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Természettudományos kutatás és technológiafejlesztés folyamatbányászati és deep learning algoritmusokkal
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Ezen az oldalon az NKFI Elektronikus Pályázatkezelő Rendszerében nyilvánosságra hozott projektjeit tekintheti meg.
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Csaba Pigler, Ágnes Fogarassy-Vathy, János Abonyi: Scalable co-Clustering using a Crossing Minimization ‒ Application to Production Flow Analysis, Acta Polytechnica Hungarica Vol. 13, No. 2, 209-222, 2016 | GYULA DÖRGŐ, JÁNOS ABONYI: GROUP CONTRIBUTION METHOD-BASED MULTI-OBJECTIVE EVOLUTIONARY MOLECULAR DESIGN, HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY, Vol. 44(1) pp. 39–49, 2016 | Daniel Leitold, Agnes Vathy-Fogarassy, and Janos Abonyi: Controllability and observability in complex networks – the effect of connection types, Scientific Reports, elfogadva, 2017 | Richard B. Karoly, Janos Abonyi: Multi-temporal sequential pattern mining based improvement of alarm management systems, IEEE Systems Man and Cybernetics Conference, Budapest, 2153, 1-8, 2016 | Dániel Leitold, Ágnes Vathy-Fogarassy, Zoltán Süle*, Robert Manchin, János Abonyi: MEASURING SUSTAINABILITY – NETWORK SCIENCE BASED ANALYSIS OF WATER RESOURCES MODELS, 7th EDSI Conference - THE WATER FOOTPRINT IN DECISION SCIENCES - Helsinki, Finland May 24 – 27, 2016, 189-203, 2016 | ZOLTÁN SÜLE, JÁNOS BAUMGARTNER, JÁNOS ABONYI: SURVIVAL ANALYSIS BASED DECISION SUPPORT SYSTEM – APPLICATION TO PROCESS IMPROVEMENT, 7th EDSI Conference - THE WATER FOOTPRINT IN DECISION SCIENCES - Helsinki, Finland, May 24 – 27, 119-128, 2016 | Tamás Ruppert, János Abonyi: Production order scheduling with stochastic operation times, 7th VOCAL Optimization Conference: Advanced Algorithms, St. Adalbert Conference Center in Esztergom, Hungary, December 12-15, 2016 | Gyula Dörgő, János Abonyi: The formalization of a multiobjective optimization problem for molecular design, 7th VOCAL Optimization Conference: Advanced Algorithms, St. Adalbert Conference Center in Esztergom, Hungary, December 12-15, 2016 | Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi: Process mining based analysis of changeover times - an integrated approach to support line balancing, th VOCAL Optimization Conference: Advanced Algorithms, St. Adalbert Conference Center in Esztergom, Hungary, December 12-15, 2016 | János Baumgartner, Zoltán Süle, Péter Mezőségi, János Abonyi: Test sequence optimization using survival analysis, 7th VOCAL Optimization Conference: Advanced Algorithms, St. Adalbert Conference Center in Esztergom, Hungary, December 12-15, 2016 | Daniel Leitold, Agnes Vathy-Fogarassy, and Janos Abonyi: Controllability and observability in complex networks – the effect of connection types, Scientific Reports, 2017 | G. Dorgo, J. Abonyi: Sequence Mining based Alarm Suppression, IEEE Access, 2018 | Dorgo, P. Pigler, J. Abonyi: Understanding the importance of process alarms based on the analysis of deep recurrent neural networks trained for fault isolation, Journal of Chemometrics, 2018 | Laszlo Gadar, Janos Abonyi: Graph configuration model based evaluation of the education-occupation match, PLOS ONE, open acess megjelenés várható a napokban, 2018 | G. Dörgő, P. Pigler , M. Haragovics: Learning operation strategies from alarm management systems by temporal pattern mining and deep learning, 28th European Symposium on Computer-Aided Process Engineering (ESCAPE), in Computer Aided Chemical Engineering book series, elfogadva, 2018 | Gyula Dorgo, Gergely Honti, Janos Abonyi: Key Factors and Mechanisms of Sustainability - Network Analysis Comparision of Texts and Causal-loop Diagrams, The 6th International Conference on Complex Networks and Their Applications. 