estimated meals in Model Predictive Control-Moving Horizon Estimation control strategy. - Máté Siket; Kamilla Novák; Levente Kovács; György Eigner (ASCC, 2022)

Economic Cohesion Perspectives of the EU member Regions: A Non-parametric Approach. - Ferenc Tolner; Balázs Barta; György Eigner (SACI, 2022)

Numba-accelerated parameter estimation for artificial pancreas applications. - Máté Siket; Lehel Dénes-Fazakas; Levente Kovács; György Eigner (SISY, 2022)

Heart Rate Variability Measurement to Assess Work-Related Stress of Physical Workers in Manufacturing Industries - Protocol for a Systematic Literature Review. - Tuan-anh Tran; János Abonyi; Levente Kovács; György Eigner; Tamás Ruppert (SISY, 2022)

Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller. - Lehel Dénes-Fazakas; Máté Siket; Gábor Kertész; László Szilágyi; Levente Kovács; György Eigner (SMC, 2022)

Robot control based on EMG correlates of facial expressions using a BCI system. - Ádám Gyula Nemes; György Eigner; Béla Weiss (SMC, 2022)

Parameter estimation of T1DM models with a particular focus on endogenous glucose production. - Máté Siket; Rebeka Tóth; Imre J. Rudas; György Eigner; Levente Kovács (SMC, 2022)

Comparison of Newton's and Broyden's Method as Nonlinear Solver in the Implementation of MFV-robustified Linear Regression. - Ferenc Tolner; Balázs Barta; György Eigner (SMC, 2022)

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions. - Tuan-anh Tran; Tamás Ruppert; György Eigner; János Abonyi (IEEE Access, 2022)

Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals. - Lehel Dénes-Fazakas; Máté Siket; László Szilágyi; Levente Kovács; György Eigner (Sensors, 2022)

PlatypOUs - A Mobile Robot Platform and Demonstration Tool Supporting STEM Education. - Melinda Rácz; Erick Noboa; Borsa Détár; Ádám Nemes; Péter Galambos; László Szücs; Gergely Márton; György Eigner; Tamás Haidegger (Sensors, 2022)

Investigation of reward functions for controlling blood glucose level using reinforcement learning. - Lehel Dénes-Fazakas; Máté Siket; László Szilágyi; György Eigner; Levente Kovács (SACI, 2023)

Economic Resilience and Antifragility: Classification of SMEs' Shock Reactions based on Balance Sheet and Income Statement Data. - Ferenc Tolner; Balázs Barta; György Eigner (SACI, 2023)

Detection and Visualization of Metabolic Pathway Activity Based on Immunohistochemistry. - Imre Olivér Petho; Tamás Szabolcs Micsik; György Eigner; Szandra Anna Laczi; Rita Fleiner (SISY, 2023)

Comprehensive Analysis of H2020 Funding Participation based on LDA Topic Modeling and Robust Outlier Identification. - Ferenc Tolner; Balázs Barta; György Eigner (SISY, 2023)

Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture. - Lehel Dénes-Fazakas; Levente Kovács; György Eigner; László Szilágyi (SMC, 2023)

Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control. - Lehel Dénes-Fazakas; Máté Siket; László Szilágyi; György Eigner; Levente Kovács (SMC, 2023)

Impulsive Model Predictive Control in Type 1 Diabetes Mellitus Applications. - Kamilla Novák; Máté Siket; Levente Kovács; Dániel András Drexler; György Eigner (SMC, 2023)

Model Predictive Control with Dynamic Positive Input Extension for Artificial Pancreas Applications. - Kamilla Novák; Máté Siket; Levente Kovács; Dániel András Drexler; Imre J. Rudas; György Eigner (SMC, 2023)

Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. - Lehel Dénes-Fazakas; László Szilágyi; György Eigner; Olga Kosheleva; Martine Ceberio; Vladik Kreinovich (SSCI, 2023)

Heart Rate Variability Measurement to Assess Acute Work-Content-Related Stress of Workers in Industrial Manufacturing Environment - A Systematic Scoping Review. - Tuan-anh Tran; Márta Péntek; Hossein Motahari-Nezhad; János Abonyi; Levente Kovács; László Gulácsi; György Eigner; Zsombor Zrubka; Tamás Ruppert (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management. - Lehel Dénes-Fazakas; Gyozo Dénes Fazakas; György Eigner; Levente Kovács; László Szilágyi (SACI, 2024)

Web Application Development for Diabetes Patients. - Miklós Nagy; Barbara Simon; László Szász; Máté Siket; Lehel Dénes-Fazakas; György Eigner; Patrik Péter Süli; Levente Kovács; László Szilágyi (SACI, 2024)

Mobile Application Development for Diabetes Patient. - Csaba Potyok; Barbara Simon; Ádám Hartvég; Máté Siket; Lehel Dénes-Fazakas; György Eigner; Milán Balázs; Levente Kovács; László Szilágyi (SACI, 2024)

Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects. - Barbara Simon; Ádám Hartvég; Máté Siket; Lehel Dénes-Fazakas; Levente Kovács; László Szilágyi; Gábor Kertész; György Eigner (SISY, 2024)

Development of Gaming AI: A Case Study. - Zsolt Péter Takács; Miklós Vincze; György Eigner (SISY, 2024)

Extension of HAAS for the Management of Cognitive Load. - Abdulrahman K. Eesee; Szilárd Jaskó; György Eigner; János Abonyi; Tamás Ruppert (IEEE Access, 2024)

Subject Conditioning for Motor Imagery Using Attention Mechanism. - Ádám Gyula Nemes; György Eigner (IEEE Access, 2024)

Application of Deep Learning to Enhance Finger Movement Classification Accuracy From UHD-EEG Signals. - Ádám Gyula Nemes; György Eigner; Peng Shi 001 (IEEE Access, 2024)

Parametric Activation Functions for Neural Networks: A Tutorial Survey. - Luca Sára Pusztaházi; György Eigner; Orsolya Csiszár (IEEE Access, 2024)

Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor. - Lehel Dénes-Fazakas; Barbara Simon; Ádám Hartvég; László Szilágyi; Levente Kovács; Amir Mosavi; György Eigner (Comput. Biol. Medicine, 2024)

Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks. - Lehel Dénes-Fazakas; Barbara Simon; Ádám Hartvég; Levente Kovács; Eva-Henrietta Dulf; László Szilágyi; György Eigner (Sensors, 2024)

Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence. - Barbara Simon; Ádám Hartvég; Lehel Dénes-Fazakas; György Eigner; László Szilágyi (Inf., 2024)

Innovating with the BlackAnt Platform: A Scoping Review on Trends, Challenges, and Resource Optimization Opportunities. - Milán Balázs; György Eigner (SACI, 2025)

How Do Future Science Parks Tend to Grow? - Viktória Buday; Magnus Klofsten; György Eigner (SACI, 2025)

Exploring Vision Transformer Architectures for Brain Tumor Classification: A Comprehensive Study. - Lehel Dénes-Fazakas; Barbara Simon; Ádám Hartvég; Szabolcs Csaholczi; György Eigner; Levente Kovács; László Szilágyi (SACI, 2025)

Temporal Coupling of Brain Signals and Fine Motor Output Using Affordable EEG. - Ádám Gyula Nemes; Ádám Gyulai; Ádám Szarvas; Erno Németh; Kristóf Tajti; Viktor Tóth; György Eigner (IEEE Access, 2025)