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 | 81 | 2018 |
Review and structural analysis of system dynamics models in sustainability science G Honti, G Dörgő, J Abonyi Journal of Cleaner Production 240, 118015, 2019 | 56 | 2019 |
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 | 44 | 2020 |
Sequence mining based alarm suppression G Dorgo, J Abonyi IEEE Access 6, 15365-15379, 2018 | 38 | 2018 |
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 | 32 | 2018 |
Learning and predicting operation strategies by sequence mining and deep learning G Dorgo, J Abonyi Computers & Chemical Engineering 128, 174-187, 2019 | 29 | 2019 |
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 | 21 | 2020 |
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 | 21 | 2019 |
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 | 19 | 2018 |
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 | 18 | 2023 |
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 | 18 | 2020 |
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 | 14 | 2021 |
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 | 12 | 2022 |
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 | 12 | 2018 |
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 | 12 | 2018 |
Network analysis dataset of system dynamics models G Honti, G Dörgő, J Abonyi Data in brief 27, 2019 | 9 | 2019 |
Process mining in production systems J Abonyi, G Dorgo 2019 IEEE 23rd International Conference on Intelligent Engineering Systems …, 2019 | 9 | 2019 |
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 | 8 | 2021 |
Event-Tree Based Sequence Mining Using LSTM Deep-Learning Model J Abonyi, R Károly, G Dörgő Complexity 2021, 2021 | 8 | 2021 |
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 | 7 | 2016 |