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Titlebook: Intelligent Internet of Things; From Device to Fog a Farshad Firouzi,Krishnendu Chakrabarty,Sani Nassif Book 2020 Springer Nature Switzerla

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發(fā)表于 2025-3-27 00:03:04 | 只看該作者
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發(fā)表于 2025-3-27 03:05:18 | 只看該作者
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發(fā)表于 2025-3-27 11:06:41 | 只看該作者
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發(fā)表于 2025-3-27 13:46:11 | 只看該作者
The Smart “Things” in IoTe, energy consumption, and security. Every new generation of IoT devices harnesses more intelligence to enable novel applications in IoT systems. As a result, IoT designers have defined an architectural design platform to build smart IoT things. In this chapter, we first provide a definition of smar
36#
發(fā)表于 2025-3-27 19:54:05 | 只看該作者
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發(fā)表于 2025-3-28 01:08:42 | 只看該作者
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發(fā)表于 2025-3-28 05:07:43 | 只看該作者
Machine Learning for IoTtems with the ability to "learn" from data, rather than following pre-programmed rules. Over the past few years, machine learning has become one of the workhorses of information technology and has become enmeshed in, albeit usually hidden, every aspect of daily lives. From image recognition to voice
39#
發(fā)表于 2025-3-28 08:10:40 | 只看該作者
Big Dataove decision making. Although the Internet of Things (IoT) and big data have been evolved separately, they are closely intertwined. Indeed, the role of big data in IoT is tremendous as IoT is projected to include billions of connected devices, producing a massive amounts of data within a few years.
40#
發(fā)表于 2025-3-28 11:12:40 | 只看該作者
Intelligent and Connected Cyber-Physical Systems: A Perspective from Connected Autonomous Vehiclesolving information processing and networking closely interact with the physical processes. Conventionally, there is a separate design flow of CPS. For instance, control algorithms managing the physical dynamics are designed using model-based approaches, without considering details of the cyber imple
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