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Titlebook: Hybrid ArtificialIntelligent Systems, Part II; 5th International Co Emilio Corchado,Manuel Gra?a Romay,Alexandre Manha Conference proceedin

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31#
發(fā)表于 2025-3-26 22:44:45 | 只看該作者
32#
發(fā)表于 2025-3-27 04:54:34 | 只看該作者
J. M. Luna,J. R. Romero,S. Venturaote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used
33#
發(fā)表于 2025-3-27 05:30:50 | 只看該作者
34#
發(fā)表于 2025-3-27 11:24:26 | 只看該作者
Luciano Sánchez,Inés Couso,José Oterole urban development and transportation.Teaches readers how .This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges.??It covers the technologies, potential, and possible and impact
35#
發(fā)表于 2025-3-27 16:57:44 | 只看該作者
Vivian F. López,Ramiro Aguilar,Luis Alonso,María N. Moreno,Juan M. Corchadodecisions. Directly, or with the right analytical methods, these data may reveal private information such as preferences and choices, as well as bargaining positions. Therefore, these data may be both personal or of strategic importance to companies, which may distort the value of Big Data. Conseque
36#
發(fā)表于 2025-3-27 19:14:54 | 只看該作者
37#
發(fā)表于 2025-3-28 00:12:33 | 只看該作者
Juan F. De Paz,Sara Rodríguez,Ana Gil,Juan M. Corchado,Pastora Vegaperational decision-making. In this chapter, we present basic concepts in real-time analytics, their importance in today’s organizations, and their applicability to the bioeconomy domains investigated in the DataBio project. We begin by introducing key terminology for event processing, and motivatio
38#
發(fā)表于 2025-3-28 05:27:30 | 只看該作者
39#
發(fā)表于 2025-3-28 08:20:23 | 只看該作者
40#
發(fā)表于 2025-3-28 12:37:47 | 只看該作者
Ricardo S. Alonso,Juan F. de Paz,óscar García,óscar Gil,Angélica Gonzálezernatives to solve the problem: secure multi-party computation (MPC), trusted execution environments (TEE) and multi-key fully homomorphic encryption (MKFHE). We compare these privacy-enhancing technologies from deployment and performance point of view and explain how we selected technology and mach
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