István Harmati

ORCID: 0000-0002-0915-9718
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About
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Research Areas
  • Multi-Criteria Decision Making
  • Robotic Path Planning Algorithms
  • Cognitive Science and Mapping
  • Fuzzy Systems and Optimization
  • Mathematical Biology Tumor Growth
  • Cognitive Computing and Networks
  • Angiogenesis and VEGF in Cancer
  • Guidance and Control Systems
  • Robotic Mechanisms and Dynamics
  • Reinforcement Learning in Robotics
  • Cancer, Hypoxia, and Metabolism
  • Mechanical Engineering and Vibrations Research
  • Transportation Planning and Optimization
  • Vehicle Dynamics and Control Systems
  • Robotic Locomotion and Control
  • Traffic control and management
  • Control and Dynamics of Mobile Robots
  • Fuzzy Logic and Control Systems
  • Robot Manipulation and Learning
  • Optimization and Mathematical Programming
  • Modular Robots and Swarm Intelligence
  • Traffic Prediction and Management Techniques
  • Multi-Agent Systems and Negotiation
  • Distributed Control Multi-Agent Systems
  • Data Management and Algorithms

Budapest University of Technology and Economics
2014-2025

Széchenyi István University
2016-2025

Polish Academy of Sciences
2021

Universidad de Cádiz
2021

Institute for Computer Science and Control
2020

Magyar Agrár- és Élettudományi Egyetem
2014

Andrássy University Budapest
2003-2007

Simon Fraser University
2002

Szent János Kórház
1996

Respiratory parameters, such as respiratory rate (RR), inhalation time (tin), exhalation (tex), and their ratio (IER=tin/tex), are of great importance to indicate clinical differences between healthy people those with diseases. Herein, we report a respiration monitoring triboelectric nanogenerator (RM-TENG) nanofibrous membranes, which can be used smart, changeable, self-powered mask filter high filtration efficiency for multiple indices (e.g., RR, tin, tex, IER). We created mathematical...

10.1016/j.nanoen.2021.106418 article EN cc-by-nc-nd Nano Energy 2021-08-11

Objective. The extraction and identification of single-unit activities in intracortically recorded electric signals have a key role basic neuroscience, but also applied fields, like the development high-accuracy brain–computer interfaces. purpose this paper is to present our current results on detection, classification prediction neural based multichannel action potential recordings. Approach. Throughout investigations, deep learning approach utilizing convolutional networks combination...

10.1088/1741-2552/ab4896 article EN Journal of Neural Engineering 2019-09-28

This study presents a cellular lane-changing model where the traffic lanes are discretized into cells and formulates process as multi-player non-zero-sum non-cooperative game in connected environment real-time surrounding data is shared. In congested scenario large quantity of mandatory maneuvers required simultaneously, size extended dynamically (i.e., 2–5 players this case, it can be more if necessary) based on situation. Discretionary also considered decision-making to maximize use...

10.1016/j.engappai.2021.104530 article EN cc-by-nc-nd Engineering Applications of Artificial Intelligence 2021-11-05

Background: Accurate orientation of resected breast specimens is crucial for proper pathological evaluation and reliable margin assessment. Misorientation can compro-mise analysis, potentially leading to imprecise re-excisions increasing the risk local recurrence. This study aims evaluate a new specimen plate designed maintain consistent tissue compare its effectiveness with traditional suture marking techniques. Methods: A single-center, prospective, randomized two-arm trial compared...

10.20944/preprints202501.1608.v2 preprint EN 2025-03-11

The Hungarian economy exhibits a notable underinsurance phenomenon, with insurance penetration at mere 2.8%, significantly lower than the European Union average of 8%. This situation indicates substantial growth potential within market, particularly in life and non-life sectors, contingent upon development solvent demand favorable demand-stimulating factors. Anticipated transformations structure market may arise due to both endogenous exogenous influences, likely resulting heightened...

10.24294/jipd9808 article EN Journal of Infrastructure Policy and Development 2025-01-07

Background: Accurate orientation of resected breast specimens is crucial for proper pathological evaluation and reliable margin assessment. Misorientation can compromise analysis, potentially leading to imprecise re-excisions increasing the risk local recurrence. This study aims evaluate a new specimen plate designed maintain consistent tissue compare its effectiveness with traditional suture marking techniques. Methods: A single-center, prospective, randomized two-arm trial compared...

10.20944/preprints202501.1608.v1 preprint EN 2025-01-22

Background: Accurate orientation of resected breast specimens is essential for proper pathological evaluation and margin assessment. Misorientation may compromise analysis, lead to imprecise re-excisions, increase the risk local recurrence. This study aims evaluate a novel specimen plate designed maintain consistent tissue compares its effectiveness traditional suture marking. Methods: In single-center, prospective, randomized two-arm trial, 56 were oriented with new 54 conventional sutures....

10.3390/biomedicines13040984 article EN cc-by Biomedicines 2025-04-17

As traffic congestion grows tremendous and frequent in the urban transportation system, many efficient models with reinforcement learning (RL) methods have already been proposed to optimize this situation. A multi-agent (MARL) system can be constructed from problem, where incoming links (i.e., sections) are regarded as agents actions made by for controlling signal lights. semi-cooperative Nash Q-learning approach on basis of single-agent equilibrium is presented paper, which agree process...

