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Gyula Dörgő
Gyula Dörgő
MTA-PE Lendület Complex Systems Monitoring Research Group
Email confirmado em fmt.uni-pannon.hu - Página inicial
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Ano
Evaluating the Interconnectedness of the Sustainable Development Goals Based on the Causality Analysis of Sustainability Indicators
G Dörgő, V Sebestyén, J Abonyi
Sustainability 10 (10), 3766, 2018
642018
Review and structural analysis of system dynamics models in sustainability science
G Honti, G Dörgő, J Abonyi
Journal of Cleaner Production 240, 118015, 2019
452019
Sequence mining based alarm suppression
G Dorgo, J Abonyi
IEEE Access 6, 15365-15379, 2018
292018
Learning and predicting operation strategies by sequence mining and deep learning
G Dorgo, J Abonyi
Computers & Chemical Engineering 128, 174-187, 2019
282019
Decision trees for informative process alarm definition and alarm-based fault classification
G Dorgo, A Palazoglu, J Abonyi
Process Safety and Environmental Protection 149, 312-324, 2020
272020
Understanding the importance of process alarms based on the analysis of deep recurrent neural networks trained for fault isolation
G Dorgo, P Pigler, J Abonyi
Journal of Chemometrics 32 (4), e3006, 2018
262018
P-graph-based multi-objective risk analysis and redundancy allocation in safety-critical energy systems
Z Süle, J Baumgartner, G Dörgő, J Abonyi
Energy 179, 989-1003, 2019
182019
Directions of membrane separator development for microbial fuel cells: A retrospective analysis using frequent itemset mining and descriptive statistical approach
L Koók, G Dörgő, P Bakonyi, T Rózsenberszki, N Nemestóthy, ...
Journal of Power Sources 478, 229014, 2020
172020
Fuzzy activity time-based model predictive control of open-station assembly lines
T Ruppert, G Dorgo, J Abonyi
Journal of Manufacturing Systems 54, 12-23, 2020
172020
Automated Analysis of the Interactions Between Sustainable Development Goals Extracted from Models and Texts of Sustainability Science
G Dorgo, G Honti, J Abonyi
Chemical Engineering Transactions 70, 781-786, 2018
172018
Hierarchical frequent sequence mining algorithm for the analysis of alarm cascades in chemical processes
G Dorgo, K Varga, J Abonyi
IEEE Access 6, 50197-50216, 2018
122018
Quality vs. quantity of alarm messages-How to measure the performance of an alarm system
G Dorgo, F Tandari, T Szabó, A Palazoglu, J Abonyi
Chemical Engineering Research and Design 173, 63-80, 2021
102021
Learning operation strategies from alarm management systems by temporal pattern mining and deep learning
G Dorgo, P Pigler, M Haragovics, J Abonyi
Computer Aided Chemical Engineering 43, 1003-1008, 2018
102018
Processing indoor positioning data by goal-oriented supervised fuzzy clustering for tool management
A Darányi, G Dörgő, T Ruppert, J Abonyi
Journal of Manufacturing Systems 63, 15-22, 2022
82022
Sparse PCA Support Exploration of Process Structures for Decentralized Fault Detection
M Theisen, G Dörgő, J Abonyi, A Palazoglu
Industrial & Engineering Chemistry Research 60 (22), 8183-8195, 2021
72021
Network analysis dataset of system dynamics models
G Honti, G Dörgő, J Abonyi
Data in brief 27, 2019
72019
Process mining in production systems
J Abonyi, G Dorgo
2019 IEEE 23rd International Conference on Intelligent Engineering Systems …, 2019
62019
Towards Operator 4.0, Increasing Production Efficiency and Reducing Operator Workload by Process Mining of Alarm Data
G Dorgo, K Varga, M Haragovics, T Szabo, J Abonyi
Chemical Engineering Transactions 70, 829-834, 2018
62018
Comparison of the effects of thermal pretreatment, steam explosion and ultrasonic disintegration on digestibility of corn stover
D Capári, G Dörgő, A Dallos
Journal of Sustainable Development of Energy, Water and Environment Systems …, 2016
62016
Identifying the links among urban climate hazards, mitigation and adaptation actions and sustainability for future resilient cities
V Sebestyén, G Dörgȍ, Á Ipkovich, J Abonyi
Urban Climate, 101557, 2023
52023
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