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 136-150 out of 5199 results
136 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
137 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
138 Emmanouil Vardalakis, "The role of local government in sustainable tourism development and promotion: the case of the Chania municipality", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 20222022-05-18
139 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
140 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
141 Βασίλειος Γεωργιάδης, "Εφαρμοσμένη τεχνητή νοημοσύνη σε μεγάλου όγκου δεδομένα για χρήση επιλογής προσωπικού σε εταιρεία HR", Μεταπτυχιακή Διατριβή, Σχολή Μηχανικών Παραγωγής και Διοίκησης, Πολυτεχνείο Κρήτης, Στρατιωτική Σχολή Ευελπίδων, Χανιά, Ελλάς, 20222022-05-16
142 E. Rapanaki, I.-D. Psychas, M. Marinaki, N. Matsatsinis, and Y. Marinakis, “A Krill Herd algorithm for the multiobjective energy reduction multi-depot vehicle routing problem,” in Machine Learning, Optimization, and Data Science, vol 12565, Lecture Notes in Computer Science, Cham, Switzerland: Springer Nature, 2020, pp. 434–447, doi: 10.1007/978-3-030-64583-0_39.2022-05-10
143 N. I. Spanoudakis, “Statecharts and agent technology: the past and future,” in Multi-Agent Systems and Agreement Technologies, vol 12520, Lecture Notes in Computer Science, N. Bassiliades, G. Chalkiadakis, D. de Jonge, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 511–528, doi: 10.1007/978-3-030-66412-1_33.2022-05-10
144 Anastasios Antoniou, "Development of a target detection and recognition system using machine learning techniques", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Hellenic Army Academy, Chania, Greece, 20222022-05-10
145 S. N. Leloudas, A. I. Eskantar, G. N. Lygidakis, and I. K. Nikolos, “Low Reynolds airfoil family for small horizontal axis wind turbines based on RG15 airfoil,” in SN Appl. Sci., vol. 2, no. 3, Feb. 2020, doi: 10.1007/s42452-020-2161-1.2022-05-05
146 N. Spanoudakis, K. Kostis, and K. Mania, "Argumentation for all," in Proceedings of the 35th ACM/SIGAPP Symposium on Applied Computing (SAC ’20), Brno, Czech Republic, 2020, pp. 980–982, doi: 10.1145/3341105.3374122.2022-05-05
147 Vaios Chaintoutis, "Customer churn prediction using Machine Learning algorithms ", Diploma Work, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 20222022-05-04
148 S. Zhang, M. Diamantis, Y. Wang, J. Guo, I. Papamichail, M. Papageorgiou, L. Zhang, and J. S. Hu, “Joint queue estimation and max pressure control for signalized urban networks with connected vehicles,” in 2020 Forum Integr. Sustain. Transp. Syst. (FISTS), Delft, The Netherlands, 2020, pp. 211- 217, doi: 10.1109/FISTS46898.2020.9264889.2022-04-29
149 E. Papachristou, A. Chrysopoulos, and N. Bilalis, “Machine learning for clothing manufacture as a mean to respond quicker and better to the demands of clothing brands: a Greek case study,” Int. J. Adv. Manuf. Technol., vol. 115, no. 3, pp. 691– 702, July 2021, doi: 10.1007/s00170-020-06157-1.2022-04-26
150 G. Manthoulis, M. Doumpos, C. Zopounidis, and E. Galariotis, “An ordinal classification framework for bank failure prediction: methodology and empirical evidence for US banks,” Eur. J. Oper. Res., vol. 282, no. 2, pp. 786–801, Apr. 2020, doi: 10.1016/j.ejor.2019.09.040.2022-04-20
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