412 p. , Konferencia helye, ideje: Lyon, Franciaország, 2017.11.29-2017.12.01. Lyon:2017. pp., 2017 | G. Dörgő, G. Honti, J. Abonyi: Automated analysis of the interactions between sustainable development goals extracted from models and texts of sustainability science, in Chemical Engineering Transactions, PRES 2018 (03/2018), elfogadva, 2018 | K. Varga, G. Dorgo, J. Abonyi: Hierarchical process mining algorithm based on structural analysis of chemical processes, Winter Symposium on Chemometrics, 2018 | G. Dorgo, J. Abonyi: Multi-temporal pattern based fault classification, Conferentia Chemometrica, Gyöngyös-Farkasmály, 03-06. September 2017, Prize for best young scientist presentation., 2017 | Gy Dorgo, J. Abonyi: Improving process safety of water treatment systems by process mining techniques, Víz- és szennyvízkezelés az iparban ’17, 19. October 2017, Prize for best speaker, 2017 | János Baumgartner,Zoltán Süle,Botond Bertók,János Abonyi: Test-sequence optimisation by survival analysis, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH, 2018 | Leitold Daniel,Vathy-Fogarassy Agnes,Abonyi Janos: Evaluation of the Complexity, Controllability and Observability of Heat Exchanger Networks Based on Structural Analysis of Network Representations, ENERGIES 12: (3) pp. 1-24., 2019 | Abonyi J.: Feature selection and transformation based analysis and reduction of many-objective optimisation problems, , 2018 | D Leitold,A Vathy-Fogarassy,K Varga,J Abonyi: RFID-based task time analysis for shop floor optimization, IEEE, 2018 | Daniel Leitold,Agnes Vathy-Fogarassy,Janos Abonyi: Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH 26: pp. 1-19., 2018 | Dörgo G.,Sebestyén V.,Abonyi J.: Evaluating the interconnectedness of the sustainable development goals based on the causality analysis of sustainability indicators, SUSTAINABILITY 10: (10), 2018 | Dörgő Gy,Varga K,Abonyi J: Hierarchical frequent sequence mining algorithm for the analysis of alarm cascades in chemical processes, IEEE ACCESS 2018: pp. 1-20., 2018 | Dörgő Gy.,Ruppert T.,Abonyi J.: Multiobjective optimal sensor placement for data reconciliation, , 2018 | Dörgő Gyula,Abonyi János: Hierarchical Representation Based Constrained Multi-objective Evolutionary Optimisation of Molecular Structures, PERIODICA POLYTECHNICA-CHEMICAL ENGINEERING 1: (1) pp. 1-16., 2018 | Dörgő Gyula,Honti Gergely,Abonyi János: Automated Analysis of the Interactions Between Sustainable Development Goals Extracted from Models and Texts of Sustainability Science, CHEMICAL ENGINEERING TRANSACTIONS 70: pp. 781-786., 2018 | Dörgő Gyula,Pigler Péter,Haragovics Máté,Abonyi János: Learning operation strategies from alarm management systems by temporal pattern mining and deep learning, Elsevier, 2018 | Dörgő Gyula,Varga Kristóf,Haragovics Máté,Szabó Tibor,Abonyi János: Towards Operator 4.0, Increasing Production Efficiency and Reducing Operator Workload by Process Mining of Alarm Data, CHEMICAL ENGINEERING TRANSACTIONS 70: pp. 829-834., 2018 | Gadar Laszlo,Kosztyan Zsolt T.,Abonyi Janos: The Settlement Structure Is Reflected in Personal Investments: Distance-Dependent Network Modularity-Based Measurement of Regional Attractiveness, COMPLEXITY 2018:, 2018 | Gadár László,Kosztyán Zsolt Tibor,Abonyi János: Measurement of regional attractiveness based on company-ownership networks, , 2018 | Gyula Dorgo,Janos Abonyi: Sequence Mining based Alarm Suppression, IEEE ACCESS 6: pp. 15365-15379., 2018 | Gyula Dorgo,Peter Pigler,Janos Abonyi: Understanding the importance of process alarms based on the analysis of deep recurrent neural networks trained for fault isolation, JOURNAL OF CHEMOMETRICS 32: (4), 2018 | Gyula Dörgő,Péter Pigler,János Abonyi: Multivariate statistical models and Bayes chain rule-based analysis of sequence to sequence deep learning models, , 2018 | Laszlo Gadar,Janos Abonyi: Graph configuration model based evaluation of the education-occupation match, PLOS ONE 13: (3), 2018 | Leitold D,Vathy-Fogarassy A,Abonyi J: Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree, SENSORS 18: (9), 2018 | Leitold Dániel,Vathy-Fogarassy Ágnes,Abonyi János: Design-Oriented Structural Controllability and Observability Analysis of Heat Exchanger Networks, CHEMICAL ENGINEERING