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Levente Kovács
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2020 – today
- 2025
- [j36]Masoumeh Vali, Hossein Motahari-Nezhad, Levente Kovács, Amir H. Gandomi:
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis. BMC Medical Informatics Decis. Mak. 25(1): 34 (2025) - 2024
- [j35]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) - [j34]Róbert Pethes
, Eliza Bodor-Eranus
, Károly Takács, Levente Kovács:
The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network Data. Complex. 2024: 3956877:1-3956877:22 (2024) - [j33]Fei Lin
, Qinghua Ni
, Jing Yang
, Juanjuan Li
, Nan Zheng
, Levente Kovács
, Radu Prodan
, Mariagrazia Dotoli
, Qing-Long Han
, Fei-Yue Wang
:
Securing the Future After PagerBombs: Lifecycle Protection of Smart Devices via Blockchain Intelligence. IEEE CAA J. Autom. Sinica 11(12): 2355-2358 (2024) - [j32]Áron Hölgyesi
, Zsombor Zrubka
, László Gulácsi
, Petra Baji
, Tamás Haidegger
, Miklós Kozlovszky
, Miklós Weszl
, Levente Kovács
, Márta Péntek
:
Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey. BMC Medical Informatics Decis. Mak. 24(1): 87 (2024) - [j31]Barbara Tóth
, Hossein Motahari-Nezhad
, Nicki Horseman
, László Berek
, Levente Kovács
, Áron Hölgyesi
, Márta Péntek
, Seyedali Mirjalili
, László Gulácsi
, Zsombor Zrubka
:
Ranking resilience: assessing the impact of scientific performance and the expansion of the Times Higher Education Word University Rankings on the position of Czech, Hungarian, Polish, and Slovak universities. Scientometrics 129(3): 1739-1770 (2024) - [j30]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) - [j29]Daotong Zhang
, Peng Shi
, Ramesh K. Agarwal
, Levente Kovács
:
Reference Tracking MPC for Cyber-Physical Systems Under Denial-of-Service Attacks: An Omnidirectional Robot Application. IEEE Syst. J. 18(2): 1248-1256 (2024) - [j28]Rui Zhou
, Jingwei Ge
, Jing Yang
, Peijun Ye
, Yuchen Li
, Levente Kovács
:
Large Models Defining a New Era in Intelligence Testing: A Short Discussion and Exploration. IEEE Trans. Intell. Veh. 9(8): 5247-5249 (2024) - [j27]Levente Kovács
, Tamás Ferenci
, Balázs Gombos, András Füredi, Imre J. Rudas
, Gergely Szakács, Dániel András Drexler
:
Positive Impulsive Control of Tumor Therapy - A Cyber-Medical Approach. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 597-608 (2024) - [c177]Zsolt Csaba Johanyák
, Edit Laufer
, Levente Kovács
:
Fuzzy Logic-Based Preliminary Risk Assessment for a Supervised Federated Learning Solution in Predicting Student Results. CCCI 2024: 1-8 - [c176]Szabolcs Csaholczi
, Ágnes Györfi
, Levente Kovács
, László Szilágyi
:
Segmentation of Brain Tumor Parts from Multi-spectral MRI Records Using Deep Learning and U-Net Architecture. CIARP (2) 2024: 191-204 - [c175]Vivien Patakvölgyi, Levente Kovács, Dániel András Drexler:
Artificial Neural Networks Based Cell Counting Techniques Using Microscopic Images: A Review. SACI 2024: 327-332 - [c174]Lilla Kisbenedek, Melánia Puskás, Borbála Gergics, Levente Kovács, Dániel András Drexler:
Noise Reduction with Wavelet Transform for Clustering Time Series of Tumor Volumes. SACI 2024: 339-344 - [c173]Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler:
A Review of Multi-Objective Optimization Algorithms in the Field of Chemotherapy Optimization. SACI 2024: 345-350 - [c172]Masoumeh Vali, Levente Kovács, Amir H. Gandomi:
A New Mutation Operator for Tabu Search Algorithm for Continuous Optimization. SACI 2024: 509-514 - [c171]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 - [c170]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 - [c169]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 - [c168]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 - [c167]Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler:
Multi-Objective Chemotherapy Optimization Using NSGA-II and Epsilon-Constraint Method. SISY 2024: 179-184 - [c166]László Horváth, Levente Kovács:
Extended Engineering Software Support for Multiphysical Research in Applied Informatics. SoMeT 2024: 123-136 - 2023
- [j26]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) - [c165]Mirtill-Boglárka Naghi, Levente Kovács, László Szilágyi:
A Self-Tuning Version for the Possibilistic Fuzzy $c-\text{means}$ Clustering Algorithm. FUZZ 2023: 1-6 - [c164]Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler:
In silico chemotherapy optimization with genetic algorithm. SACI 2023: 97-102 - [c163]Tamás Dániel Szücs, Melánia Puskás, Dániel András Drexler, Levente Kovács:
Model predictive fuzzy control in chemotherapy optimization. SACI 2023: 103-108 - [c162]Lilla Kisbenedek, Melánia Puskás, Levente Kovács, Dániel András Drexler:
Indirect supervised fine-tuning of a tumor model parameter estimator neural network. SACI 2023: 109-116 - [c161]Jelena Tasic
, Márta Takács
, Levente Kovács:
A Kinetic Model-Based Approach for Estimating Hemoglobin A1c Based on Average Glucose. SACI 2023: 153-158 - [c160]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 - [c159]Márta Péntek, Tamás Haidegger, János Tibor Czere, Levente Kovács, Zsombor Zrubka, László Gulácsi:
EQ-5D studies in robotic surgery: a mini-review. SACI 2023: 519-524 - [c158]Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler:
Population-Based Chemotherapy Optimization Using Genetic Algorithm. SISY 2023: 23-28 - [c157]Lilla Kisbenedek, Melánia Puskás, Levente Kovács, Dániel András Drexler:
Clustering-Based Parameter Estimation of a Tumor Model. SISY 2023: 43-48 - [c156]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 - [c155]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 - [c154]Ágnes Gyorfi, Levente Kovács, László Szilágyi:
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture. SMC 2023: 1327-1332 - [c153]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 - [c152]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 - 2022
- [j25]Milad Mousavi, Mahsa Dehghan Manshadi, Madjid Soltani, Farshad Moradi Kashkooli
, Arman Rahmim
, Amir Mosavi
, Michal Kvasnica
, Peter M. Atkinson
, Levente Kovács
, Andras Koltay, Norbert Kiss, Hojjat Adeli
:
Modeling the efficacy of different anti-angiogenic drugs on treatment of solid tumors using 3D computational modeling and machine learning. Comput. Biol. Medicine 146: 105511 (2022) - [j24]Amirhosein Mosavi
, Ardashir Mohammadzadeh
, Rathinasamy Sakthivel
, Chunwei Zhang
, Uwe Reuter
, Levente Kovács, Hojjat Adeli
:
Deep learning fuzzy immersion and invariance control for type-I diabetes. Comput. Biol. Medicine 149: 105975 (2022) - [j23]Levente Kovács, Bence Czakó
, Máté Siket, Tamás Ferenci, András Füredi, Balázs Gombos, Gergely Szakács, Dániel András Drexler:
Experimental Closed-Loop Control of Breast Cancer in Mice. Complex. 2022: 9348166:1-9348166:10 (2022) - [j22]Eva Hajnal
, Levente Kovács, Gergely Vakulya
:
Dairy Cattle Rumen Bolus Developments with Special Regard to the Applicable Artificial Intelligence (AI) Methods. Sensors 22(18): 6812 (2022) - [j21]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) - [c151]Bence Czakó, Dániel András Drexler, Levente Kovács:
Control of a T1DM Model Using Robust Fixed-Point Transformations Based Control With Disturbance Rejection. AQTR 2022: 1-6 - [c150]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 - [c149]Máté Siket, Kamilla Novák, Levente Kovács, György Eigner:
Automatically estimated meals in Model Predictive Control-Moving Horizon Estimation control strategy. ASCC 2022: 1367-1372 - [c148]Dániel András Drexler, Maria Ghita, Levente Kovács:
On the relative degree of perturbed nonlinear systems. ASCC 2022: 1759-1764 - [c147]Katalin Ferencz, József Domokos, Levente Kovács:
A statistical approach to time series sensor data evaluation using Apache Spark modules. SACI 2022: 329-334 - [c146]Máté Siket, Lehel Dénes-Fazakas
, Levente Kovács, György Eigner:
Numba-accelerated parameter estimation for artificial pancreas applications. SISY 2022: 279-284 - [c145]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 - [c144]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 - [c143]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 - [c142]László Horváth, Levente Kovács:
New Methods for Contextual Communication in Modeling Software Platform (MSP). SoMeT 2022: 129-139 - 2021
- [j20]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) - [j19]Petra Takacs, Levente Kovács, Andrea Manno-Kovacs
:
A fusion of salient and convolutional features applying healthy templates for MRI brain tumor segmentation. Multim. Tools Appl. 80(15): 22533-22550 (2021) - [c141]David Iclanzan, Rodica Ioana Lung, Zsolt Levente Kucsván, Béla Surányi, Levente Kovács, László Szilágyi:
The role of atlases and multi-atlases in brain tissue segmentation based on multispectral magnetic resonance image data. AFRICON 2021: 1-6 - [c140]Andrea Koble, Ágnes Gyorfi, Szabolcs Csaholczi, Béla Surányi, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi:
Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. AFRICON 2021: 1-6 - [c139]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 - [c138]Katalin Ferencz, József Domokos, Levente Kovács:
Review of Industry 4.0 Security Challenges. SACI 2021: 245-248 - [c137]Ogbolu Melvin Omone, Alex Ugochukwu Gbenimachor, Levente Kovács, Miklós Kozlovszky:
Knowledge Estimation with HPV and Cervical Cancer Risk Factors Using Logistic Regression. SACI 2021: 381-386 - [c136]Levente Kovács, Gábor Kertész:
Hungarian Traffic Sign Detection and Classification using Semi-Supervised Learning. SACI 2021: 437-442 - [c135]Stefano-Niko Orzen, Levente Kovács:
Simulation of Session Real-Time Events with OMNET++ and Java Modelling Tools. SISY 2021: 45-48 - [c134]László Horváth, Levente Kovács:
Engineering Platform as Integrated Software for Model Mediated Research. SoMeT 2021: 235-247 - 2020
- [j18]Zoltan Vizvari
, Nina Gyorfi, Ákos Odry
, Zoltan Sári, Mihály Klincsik
, Marin Gergics
, Levente Kovács, Anita Kovács, Jozsef Pal
, Zoltán Karádi, Péter Odry, Attila Tóth:
Physical Validation of a Residual Impedance Rejection Method during Ultra-Low Frequency Bio-Impedance Spectral Measurements. Sensors 20(17): 4686 (2020) - [c133]Bence Géza Czakó, Dániel András Drexler, Levente Kovács:
Impulsive Control of Tumor Growth via Nonlinear Model Predictive Control Using Direct Multiple Shooting. ECC 2020: 755-760 - [c132]Szabolcs Csaholczi, David Iclanzan, Levente Kovács, László Szilágyi:
Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier. ICONIP (1) 2020: 174-184 - [c131]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 - [c130]Ogbolu Melvin Omone, Levente Kovács, Miklós Kozlovszky:
The Differences in Hydration and Dehydration Status: Physiological Characteristics in Students. SACI 2020: 71-76 - [c129]Mátyás Szigeti, Tamás Ferenci, Levente Kovács:
The use of peak over threshold methods to characterise blood glucose curves. SACI 2020: 199-204 - [c128]Jelena Tasic
, György Eigner, Levente Kovács:
Review of Algorithms for Improving Control of Blood Glucose Levels. SISY 2020: 179-184 - [c127]Ágnes Gyorfi, Szabolcs Csaholczi, Tímea Fülöp, Levente Kovács, László Szilágyi:
Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach. SMC 2020: 1699-1704 - [c126]József Klespitz, Levente Kovács:
On the way to strict glycemic control for hemodialysis patients. SoSE 2020: 381-384 - [c125]Bálint Péceli, Dániel András Drexler, Levente Kovács:
Optimal scheduling of low-dose metronomic chemotherapy: an in-silico analysis. SoSE 2020: 411-416 - [c124]Máté Siket, György Eigner, Levente Kovács:
Sensitivity and identifiability analysis of a third-order tumor growth model. SoSE 2020: 417-422 - [c123]Mátyás Szigeti, Tamás Ferenci, Levente Kovács:
The use of block maxima method of extreme value statistics to characterise blood glucose curves. SoSE 2020: 433-438 - [c122]Peter Piros, Rita Fleiner, Levente Kovács:
Random Forest-based predictive modelling on Hungarian Myocardial Infarction Registry. SoSE 2020: 525-530 - [c121]Tímea Fülöp, Ágnes Gyorfi, Szabolcs Csaholczi, Levente Kovács, László Szilágyi:
Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning*. SoSE 2020: 531-536
2010 – 2019
- 2019
- [j17]Levente Kovács, György Eigner
, Máté Siket, László Barkai
:
Control of Diabetes Mellitus by Advanced Robust Control Solution. IEEE Access 7: 125609-125622 (2019) - [j16]Parisa Yazdjerdi, Nader Meskin
, Mohammad Al-Naemi, Ala-Eddin Al Moustafa, Levente Kovács
:
Reinforcement learning-based control of tumor growth under anti-angiogenic therapy. Comput. Methods Programs Biomed. 173: 15-26 (2019) - [j15]Dávid Csercsik
, Levente Kovács
:
Dynamic Modeling of the Angiogenic Switch and Its Inhibition by Bevacizumab. Complex. 2019: 9079104:1-9079104:18 (2019) - [j14]Peter Piros, Tamas Ferenci, Rita Fleiner, Péter Andréka, Hamido Fujita
, László Fozo, Levente Kovács, András Jánosi:
Comparing machine learning and regression models for mortality prediction based on the Hungarian Myocardial Infarction Registry. Knowl. Based Syst. 179: 1-7 (2019) - [c120]Bence Géza Czakó, Dániel András Drexler, Levente Kovács:
Continuous time Robust Fixed Point Transformations based control. AFRICON 2019: 1-6 - [c119]Ágnes Gyorfi, Levente Kovács, László Szilágyi:
Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods. CIARP 2019: 326-335 - [c118]Ágnes Gyorfi, Zoltán Karetka-Mezei, David Iclanzan, Levente Kovács, László Szilágyi:
A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data. CIARP 2019: 375-384 - [c117]Loránd Székely, Eva-Henrietta Dulf
, Levente Kovács:
Development of an Approach to a Biologically Inspired Self-Organizing Control Structure. CSCS 2019: 36-41 - [c116]Ágnes Gyorfi, Levente Kovács, László Szilágyi:
A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data. EMBC 2019: 804-807 - [c115]Balázs Nagy, Levente Kovács, Csaba Benedek:
SFM And Semantic Information Based Online Targetless Camera-LIDAR Self-Calibration. ICIP 2019: 1317-1321 - [c114]Balázs Nagy, Levente Kovács, Csaba Benedek:
Online Targetless End-to-End Camera-LIDAR Self-calibration. MVA 2019: 1-6 - [c113]József Klespitz, Imre Felde, Levente Kovács, Gergely Pintér, László Nádai:
Systemic Fluid Balance Control in Hemodialysis Machines with ANFIS. RIVF 2019: 1-5 - [c112]Dániel András Drexler, Levente Kovács:
Optimization of impulsive discrete-time tumor chemotherapy. SA 2019: 1-7 - [c111]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 - [c110]Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács:
Comparison of Michaelis-Menten kinetics modeling alternatives in cancer chemotherapy modeling. SACI 2019: 27-32 - [c109]Peter Piros, Rita Fleiner, Tamás Ferenci, Levente Kovács, András Jánosi:
Comparing the predictive power of decision tree models with different tuning approaches on Hungarian Myocardial Infarction Registry. SACI 2019: 326-331 - [c108]Dániel András Drexler, Tamás Ferenci, Levente Kovács:
Extended tumor growth model for combined therapy. SMC 2019: 886-891 - [c107]Ágnes Gyorfi, Levente Kovács, László Szilágyi:
Brain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods. SMC 2019: 909-914 - [c106]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 - [c105]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 - [i1]Andrea Manno-Kovacs, Csaba Benedek, Levente Kovács:
Content-Based Analysis of Medical Image Data for Augmented Reality Based Health Applications. ERCIM News 2019(118) (2019) - 2018
- [j13]Tamas Ferenci
, Levente Kovács
:
Predicting body fat percentage from anthropometric and laboratory measurements using artificial neural networks. Appl. Soft Comput. 67: 834-839 (2018) - [j12]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) - [j11]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) - [c104]Eva-Henrietta Dulf
, Levente Kovács:
Fractional order control of the cyber-physical cryogenic isotope separation columns cascade system. AQTR 2018: 1-6 - [c103]György Eigner, Levente Kovács:
Control of tumor growth by modern control methodologies. AQTR 2018: 1-6 - [c102]Tamas Gonczy, Dávid Csercsik, Levente Kovács:
A hybrid cellular automaton model of tumor-induced angiogenesis. AQTR 2018: 1-6 - [c101]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 - [c100]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 - [c99]József Klespitz, Levente Kovács:
Multivariable Control Structures of Hemodialysis Machines for Patient Fluid Balance Maintenance. SACI 2018: 415-418 - [c98]György Eigner, Máté Siket, Anikó Szakál, Imre J. Rudas, Levente Kovács:
Discrete LPV Modeling of Diabetes Mellitus for Control Purposes. SMC 2018: 2558-2563 - [c97]György Eigner, Dániel András Drexler, Levente Kovács:
Tumor Growth Control by TP-LPV-LMI Based Controller. SMC 2018: 2564-2569 - 2017
- [j10]Dániel András Drexler
, Johanna Sápi, Levente Kovács:
Modeling of Tumor Growth Incorporating the Effects of Necrosis and the Effect of Bevacizumab. Complex. 2017: 5985031:1-5985031:10 (2017) - [j9]