• 2282 Citations
  • 24 h-Index
19972019
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Research Output 1997 2019

2019

A Review of Semantic Sensor Technologies in Internet of Things Architectures

Honti, G. M. & Abonyi, J., jan. 1 2019, In : Complexity. 2019, 6473160.

Research output: Review article

Open Access
Semantics
Interoperability
Ontology
Sensors
Metadata

Data-driven multilayer complex networks of sustainable development goals

Sebestyén, V., Bulla, M., Rédey, A. & Abonyi, J., aug. 1 2019, In : Data in Brief. 25, 104049.

Research output: Article

Open Access
strategic environmental assessment
sustainable development
World Bank
sustainability
time series
Open Access
Heat Exchanger
Observability
Structural Analysis
Controllability
Structural analysis

Frequent pattern mining in multidimensional organizational networks

Gadár, L. & Abonyi, J., dec. 1 2019, In : Scientific reports. 9, 1, 3322.

Research output: Article

Open Access
Motivation
Communication
Surveys and Questionnaires
Open Access
Molecular structure
Refrigerants
Sorting
Mathematical operators
Genetic algorithms
Learning algorithms
Learning systems
Deep learning
Long short-term memory
1 Citation (Scopus)
strategic environmental assessment
Sustainable development
sustainable development
Strategic planning
World Bank

Operating regime model based multi-objective sensor placement for data reconciliation

Dorgo, G., Haragovics, M. & Abonyi, J., jan. 1 2019, Computer Aided Chemical Engineering. Elsevier B.V., p. 1027-1032 6 p. (Computer Aided Chemical Engineering; vol. 46).

Research output: Chapter

Sensors
Observability
Multiobjective optimization
Fault detection
Sorting
1 Citation (Scopus)

P-graph-based multi-objective risk analysis and redundancy allocation in safety-critical energy systems

Süle, Z., Baumgartner, J., Dörgő, G. & Abonyi, J., júl. 15 2019, In : Energy. 179, p. 989-1003 15 p.

Research output: Article

Risk analysis
Redundancy
Polynomials
Retrofitting
Reforming reactions
2018
1 Citation (Scopus)
Sustainable development
Dynamic models
Monitoring
1 Citation (Scopus)

Design-oriented structural controllability and observability analysis of Heat Exchanger Networks

Leitold, D., Vathy-Fogarassy, A. & Abonyi, J., jan. 1 2018, In : Chemical Engineering Transactions. 70, p. 595-600 6 p.

Research output: Article

Observability
Controllability
Heat exchangers
Actuators
Sensors
2 Citations (Scopus)
Integrated
Production line
Working time
Simulated annealing
Dynamic programming
6 Citations (Scopus)

Enabling technologies for operator 4.0: A survey

Ruppert, T., Jaskó, S., Holczinger, T. & Abonyi, J., szept. 13 2018, In : Applied Sciences (Switzerland). 8, 9, 1650.

Research output: Article

operators
Smart sensors
Mathematical operators
Actuators
sensors
causality
Sustainable development
sustainable development
sustainability
United Nations
1 Citation (Scopus)

Graph configuration model based evaluation of the education-occupation match

Gadar, L. & Abonyi, J., márc. 1 2018, In : PLoS One. 13, 3, e0192427.

Research output: Article

higher education
Occupations
education
Education
health insurance
1 Citation (Scopus)

Hierarchical frequent sequence mining algorithm for the analysis of alarm cascades in chemical processes

Dorgo, G., Varga, K. & Abonyi, J., aug. 31 2018, (Accepted/In press) In : IEEE Access.

Research output: Article

Alarm systems
Failure analysis
3 Citations (Scopus)

Industrial internet of things based cycle time control of assembly lines

Ruppert, T. & Abonyi, J., márc. 26 2018, 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-4 4 p.

Research output: Conference contribution

Industry
Productivity
Sensors
Internet of things
Indoor positioning systems
2 Citations (Scopus)

Learning operation strategies from alarm management systems by temporal pattern mining and deep learning

Dorgo, G., Pigler, P., Haragovics, M. & Abonyi, J., jan. 1 2018, Computer Aided Chemical Engineering. Elsevier B.V., p. 1003-1008 6 p. (Computer Aided Chemical Engineering; vol. 43).

