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Titlebook: Emergence of Cyber Physical System and IoT in Smart Automation and Robotics; Computer Engineering Krishna Kant Singh,Anand Nayyar,Mohamed A

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樓主: Monroe
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發(fā)表于 2025-3-23 11:26:46 | 只看該作者
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發(fā)表于 2025-3-23 16:13:12 | 只看該作者
,Robust and Secure Routing Protocols for MANET-Based Internet of Things Systems—A Survey, coping with an enormous amount of data transferred by different resource-constrained IoT network devices. For diverse applications, IoT can be seen as a network of devices comprising hardware, software, sensors, actuators, and connectivity allowing the networked system to link, communicate, and sha
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發(fā)表于 2025-3-23 20:11:58 | 只看該作者
IoT for Smart Automation and Robot,es are capable of communicating over the Internet by using various protocols designed for wireless networks. In recent years, IoT devices have flooded the market, and their services to the society and the world infrastructure are becoming vital. The growing demand for automation has accelerated the
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發(fā)表于 2025-3-24 01:12:46 | 只看該作者
Application of Internet of Thing and Cyber Physical System in Industry 4.0 Smart Manufacturing,facturing, fog computing, big data analytics, among others. Data has become more ubiquitous with the increase in the development of mobile and wireless networking technologies. Also, due to high expectations for productivity improvement, efficiency, and enabling innovative service through collaborat
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發(fā)表于 2025-3-24 03:02:40 | 只看該作者
Book 2021of steering research further towards cyber physical systems design and development and implementation across various domains. Additionally, this book can be used as a secondary reference, or rather one-stop guide, by professionals for real-life implementation of cyber physical systems..The book high
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發(fā)表于 2025-3-24 08:14:51 | 只看該作者
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發(fā)表于 2025-3-24 11:17:00 | 只看該作者
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發(fā)表于 2025-3-24 16:53:31 | 只看該作者
https://doi.org/10.1007/978-3-540-89556-5ng a hybrid Convolutional Neural Network (CNN?+?Recurrent Neural Network (RNN)) architecture. The results we obtain are encouraging as they outperform standard temporal CNNs and are at par with those using spatial information along with motion cues. Further exploring multistream models, we conceive
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發(fā)表于 2025-3-24 22:48:14 | 只看該作者
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發(fā)表于 2025-3-25 01:39:16 | 只看該作者
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