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| Data sheet of PhD student |
 Print preview| Publications |
2021
 from data base, 2021. VIII. 23. |
Dorgo Gyula, Tandari Ferenc, Szabó Tibor, Palazoglu Ahmet, Abonyi János: Quality vs. quantity of alarm messages - How to measure the performance of an alarm system, CHEMICAL ENGINEERING RESEARCH AND DESIGN 173: pp. 63-80.
type of document: Journal paper/Article
language: English
URL |
2020
from data base, 2021. VIII. 23. |
Ruppert Tamas, Dorgo Gyula, Abonyi Janos: Fuzzy activity time-based model predictive control of open-station assembly lines, JOURNAL OF MANUFACTURING SYSTEMS 54: pp. 12-23.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL |
2020
from data base, 2021. VIII. 23. |
Koók László, Dörgő Gyula, Bakonyi Péter, Rózsenberszki Tamás, Nemestóthy Nándor, Bélafi-Bakó Katalin, Abonyi János: Directions of membrane separator development for microbial fuel cells: A retrospective analysis using frequent itemset mining and descriptive statistical approach, JOURNAL OF POWER SOURCES 478: p. 229014.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL |
2019
from data base, 2021. VIII. 23. |
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.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL |
2019
from data base, 2021. VIII. 23. |
Dorgo Gyula, Abonyi Janos: Learning and predicting operation strategies by sequence mining and deep learning, COMPUTERS & CHEMICAL ENGINEERING 128: pp. 174-187.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL |
2019
from data base, 2021. VIII. 23. |
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.
type of document: Journal paper/Article
number of independent citations: 14
language: English
URL |
2018
from data base, 2021. VIII. 23. |
Gyula Dorgo, Janos Abonyi: Sequence Mining based Alarm Suppression, IEEE ACCESS 6: pp. 15365-15379.
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL |
2018
from data base, 2021. VIII. 23. |
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
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL |
2018
from data base, 2021. VIII. 23. |
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.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL |
2018
from data base, 2021. VIII. 23. |
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.
type of document: Journal paper/Article
number of independent citations: 14
language: English
URL |
| | Number of independent citations to these publications: | 70 |
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