Research output: Chapter

Recurrent neural networks
Learning algorithms
Simulators
Engineers
Long short-term memory

Multilayer network-based production flow analysis

Ruppert, T., Honti, G. & Abonyi, J., jan. 1 2018, In : Complexity. 2018, 6203754.

Research output: Article

Open Access
Multilayers
Machine components
Wire
3 Citations (Scopus)
Fuzzy clustering
Observability
simulated annealing
Simulated annealing
Cluster Analysis
2 Citations (Scopus)

Reliability - Redundancy allocation in process graphs

Süle, Z., Baumgartner, J. & Abonyi, J., jan. 1 2018, In : Chemical Engineering Transactions. 70, p. 991-996 6 p.

Research output: Article

Redundancy
Cost functions
Polynomials
Integer programming
Reforming reactions
1 Citation (Scopus)

RFID-based task time analysis for shop floor optimization

Leitold, D., Vathy-Fogarassy, A., Varga, K. & Abonyi, J., márc. 26 2018, 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-6 6 p.

Research output: Conference contribution

Radio frequency identification (RFID)
Scheduling
Bins
Stochastic models
Probability density function
1 Citation (Scopus)
fault detection
Fault detection
Software
computer programs
Monitoring
1 Citation (Scopus)

Test-sequence optimisation by survival analysis

Baumgartner, J., Süle, Z., Bertók, B. & Abonyi, J., jan. 1 2018, (Accepted/In press) In : Central European Journal of Operations Research.

Research output: Article

Testing
Survival analysis
Costs
Integer
Nonlinear programming
Modularity
Attractiveness
Ownership
Node
Geographic regions
1 Citation (Scopus)

Towards operator 4.0, increasing production efficiency and reducing operator workload by process mining of alarm data

Dörgo, G., Varga, K., Haragovics, M., Szabó, T. & Abonyi, J., jan. 1 2018, In : Chemical Engineering Transactions. 70, p. 829-834 6 p.

Research output: Article

Association rules
Decision support systems
Mathematical operators
Visualization
4 Citations (Scopus)
Fault Isolation
Recurrent neural networks
Recurrent Neural Networks
Vector spaces
Principal component analysis
2017
15 Citations (Scopus)

Controllability and observability in complex networks – the effect of connection types

Leitold, D., Vathy-Fogarassy, Á. & Abonyi, J., jan. 1 2017, In : Scientific Reports. 7, 1, 151.

Research output: Article

Observability
Complex networks
Controllability
Topology
Dynamical systems
5 Citations (Scopus)

Multi-temporal sequential pattern mining based improvement of alarm management systems

Karoly, R. & Abonyi, J., febr. 6 2017, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3870-3875 6 p. 7844838

Research output: Conference contribution

Sequential Patterns
Mining
Process control
Chemical reactions
Accidents
2016
5 Citations (Scopus)
Geodesic Distance
High-dimensional Data
Clustering
Graph in graph theory
Transitive Closure
6 Citations (Scopus)

Multiobjective optimization for efficient energy utilization in batch biodiesel production

Tóth, L. R., Torgyik, T., Nagy, L. & Abonyi, J., jan. 1 2016, In : Clean Technologies and Environmental Policy. 18, 1, p. 95-104 10 p.

Research output: Article

Biofuels
Biodiesel
Multiobjective optimization
Energy utilization
energy
1 Citation (Scopus)
Artificial intelligence
intelligence
monitoring
Monitoring
gas industry
2015

Interpretability of computational intelligence-based regression models

Kenesei, T. & Abonyi, J., jan. 1 2015, SpringerBriefs in Computer Science. 9783319219417 ed. Springer, p. 1-82 82 p. (SpringerBriefs in Computer Science; no. 9783319219417).

Research output: Chapter

Artificial intelligence

Interpretability of hinging hyperplanes

Kenesei, T. & Abonyi, J., jan. 1 2015, SpringerBriefs in Computer Science. 9783319219417 ed. Springer, p. 9-32 24 p. (SpringerBriefs in Computer Science; no. 9783319219417).

Research output: Chapter

Integer programming

Interpretability of neural networks

Kenesei, T. & Abonyi, J., jan. 1 2015, SpringerBriefs in Computer Science. 9783319219417 ed. Springer, p. 33-48 16 p. (SpringerBriefs in Computer Science; no. 9783319219417).