TRANSACTIONS 70: pp. 595-600., 2018 | Ruppert T,Jaskó Sz,Holczinger T,Abonyi J: Enabling Technologies for Operator 4.0: A Survey, APPLIED SCIENCES-BASEL 8: (9) pp. 1-19., 2018 | Ruppert Tamás,Abonyi János: Worker movement diagram based stochastic model of open paced conveyors, HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY 46: (2) pp. 55-62., 2018 | Süle Zoltán,Baumgartner János,Abonyi János: Reliability - Redundancy Allocation in Process Graphs, CHEMICAL ENGINEERING TRANSACTIONS 70: pp. 991-996., 2018 | Tamás Ruppert,Gergely Honti,János Abonyi: Multilayer Network-Based Production Flow Analysis, COMPLEXITY 2018:, 2018 | Tamas Ruppert,Janos Abonyi: Industrial Internet of Things based cycle time control of assembly lines, IEEE, 2018 | Tamas Ruppert,Janos Abonyi: Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines, SENSORS 18: (7), 2018 | Dörgő Gyula,Abonyi János: Hierarchical Representation Based Constrained Multi-objective Evolutionary Optimisation of Molecular Structures, PERIODICA POLYTECHNICA-CHEMICAL ENGINEERING 1: (1) pp. 1-16., 2018 | Tamás Ruppert,Gergely Honti,János Abonyi: Multilayer Network-Based Production Flow Analysis, COMPLEXITY 2018:, 2018 | Daniel Leitold,Agnes Vathy-Fogarassy,Janos Abonyi: Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH 26: pp. 1-19., 2018 | János Baumgartner,Zoltán Süle,Botond Bertók,János Abonyi: Test-sequence optimisation by survival analysis, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH, 2018 | Leitold Dániel, Vathy-Fogarassy Ágnes, Abonyi János: Network-Based Analysis of Dynamical Systems, Springer International Publishing, 2020 | Dörgő Gyula, Abonyi János: Group Contribution Method-Based Multi-Objective Evolutionary Molecular Design, HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY 44: (1) pp. 39-49., 2016 | Süle Z, Baumgartner J, Bertók B, Abonyi J: Energy Minimization of Test Processes under Uncertainties by the P-graph Methodology, In: Jiří, J Klemeš (szerk.) Sustainable Process Integration Laboratory Scientific Conference, (2017) p. 16., 2017 | Laszlo Gadar, Janos Abonyi: Graph configuration model based evaluation of the education-occupation match, PLOS ONE 13: (3) e0192427, 2018 | Gyula Dorgo, Janos Abonyi: Sequence Mining based Alarm Suppression, IEEE ACCESS 6: pp. 15365-15379., 2018 | Gyula Dorgo, Peter Pigler, Janos Abonyi: Understanding the importance of process alarms based on the analysis of deep recurrent neural networks trained for fault isolation, JOURNAL OF CHEMOMETRICS 32: (4) e3006, 2018 | D Leitold, A Vathy-Fogarassy, K Varga, J Abonyi: RFID-based task time analysis for shop floor optimization, In: IEEE (szerk.) 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018, IEEE (2018) pp. 1-6., 2018 | Tamas Ruppert, Janos Abonyi: Industrial Internet of Things based cycle time control of assembly lines, In: IEEE (szerk.) 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018, IEEE (2018) pp. 1-4., 2018 | Gyula Dörgő, Péter Pigler, János Abonyi: Multivariate statistical models and Bayes chain rule-based analysis of sequence to sequence deep learning models, In: 11th Winter Symposium on Chemometrics, (2018) pp. 29-30., 2018 | Richard Karoly, Janos Abonyi: Multi-temporal sequential pattern mining based improvement of alarm management systems, In: Szakál, A (szerk.) 2016 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings, IEEE (2016) pp. 3870-3875., 2016 | Dörgő Gyula, Abonyi János: Hierarchical Representation Based Constrained Multi-objective Evolutionary Optimisation of Molecular Structures, PERIODICA POLYTECHNICA-CHEMICAL ENGINEERING 63: (1) pp. 210-225., 2019 | Dörgő Gyula, Pigler Péter, Haragovics Máté, Abonyi János: Learning operation strategies from alarm management systems by temporal pattern mining and deep learning, In: Friedl, Anton; J Klemeš, Jiří; Radl, Stefan; S Varbanov, Petar; Wallek, Thomas (szerk.) 