10.1016/j.conengprac.2020.104525 article EN cc-by-nc-nd Control Engineering Practice 2020-06-30

Cancer diseases are one of the most lethal, incurable today, thus fighting cancer is an actual and urgent problem in clinical practice. Beside classical therapies, a new approach represented by model-based where human body works as complex system. These therapies called targeted molecular (TMTs). TMTs specifically against different mechanisms usually don't eliminate whole tumor, but control tumor into given state keep it there. The aim antiangiogenic therapy to prevent tumors from forming...

10.1109/sami.2012.6208945 article EN 2012-01-01

Every therapy that fights against cancer aims to reduce the tumor volume as far possible. However, price of low has be paid twice: financial cost and also side effect cost. In this article, we present qualitative correlation between steady-state inhibitor serum concentration based on growth model. Assuming standard state feedback, parameters controller. case using an observer, specify expression for determining error observer. We apply a limit feedback guarantee stability closed-loop system...

10.1002/oca.2196 article EN Optimal Control Applications and Methods 2015-09-09

The maximal entropy OWA operator (MEOWA) weights can be obtained by solving a nonlinear programming problem with linear constraint for the level of orness. Since exact MEOWA are not known general case we only find approximate solutions. We will prove that obtaining is well-posed: it has unique solution and each weight changes continuously initial Using implicit function theorem show Lipschitz-continuous functions orness level. stability property under small guarantees rounding errors digital...

10.1016/j.fss.2022.01.003 article EN cc-by-nc-nd Fuzzy Sets and Systems 2022-01-13

Cancer represents nowadays one of the most destructive and lethal illnesses our civilization. In last decades, clinical cancer research shifted towards molecular targeted therapies which have limited side effects in comparison to conventional chemotherapy radiation therapy. Antiangiogenic therapy is proved be promising treatment methods. This paper concerns on model-based control tumor growth under angiogenic inhibition. The model nonlinear, augmented with a linear representing...

10.1109/saci.2012.6249998 article EN 2012-05-01

The incidence of non-palpable breast cancer is increasing due to widespread screening and neoadjuvant therapies. Among the available tumor localization techniques, radio-guided occult lesion (ROLL) has largely replaced wire-guided (WGL). This study aimed compare ROLL WGL techniques in terms effectiveness isotopic marking axillary sentinel lymph nodes assess patient perspectives along with surgeon radiologist preferences. A single-center, prospective randomized enrolled 110 patients lesions...

10.20944/preprints202410.0424.v1 preprint EN 2024-10-07

This paper summarizes the results of research tasks in field physiological modeling and control diseases with high public health impact carried out by Biomedical Engineering Laboratory Budapest University Technology Economics. The developed presented optimal algorithms strategies focus on three diabetes (the question artificial pancreas), obesity (predicting obesity-related risks) cancer (antiangiogenic chemotherapy). studies are done together different Hungarian hospitals, from where...

10.1109/ines.2011.5954713 article EN 2011-06-01

The main aim of the paper is to introduce a novel method - based on fuzzy control and linear parameter varying (LPV) system representation transformable into HOSVD Canonical form for modeling deformation processes with respect distribution absorbed kinetic energy. Modeling such kind requires many uncertain input parameters. Using proposed concept we are able handle them keep complexity models low by using higher order singular value decomposition (HOSVD) technique.

10.5555/1486768.1486771 article EN WSEAS TRANSACTIONS on SYSTEMS archive 2008-11-01

This paper presents a methodology for avoiding joint limits of robot manipulators in the solution differential inverse kinematics problem. A nonlinear transformation is applied to limits, leading new formulation defined space transformed variables. The introduced ensures that variables stay between limits. Optimality conditions are converted into space, and closed-loop applied. effectiveness method demonstrated on simulational example.

10.3311/ppee.7163 article EN Periodica Polytechnica Electrical Engineering 2012-01-01

In the last decades beside conventional cancer treatment methods, molecular targeted therapies show prosperous results. These have limited side-effects, and in comparison to chemotherapy, tumorous cells lower tendency of becoming resistant applied antiangiogenic drugs. clinical research, therapy is one most promising methods. Using a simplified model reference dynamical for tumor growth under angiogenic inhibition from literature, exact linearization performed paper handle nonlinear behavior...

10.1109/cdc.2013.6760184 article EN 2013-12-01

Fighting tumors is one of the most important problems medical research. In this paper, antiangiogenic cancer therapy investigated through its mathematical model.This tumor treatment method targets endothelium a growing and belongs to targeted molecular therapies.The aim not eliminate entire tumor,but decrease minimal volume. An advantage applying that cells show lower tendency becoming resistant applied drugs.Adaptive fuzzy control implemented for simplified model elaborate technique which...

10.3311/ppee.7030 article EN Periodica Polytechnica Electrical Engineering and Computer Science 2014-01-01
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