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 1-15 από 836 αποτελέσματα
1 N. T. Trần, H. G. Matthies, G. E. Stavroulakis and M. Staat, “Direct plastic structural design by chance constrained programming,” in 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems (ECCM 2018), 2018, pp. 3992 – 4003.2022-07-08
2 D. Troullinos, G. Chalkiadakis, D. Manolis, I. Papamichail and M. Papageorgiou, "Lane- free microscopic simulation for connected and automated vehicles," in 24th IEEE International Intelligent Transportation Systems Conference (ITSC 2021), 2021, pp. 3292-3299, doi: 10.1109/ITSC48978.2021.9564637.2022-07-01
3 V. K. Yanumula, P. Typaldos, D. Troullinos, M. Malekzadeh, I. Papamichail and M. Papageorgiou, "Optimal path planning for connected and automated vehicles in lane-free traffic," in 24th IEEE International Intelligent Transportation Systems Conference (ITSC 2021), 2021, pp. 3545-3552, doi: 10.1109/ITSC48978.2021.9564698.2022-07-01
4 I. Karafyllis, D. Theodosis and M. Papageorgiou, "Lyapunov-based two-dimensional cruise control of autonomous vehicles on lane-free roads," in 60th IEEE Conference on Decision and Control (CDC 2021), 2021, pp. 2683-2689, doi: 10.1109/CDC45484.2021.9682975.2022-06-30
5 S. Batsakis, I. Tachmazidis, G. Baryannis, and G. Antoniou, “Semantic artificial neural networks,” in The Semantic Web: ESWC 2020 Satellite Events, vol 12124, Lecture Notes in Computer Science, A. Harth, V. Presutti, R. Troncy, M. Acosta, A. Polleres, J. D. Fernández, J. Xavier Parreira, O. Hartig, K. Hose, M. Cochez, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 39–44, doi: 10.1007/978-3-030-62327-2_7.2022-06-03
6 V. Markantonakis, A. Doko, I. Papamichail, M. Papageorgiou, K. Schrab, M. Neubauer, and R. Protzmann, “Traffic control algorithms for mixed vehicle traffic – A simulation-based investigation,” in 23rd EURO Working Group on Transportation Meeting, EWGT 2020, vol. 52, pp. 356-363, Jan. 2021, doi: 10.1016/j.trpro.2021.01.042.2022-06-02
7 C. H. Skiadas, Y. Dimotikalis and C. Skiadas, “Special issue – Communications in Statistics – Case studies and data analysis: 5th Stochastic Modeling Techniques and Data Analysis International Conference,” Commun. Stat.: Case Stud. Data Anal. Appl., vol. 6, no. 4, pp. 381-382, Oct. 2020, doi: 10.1080/23737484.2020.1850108.2022-06-02
8 P. Manolitzas, E. Grigoroudis, J. Christodoulou, and N. Matsatsinis, “S-MEDUTA: combining balanced scorecard with simulation and MCDA techniques for the evaluation of the strategic performance of an emergency department,” in GeNeDis 2018, Computational Biology and Bioinformatics, vol 1194, Advances in Experimental Medicine and Biology, P. Vlamos, Ed., Cham, Switzerland: Springer Nature, 2020, pp. 1–22, doi: 10.1007/978-3-030-32622-7_1.2022-06-01
9 V. Rusyn, and C. H. Skiadas, “Threshold method for control of chaotic oscillations,” in 12th Chaotic Modeling and Simulation International Conference, Springer Proceedings in Complexity, C. H. Skiadas, Y. Dimotikalis, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 217–229, doi: 10.1007/978-3-030-39515-5_18.2022-05-31
10 V. Rusyn, A. Samila, and C. Skiadas, "Computer modeling and practical realization of chaotic circuit with a light-emitting diode," in Proceedings of SPIE - 14th International Conference on Correlation Optics 2019, vol 11369, O. V. Angelsky, Ed., Bellingham, WA: SPIE, 2020, doi: 10.1117/12.2550813.2022-05-27
11 E. Papachristou, and N. Bilalis, “Data analytics and application challenges in the childrenswear market - a case study in Greece,” in Product Lifecycle Management Enabling Smart X, vol 594, IFIP Advances in Information and Communication Technology, F. Nyffenegger, J. Ríos, L. Rivest, A. Bouras, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 647–658, doi: 10.1007/978-3-030-62807-9_51.2022-05-27
12 E. Rapanaki, I.-D. Psychas, M., Marinaki, and Y. Marinakis, “An Artificial Bee Colony algorithm for the multiobjective energy reduction multi-depot vehicle routing problem,” in Learning and Intelligent Optimization, vol 11968, Lecture Notes in Computer Science, N. Matsatsinis, Y. Marinakis, P. Pardalos, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 208–223, doi: 10.1007/978-3-030-38629-0_17.2022-05-19
13 D. Trachanatzi, M. Rigakis, A. Taxidou, M. Marinaki, Y. Marinakis, and N. Matsatsinis, “A novel solution encoding in the Differential Evolution algorithm for optimizing tourist trip design problems,” in Learning and Intelligent Optimization, vol 11968, Lecture Notes in Computer Science, N. Matsatsinis, Y. Marinakis, P. Pardalos, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 253–267, doi: 10.1007/978-3-030-38629-0_21.2022-05-19
14 K. Zervoudakis, S. Tsafarakis, and P.-P, Sovatzidi, “A new hybrid Firefly – Genetic algorithm for the optimal product line design problem,” in Learning and Intelligent Optimization, vol 11968, Lecture Notes in Computer Science, N. Matsatsinis, Y. Marinakis, P. Pardalos, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 284–297, doi: 10.1007/978-3-030-38629-0_23.2022-05-17
15 E. Tsakirakis, M. Marinaki, and Y. Marinakis, “A hybrid variation Harmony Search algorithm for the Team Orienteering Problem with capacity limitations,” in Learning and Intelligent Optimization, vol 11968, Lecture Notes in Computer Science, N. Matsatsinis, Y. Marinakis, P. Pardalos, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 146–156, doi: 10.1007/978-3-030-38629-0_12.2022-05-17
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