28th European Symposium on Computer Aided Process Engineering, Elsevier (2018) pp. 1003-1008., 2018 | Tamás Ruppert, Honti Gergely, János Abonyi: Multilayer Network-Based Production Flow Analysis, COMPLEXITY 2018: 6203754, 2018 | Daniel Leitold, Agnes Vathy-Fogarassy, Janos Abonyi: Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH 27: (2) pp. 455-473., 2019 | Tamas Ruppert, Janos Abonyi: Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines, SENSORS 18: (7) 2346, 2018 | Leitold Dániel, Vathy-Fogarassy Ágnes, Abonyi János: Design-Oriented Structural Controllability and Observability Analysis of Heat Exchanger Networks, CHEMICAL ENGINEERING TRANSACTIONS 70: pp. 595-600., 2018 | Dörgő Gyula, Honti Gergely, Abonyi János: Automated Analysis of the Interactions Between Sustainable Development Goals Extracted from Models and Texts of Sustainability Science, CHEMICAL ENGINEERING TRANSACTIONS 70: pp. 781-786., 2018 | Dörgő Gyula, Varga Kristóf, Haragovics Máté, Szabó Tibor, Abonyi János: Towards Operator 4.0, Increasing Production Efficiency and Reducing Operator Workload by Process Mining of Alarm Data, CHEMICAL ENGINEERING TRANSACTIONS 70: pp. 829-834., 2018 | Süle Zoltán, Baumgartner János, Abonyi János: Reliability - Redundancy Allocation in Process Graphs, CHEMICAL ENGINEERING TRANSACTIONS 70: pp. 991-996., 2018 | Dörgő Gy, Varga K, Abonyi J: Hierarchical frequent sequence mining algorithm for the analysis of alarm cascades in chemical processes, IEEE ACCESS 6: pp. 50197-50216., 2018 | Ruppert T, Jaskó Sz, Holczinger T, Abonyi J: Enabling Technologies for Operator 4.0: A Survey, APPLIED SCIENCES-BASEL 8: (9) 1650, 2018 | Leitold D, Vathy-Fogarassy A, Abonyi J: Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree, SENSORS 18: (9) 3096, 2018 | Dörgo G., Sebestyén V., Abonyi J.: Evaluating the interconnectedness of the sustainable development goals based on the causality analysis of sustainability indicators, SUSTAINABILITY 10: (10) pp. 3766-3792., 2018 | Gadar Laszlo, Kosztyan Zsolt T., Abonyi Janos: The Settlement Structure Is Reflected in Personal Investments: Distance-Dependent Network Modularity-Based Measurement of Regional Attractiveness, COMPLEXITY 2018: 1306704, 2018 | Ruppert Tamás, Abonyi János: Worker movement diagram based stochastic model of open paced conveyors, HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY 46: (2) pp. 55-62., 2018 | Leitold Daniel, Vathy-Fogarassy Agnes, Abonyi Janos: Evaluation of the Complexity, Controllability and Observability of Heat Exchanger Networks Based on Structural Analysis of Network Representations, ENERGIES 12: (3) pp. 1-24., 2019 | Sebestyén Viktor, Bulla Miklós, Rédey Ákos, Abonyi János: Network model-based analysis of the goals, targets and indicators of sustainable development for strategic environmental assessment, JOURNAL OF ENVIRONMENTAL MANAGEMENT 238: pp. 126-135., 2019 | Leitold Dániel, Vathy-Fogarassy Ágnes, Abonyi János: Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox, F1000RESEARCH 8: 646, 2019 | Süle Zoltán, Baumgartner János, Dörgő Gyula, Abonyi János: P-graph-based multi-objective risk analysis and redundancy allocation in safety-critical energy systems, ENERGY 179: pp. 989-1003., 2019 | Honti Gergely Marcell, Abonyi Janos: A Review of Semantic Sensor Technologies in Internet of Things Architectures, COMPLEXITY 2019: pp. 1-21., 2019 | Dorgo Gyula, Abonyi Janos: Learning and predicting operation strategies by sequence mining and deep learning, COMPUTERS & CHEMICAL ENGINEERING 128: pp. 174-187., 2019 | Kummer A., Varga T., Abonyi J.: Genetic programming-based development of thermal runaway criteria, COMPUTERS & CHEMICAL ENGINEERING 131: 106582, 2019 | Honti Gergely, Dörgő Gyula, Abonyi János: Review and structural analysis of system dynamics models in sustainability science, JOURNAL OF CLEANER PRODUCTION 240: pp. 1-25., 2019 | Honti Gergely, Dorgo Gyula, Abonyi Janos: Network analysis dataset of System Dynamics models, DATA IN BRIEF 104723, 2019 | Abonyi János: Constrained Recursive Input Estimation of Blending and Mixing Systems, CHEMICAL ENGINEERING TRANSACTIONS 76: pp. 727-732., 2019 |
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