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Titlebook: Internet of Things, Smart Spaces, and Next Generation Networks and Systems; 17th International C Olga Galinina,Sergey Andreev,Yevgeni Kouch

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樓主: Systole
31#
發(fā)表于 2025-3-26 23:29:38 | 只看該作者
research, including the examples discussed in the last chapter. Putting these lessons into practice is, however, no simple matter: in some ways the possibility of effectiveness now poses an even greater challenge to professional thinking and skills, because the attempt to get it right may question p
32#
發(fā)表于 2025-3-27 02:06:05 | 只看該作者
33#
發(fā)表于 2025-3-27 06:47:20 | 只看該作者
34#
發(fā)表于 2025-3-27 12:42:37 | 只看該作者
Developing of Emerging Internet Applications for Home Healthcareerature and electrophotonic imaging (EIP) sensors is described. EPI instrument based on the stimulation of photon and electron emissions from the surface of the object is used. The paper describes the interaction of the system components, the methods and hardware implementation of data transfer, inf
35#
發(fā)表于 2025-3-27 16:03:22 | 只看該作者
Digital Business Model and SMART Economy Sectoral Development Trajectories Substantiationecessity of precedence development in sectors that create a base for telecommunications industry has been substantiated. Original schema of substantiation of sectoral development trajectories in SMART economy based on identification of gaps between current and required levels of sectoral development
36#
發(fā)表于 2025-3-27 21:10:40 | 只看該作者
37#
發(fā)表于 2025-3-27 22:06:56 | 只看該作者
Battery Monitoring Within Industry 4.0 Landscape: Solution as a Service (SaaS) for Industrial Power ustainable evolution of human existence. The industrial value creation must be geared towards sustainability. In order to overcome this challenge, tightly coupling the production and its axiomatization processes is required in the paradigm of Industry 4.0. This technology bridges together a vast amo
38#
發(fā)表于 2025-3-28 03:39:26 | 只看該作者
39#
發(fā)表于 2025-3-28 09:46:57 | 只看該作者
40#
發(fā)表于 2025-3-28 12:23:53 | 只看該作者
DisCPAQ: Distributed Context Acquisition and?Reasoning for Personalized Indoor Air Quality Monitorin proved to be a significant comfort and health factor for people. This paper proposes a smart context-aware system for indoor air quality monitoring and prediction called DisCPAQ. The system uses data streams from air quality measurement sensors to provide real-time personalised air quality service
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