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Last Submissions

 1-15 out of 130 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 Y. Dimotikalis and C. H. Skiadas, “Reaction to Covid-19 pandemic: an evaluation of pandemic management around the world,” in Quantitative Methods in Demography: Methods and Related Applications in the Covid-19 Era, The Springer Series on Demographic Methods and Population Analysis, Cham, Switzerland: Springer, 2022, pp. 3–14, doi: 10.1007/978-3-030-93005-9_1.2024-11-14
3 S. Greco, V. Mousseau, J. Stefanowski and C. Zopounidis, “Roman Słowiński and his research program: intelligent decision support systems between Operations Research and Artificial Intelligence,” in Intelligent Decision Support Systems : Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Słowiński, Multiple Criteria Decision Making, Cham, Switzerland: Springer, 2022, pp. 1–27, doi: 10.1007/978-3-030-96318-7_1.2024-11-14
4 C. H. Skiadas, C. Skiadas and K. N. Zafeiris, “How to estimate of the Healthy Life Expectancy (HLE) in the far past: Switzerland (1876–2016) and forecasts to 2060 with comparisons with HALE,” in Quantitative Methods in Demography: Methods and Related Applications in the Covid-19 Era, The Springer Series on Demographic Methods and Population Analysis, Cham, Switzerland: Springer, 2022, pp. 91–95, doi: 10.1007/978-3-030-93005-9_7.2024-11-14
5 K. N. Zafeiris and C. Skiadas, “Global health and longevity: an analysis of post-World War II data,” in Quantitative Methods in Demography: Methods and Related Applications in the Covid-19 Era, The Springer Series on Demographic Methods and Population Analysis, Cham, Switzerland: Springer, 2022, pp. 97–141, doi: 10.1007/978-3-030-93005-9_8.2024-11-12
6 M. Doumpos, E. Grigoroudis, N. F. Matsatsinis and C. Zopounidis, “Preference disaggregation analysis: an overview of methodological advances and applications,” in Intelligent Decision Support Systems : Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Słowiński, Multiple Criteria Decision Making, Cham, Switzerland: Springer, 2022, pp. 73–100, doi: 10.1007/978-3-030-96318-7_5.2024-11-12
7 A. Polydoros, C. Cartalis, M. Santamouris, and D. Kolokotsa, “Use of landscape metrics for the mitigation of the surface urban heat island effect in Mediterranean cities,” in Global Urban Heat Island Mitigation, Elsevier, 2022, pp. 95-108, doi: 10.1016/B978-0-323-85539-6.00015-9.2024-11-12
8 D. Kolokotsa, M. Santamouris, and G. Y. Yun, “3.19 - Passive solar architecture,” in Comprehensive Renewable Energy, Elsevier, 2022, vol. 3, pp. 725-741, doi: 10.1016/B978-0-12-819727-1.00094-7.2024-11-12
9 N. Kampelis and D. Kolokotsa, “Smart Zero‐energy buildings and communities for smart grids,” Engineering, Energy and Architecture Set, Wiley, 2022, vol. 9, pp. 1-308, doi: 10.1002/9781119902201.2024-11-11
10 D. Kolokotsa, N. Kampelis, A. Mavrigiannaki, M. Gentilozzi, F. Paredes, F. M. Montagnino, and L. Venezia, “Integration of energy storage in smart communities and smart grids,” in Smart Zero‐energy Buildings and Communities for Smart Grids, Engineering, Energy and Architecture Set, Wiley, 2022, vol. 9, pp. 221-262, doi: 10.1002/9781119902201.ch8.2024-11-11
11 D. Kolokotsa, “Indoor environmental quality and energy consumption assessment and ANN predictions for an integrated internet-based energy management system towards a Zero-energy building,” in Smart Zero‐energy Buildings and Communities for Smart Grids, Engineering, Energy and Architecture Set, Wiley, 2022, vol. 9, pp. 115-150, doi: 10.1002/9781119902201.ch5.2024-11-11
12 N. Kampelis, K. Gobakis, V. Vagias, D. Kolokotsa, L. Standardi, D. Isidori, C. Cristalli, F. M. Montagnino, F. Paredes, P. Muratore, L. Venezia, M. Kyprianou Dracou, A. Montenon, A. Pyrgou, T. Karlessi, and M. Santamouris “Data analysis and energy modeling in smart and Zero-energy buildings and communities,” in Smart Zero‐energy Buildings and Communities for Smart Grids, Engineering, Energy and Architecture Set, Wiley, 2022, vol. 9, pp. 55-101, doi: 10.1002/9781119902201.ch3.2024-11-11
13 D. Kolokotsa, G. Pignatta, and G. Ulpiani, “Nearly Zero-energy and positive-energy buildings: status and trends,” in Technologies for Integrated Energy Systems and Networks, Wiley, 2022, pp. 239-273, doi: 10.1002/9783527833634.ch10.2024-11-05
14 N. Chalkiadakis, A. Stubos, E. Stamatakis, E. Zoulias, and T. Tsoutsos, “A review on hydrogen compression methods for hydrogen refuelling stations,” in Hydrogen Electrical Vehicles, Wiley, 2023, pp. 47-73, doi: 10.1002/9781394167555.ch3.2024-11-01
15 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
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