Abstract
As human societal organization is being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence-based technologies is growing continuously and rapidly and expands in itself while its results are applied to an ever-increasing number of other disciplines. The book at hand aims at exposing the reader to some of the most significant recent advances in Artificial Intelligence-based technologies, while at the same time honouring one of the most significant researchers in Applied Artificial Intelligence, namely Professor Nikolaos G. Bourbakis. As such, the book is directed towards professors, researchers, scientists, engineers and students in all computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides its readers to probe further into the application areas of interest to them.
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References
J. Toonders, Data is the new oil of the digital economy, Wired, https://www.wired.com/insights/2014/07/data-new-oil-digital-economy/
K. Schwabd, The fourth industrial revolution - what it means and how to respond, Foreign Affairs (2015), https://www.foreignaffairs.com/articles/2015-12-12/fourth-industrial-revolution
From Industry 4.0 to Society 5.0: the big societal transformation plan of Japan, https://www.i-scoop.eu/industry-4-0/society-5-0/
Society 5.0, https://www8.cao.go.jp/cstp/english/society5_0/index.html
G.A. Tsihrintzis, D.N. Sotiropoulos, L.C. Jain (eds.), Machine Learning Paradigms – Advances in Data Analytics, vol. 149 in Intelligent Systems Reference Library Book Series (Springer, 2018)
G.A. Tsihrintzis, M. Virvou, E. Sakkopoulos, L.C. Jain (eds.), Machine Learning Paradigms - Applications of Learning and Analytics in Intelligent Systems, vol. 1 in Learning and Analytics in Intelligent Systems Book Series (Springer, 2019)
M. Virvou, E. Alepis, G.A. Tsihrintzis, L.C. Jain, Machine Learning Paradigms – Advances in Learning Analytics, vol. 158 in Intelligent Systems Reference Library Book Series (Springer, 2020)
H. Jiang, C. Cai, X. Ma, Y. Yang, J. Liu, Smart home based on WiFi sensing: a survey. IEEE Access 6, 13317–13325 (2018)
Du. Rong, P. Santi, M. Xiao, A.V. Vasilakos, C. Fischione, The sensable city: a survey on the deployment and management for smart city monitoring. IEEE Commun. Surv. Tutorials 21(2), 1533–1560 (2019)
B.P.L. Lau, S.H. Marakkalage, Y. Zhou, N.U. Hassan, C. Yuen, M. Zhang, U.X. Tan, A survey of data fusion in smart city applications. Inf. Fusion 52, 357–374 (2019)
X. Liu, J. Cao, Y. Yang, S. Jiang, CPS-based smart warehouse for industry 4.0: a survey of the underlying technologies. Computers 7(1), 13 (2018)
M.M. Dhanvijay, S.C. Patil, Internet of Things: a survey of enabling technologies in healthcare and its applications. Comput. Networks 153, 113–131 (2019)
Q. Cai, H. Wang, Z. Li, X. Liu, A survey on multimodal data-driven smart healthcare systems: approaches and applications. IEEE Access 7, 133583–133599 (2019)
M. Khawla, M. Tomader, A survey on the security of smart homes: issues and solutions, in ICSDE 2018, pp. 81–87
D. Eckhoff, I. Wagner, Privacy in the smart city - applications, technologies, challenges, and solutions. IEEE Commun. Surv. Tutorials 20(1), 489–516 (2018)
A. Algarni, A survey and classification of security and privacy research in smart healthcare systems. IEEE Access 7, 101879–101894 (2019)
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Virvou, M., Tsihrintzis, G., Tsoukalas, L., Jain, L. (2022). Introduction to Advances in Artificial Intelligence-Based Technologies. In: Virvou, M., Tsihrintzis, G.A., Tsoukalas, L.H., Jain, L.C. (eds) Advances in Artificial Intelligence-based Technologies. Learning and Analytics in Intelligent Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-80571-5_1
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DOI: https://doi.org/10.1007/978-3-030-80571-5_1
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