Research output: Chapter

Neural networks
Fuzzy rules
Visualization

Interpretability of support vector machines

Kenesei, T. & Abonyi, J., jan. 1 2015, SpringerBriefs in Computer Science. 9783319219417 ed. Springer, p. 49-60 12 p. (SpringerBriefs in Computer Science; no. 9783319219417).

Research output: Chapter

Support vector machines

Introduction

Kenesei, T. & Abonyi, J., jan. 1 2015, SpringerBriefs in Computer Science. 9783319219417 ed. Springer, p. 1-8 8 p. (SpringerBriefs in Computer Science; no. 9783319219417).

Research output: Chapter

Artificial intelligence
Neural networks
6 Citations (Scopus)

Minimization of off-grade production in multi-site multi-product plants by solving multiple traveling salesman problem

Király, A., Christidou, M., Chován, T., Karlopoulos, E. & Abonyi, J., jan. 7 2015, (Accepted/In press) In : Journal of Cleaner Production.

Research output: Article

plant product
Traveling salesman problem
Scheduling
Genetic algorithms
genetic algorithm
3 Citations (Scopus)
Time series
Expert systems
Catalyst deactivation
Kinetic parameters
Simulators
Monitoring
Reaction kinetics
5 Citations (Scopus)

PCA based data reconciliation in soft sensor development - Application for melt flow index estimation

Farsang, B., Balogh, I., Németh, S., Székvölgyi, Z. & Abonyi, J., 2015, Chemical Engineering Transactions. Italian Association of Chemical Engineering - AIDIC, Vol. 43. p. 1555-1560 6 p. (Chemical Engineering Transactions; vol. 43).

Research output: Chapter

Process monitoring
Sensors
Statistical methods
Polypropylenes
Fault detection

Preface

Kenesei, T. & Abonyi, J., jan. 1 2015, In : SpringerBriefs in Computer Science. 9783319219417, p. v-vi

Research output: Editorial

11 Citations (Scopus)
Application programming interfaces (API)
Mechanics
Traveling salesman problem
Warehouses
Combinatorial optimization

Summary

Kenesei, T. & Abonyi, J., jan. 1 2015, SpringerBriefs in Computer Science. 9783319219417 ed. Springer, p. 61-63 3 p. (SpringerBriefs in Computer Science; no. 9783319219417).

Research output: Chapter

Identification (control systems)
Model structures
Data structures
Visualization
Neural networks
2014
4 Citations (Scopus)
Gene expression
MATLAB
Research Personnel
Gene Expression
gene expression
1 Citation (Scopus)

Data-driven development and maintenance of soft-sensors

Abonyi, J., Farsang, B. & Kulcsar, T., 2014, SAMI 2014 - IEEE 12th International Symposium on Applied Machine Intelligence and Informatics, Proceedings. IEEE Computer Society, p. 239-244 6 p. 6822414

Research output: Conference contribution

Process control
Sensors
Fault detection
Quality control
Control systems
2 Citations (Scopus)

Energy monitoring of process systems: Time-series segmentation-based targeting models

Abonyi, J., Kulcsar, T., Balaton, M. & Nagy, L., okt. 1 2014, In : Clean Technologies and Environmental Policy. 16, 7, p. 1245-1253 9 p.

Research output: Article

segmentation
targeting
Time series
time series
Monitoring

Feature selection algorithms for model development and reason analysis in energy monitoring and targeting

Kulcsar, T., Abonyi, J., Balaton, M. & Nagy, L., 2014, 21st International Congress of Chemical and Process Engineering, CHISA 2014 and 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2014. Czech Society of Chemical Engineering, Vol. 4. p. 2122 1 p.

Research output: Conference contribution

Feature extraction
Monitoring
3 Citations (Scopus)

Feature selection based root cause analysis for energy monitoring and targeting

Kulcsar, T., Balaton, M., Nagy, L. & Abonyi, J., 2014, In : Chemical Engineering Transactions. 39, Special Issue, p. 709-714 6 p.

Research output: Article

Feature extraction
Monitoring
Energy efficiency
Oils
Energy utilization

Fuzzy c-medoid graph clustering

Király, A., Vathy-Fogarassy, Á. & Abonyi, J., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Springer Verlag, Vol. 8468 LNAI. p. 738-748 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8468 LNAI, no. PART 2).

Research output: Conference contribution

Graph Clustering
Cluster Validity Index
Dijkstra Algorithm
Geodesic Distance
Centrality