Books and Book Chapters

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	1-15 out of 20 results
1	N. Doukas, P. Stavroulakis, V. Kharchenko, N. Bardis, D. Irakleous, O. Ivanchenko and O. Morozova, “Survivability using Artificial Intelligence assisted cyber risk warning,” in Artificial Intelligence for Cybersecurity, Advances in Information Security, Cham, Switzerland: Springer, 2022, pp. 285–308, doi: 10.1007/978-3-030-97087-1_12.	2024-11-14
2	A. Podaras, K. Moirogiorgou, and M. Zervakis, “Regression-based recovery time predictions in business continuity management: a public college case study,” in Research Anthology on Business Continuity and Navigating Times of Crisis, IGI Global, 2022, pp. 240-267, doi: 10.4018/978-1-6684-4503-7.ch013.	2024-10-31
3	G. S. Stavrakakis and A. Pouliezos, “2.10 - Electrical parts, control systems and power electronics of wind turbines,” in Comprehensive Renewable Energy, Elsevier, 2022, vol. 2, pp. 279-352, doi: 10.1016/B978-0-12-819727-1.00170-9.	2024-10-30
4	O. Giannakopoulou, P. Toumpaniaris, I. Kouris, K. Moirogiorgou, N. Karanasiou, V. Aisopou, G. Matsopoulos, A. Chandrinou, N. Anousakis-Vlachochristou, F. Psarros, P. Syrigas, V. Karalidou, N. Costaridis, M. Zervakis, and D. Koutsouris, "A platform for health record management of the conscripts in the Hellenic Navy," in Public Health and Informatics, vol. 281, Studies in Health Technology and Informatics, J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, M. Crişan-Vida, E. Zoulias, O. S. Chirila, Eds., Amsterdam, The Netherlands: IOS Press, 2021, pp. 362 - 366, doi: 10.3233/SHTI210181.	2023-07-18
5	J. Tangpanitanon and D. G. Angelakis, "Many-body physics and quantum simulations with strongly interacting photons," in Nanoscale Quantum Optics, vol 204, Proceedings of the International School of Physics "Enrico Fermi", M. Agio, I. D’Amico, R. Zia, C. Toninelli, Eds., Amsterdam, The Netherlands: IOS Press, 2020, pp. 169 - 215, doi: 10.3254/ENFI200024.	2022-08-01
6	D. T. Hristopoulos, “Random fields for spatial data modeling: a primer for scientists and engineers,” Advances in Geographic Information Science, Dordrecht, The Netherlands: Springer Nature, 2020, doi: 10.1007/978-94-024-1918-4.	2022-07-27
7	P. Skrimponis, E. Pissadakis, N. Alachiotis, and D. Pnevmatikatos, “Accelerating binarized convolutional neural networks with dynamic partial reconfiguration on disaggregated FPGAs,” in Parallel Computing: Technology Trends, vol 36, Advances in Parallel Computing, I. Foster, G. R. Joubert, L. Kučera, W. E. Nagel, F. Peters, Eds., Amsterdam, The Netherlands: IOS Press, 2020, pp. 691 - 700, doi: 10.3233/APC200099.	2022-07-21
8	E.G.M. Petrakis, and G. Myrizakis, “iHome: secure smart home management in the cloud and the fog,” in Advances in Edge Computing: Massive Parallel Processing and Applications, vol 35, Advances in Parallel Computing, F. Xhafa, A. K. Sangaiah, Eds., Amsterdam, The Netherlands: IOS Press, 2020, pp. 237 - 263, doi: 10.3233/APC200010.	2022-07-15
9	S. Suman, M.R. North, G. P. Petropoulos, P.K. Srivastava, D.T. Hristopulos, D. S. Fuzzo, and T. N. Carlson, "Modelling key parameters characterising land surface using the SimSphere SVAT model," in Agricultural Water Management : Theories and Practices, P.K. Srivastava, M. Gupta, G. Tsakiris, N.W. Quinn, Eds. Cambridge, Massachusetts: Academic Press, 2020. pp. 409-442. doi: 10.1016/B978-0-12-812362-1.00020-5	2020-12-28
10	A. Chliaoutakis and G. Chalkiadakis, "AncientS-ABM: A Novel Tool for Simulating Ancient Societies," in Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection. PAAMS 2019. vol 11523, Lecture Notes in Computer Science, Y. Demazeau, E. Matson, J. Corchado, F. De la Prieta, Eds., Cham, Switzerland: Springer Nature, 2019, pp. 237-241. doi: 10.1007/978-3-030-24209-1_21	2020-11-20
11	A.D. Ioannou, P. Malakonakis, K. Georgopoulos, I. Papaefstathiou, A. Dollas and I. Mavroidis, "Optimized FPGA implementation of a compute-intensive oil reservoir simulation algorithm," in Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2019, vol. 11733, Lecture Notes in Computer Science, D. Pnevmatikatos, M. Pelcat, M. Jung, Eds., Cham, Switzerland: Springer Nature, 2019, pp. 442-454. doi: 10.1007/978-3-030-27562-4_32	2020-11-03
12	K. Xenou, G. Chalkiadakis and S. Afantenos, "Deep reinforcement learning in strategic board game environments," in Multi-Agent Systems. EUMAS 2018, vol. 11450, Lecture Notes in Computer Science, M. Slavkovik, Ed., Cham, Switzerland: Springer Nature, 2019, pp. 233-248. doi: 10.1007/978-3-030-14174-5_16	2020-10-29
13	S. Sotiriadis, A. Lehmets, E.G.M. Petrakis and N. Bessis, "Testing cloud services using the TestCast tool," in Information Technology - New Generations, vol. 558, Advances in Intelligent Systems and Computing, S. Latifi, Ed., Cham: Springer Verlag, 2018, pp. 819-824. doi: 10.1007/978-3-319-54978-1_101	2019-11-13
14	S. Khan, K. Papadimitriou, G. Buttazzo and K. Kalaitzakis, "A reconfigurable PID controller," in Applied Reconfigurable Computing Architectures, Tools, and Applications, vol. 10824, Lecture Notes in Computer Science, N. Voros, M. Huebner, G. Keramidas, D. Goehringer, C. Antonopoulos, P. Diniz, Eds., Cham: Springer Verlag, 2018, pp. 392-403. doi: 10.1007/978-3-319-78890-6_32	2019-10-22
15	G. Chalkiadakis, C. Akasiadis, N. Savvakis, T. Tsoutsos, T. Hoppe and F. Coenen "Providing a scientific arm to renewable energy cooperatives," in The Role of Exergy in Energy and the Environment, vol. 262, Green Energy and Technology, Cham: Springer-Verlag, 2018, pp. 717-731. doi: 10.1007/978-3-319-89845-2_51	2019-10-22
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