Publications

Iglesias-Escudero, M., Villanueva-Balsera, J., Ortega-Fernandez, F., & Rodriguez-Montequín, V. (2019). Planning and scheduling with uncertainty in the steel sector: A review. Applied Sciences, 9(13), 2692. https://doi.org/10.3390/app9132692

Arias, L. B., Montequín, V. R., Balsera, J. V., & Bayo, A. M. (in press). Methodology for the Integration of Data-Based Models in Production Environments. In Dortmund International Research Conference 2020 Proceedings.

Junquera, A. M. V., Montequín, V. R., Balsera, J. M. V., & González, J. G. (2022). Asynchronous Backtracking variant applied to a rolls replacement process within a wire rod mill. Procedia Computer Science, 196, 159–166. https://doi.org/10.1016/j.procs.2021.12.001

Valdeón Junquera, A. M., Rodríguez Montequín, V., Villanueva Balsera, J. M., & García González, J. (2021). MULTI-AGENT ARCHITECTURE BASED ON AUCTION PROTOCOL FOR A WIRE ROD MILL ROLLS REPLACEMENT SYSTEM. 25th International Congress on Project Management and Engineering, Alcoi, Spain. http://dspace.aeipro.com/xmlui/handle/123456789/3025

Ghorbel, H., Dreyer, J., Abdalla, F., Montequín, V. R., Balogh, Z., Gatial, E., ... & Carrino, S. (2021, September). SOON: Social Network of Machines to Optimize Task Scheduling in Smart Manufacturing. In 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (pp. 1-6). IEEE.https://doi.org/10.1109/PIMRC50174.2021.9569644

Iantovics, L. B. (2021). Black-Box-Based Mathematical Modelling of Machine Intelligence Measuring. Mathematics, 9(6), 681. https://doi.org/10.3390/math9060681

Kumar, R., Budinska, I., Balogh, Z., Gatial, E., & Matejka, T. (2020, November). Discrete event simulation approach for evaluation and estimation of various production parameters. In 2020 IEEE 20th International Symposium on Computational Intelligence and Informatics (CINTI) (pp. 91-98). IEEE. https://doi.org/10.1109/CINTI51262.2020.9305850

Kenyeres, M., & Kenyeres, J. (2021). Data Aggregation in Mobile Wireless Sensor Networks Represented as Stationary Edge-Markovian Evolving Graphs. In Recent Advances in Soft Computing and Cybernetics (pp. 217-228). Springer, Cham. https://doi.org/10.1007/978-3-030-61659-5_18

Kenyeres, M., Kenyeres, J., & Budinská, I. (2021). On Performance Evaluation of Distributed System Size Estimation Executed by Average Consensus Weights. In Recent Advances in Soft Computing and Cybernetics (pp. 15-24). Springer, Cham. https://doi.org/10.1007/978-3-030-61659-5_2

Carrino, S., Guerne, J., Dreyer, J., Ghorbel, H., Schorderet, A., & Montavon, R. (2020). Machining Quality Prediction Using Acoustic Sensors and Machine Learning. Proceedings, 63(1), 31. https://doi.org/10.3390/proceedings2020063031

Junquera, A. M. V., González, J. G., Balsera, J. M. V., & Montequín, V. R. (2020). A Wire Rod Rolling Mill Digital Twin for the Simulation of the Rolls Replacement Process. In Multidisciplinary Digital Publishing Institute Proceedings (Vol. 63, No. 1, p. 13). https://doi.org/10.3390/proceedings2020063013

Gatial, E., Balogh, Z., & Hluchý, L. (2020, July). Concept of Energy Efficient ESP32 Chip for Industrial Wireless Sensor Network. In 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES) (pp. 179-184). IEEE. https://doi.org/10.1109/INES49302.2020.9147189

Vlasa, I., Gligor, A., Dumitru, C. D., & Iantovics, L. B. (2020). Smart Metering Systems Optimization for Non-Technical Losses Reduction and Consumption Recording Operation Improvement in Electricity Sector. Sensors, 20(10), 2947. https://doi.org/10.3390/s20102947

Gligor, A., Vlasa, I., Dumitru, C. D., Moldovan, C. E., & Damian, C. (2020). Power demand forecast for optimization of the distribution costs. Procedia Manufacturing, 46, 384-390. https://doi.org/10.1016/j.promfg.2020.03.056

Iantovics, L. B., Kountchev, R., & Crișan, G. C. (2019). ExtrIntDetect—A New Universal Method for the Identification of Intelligent Cooperative Multiagent Systems with Extreme Intelligence. Symmetry, 11(9), 1123. https://doi.org/10.3390/sym11091123

Iantovics, L. B., Kovács, L., & Rotar, C. (2019). MeasApplInt-a novel intelligence metric for choosing the computing systems able to solve real-life problems with a high intelligence. Applied Intelligence, 49(10), 3491-3511. https://doi.org/10.1007/s10489-019-01440-5

Iantovics, L. B., Rotar, C., & Morar, F. (2019). Survey on establishing the optimal number of factors in exploratory factor analysis applied to data mining. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(2), e1294. https://doi.org/10.1002/widm.1294