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Titlebook: Internet of Things: Novel Advances and Envisioned Applications; D. P. Acharjya,M. Kalaiselvi Geetha Book 2017 Springer International Publi

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樓主: KEN
41#
發(fā)表于 2025-3-28 17:23:31 | 只看該作者
42#
發(fā)表于 2025-3-28 21:59:38 | 只看該作者
J. Arunnehru,M. Kalaiselvi Geethaplorative Forschung wird neben der Literatursichtung und der Nutzung von Sekund?rquellen der Einsatz der Expertenbefragung angesehen, um Antworten auf die noch offenen Fragen zu erhalten. Als Befragungsmethode wird dabei das unstrukturierte pers?nliche Interview empfohlen, weil so die Auskunftsperso
43#
發(fā)表于 2025-3-28 23:20:56 | 只看該作者
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發(fā)表于 2025-3-29 06:29:20 | 只看該作者
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發(fā)表于 2025-3-29 10:44:26 | 只看該作者
46#
發(fā)表于 2025-3-29 13:35:29 | 只看該作者
Internet of Nano Things and Industrial Internet of Thingsht on fundamental concepts, architecture, communication classifications, communication issues, applications, security and future research directions in the Internet of nano things. Additionally, it also explore architecture, requirements, benefits, security and future research directions in the indu
47#
發(fā)表于 2025-3-29 17:57:55 | 只看該作者
48#
發(fā)表于 2025-3-29 20:09:09 | 只看該作者
Wireless Sensor Network in Automation and Internet of Things the host network. The IOT devices sense the environmental conditions using sensor network comprised of sensor nodes. Due to miniature size, minimized data transmission and very low power factor, the sensor devices are attracting and holding a greater space in real-time data computation environments
49#
發(fā)表于 2025-3-30 03:16:55 | 只看該作者
Challenges of Distributed Storage Systems in Internet of Thingsy to the users is a major challenge considering the sensitive, personal or confidential nature of the data stored in the system. This chapter, discusses various issues related to fusion, privacy, security and trust in distributed storage systems.
50#
發(fā)表于 2025-3-30 05:40:56 | 只看該作者
Internet of Things Based Intelligent Elderly Care Systemtracted MPP feature set are modeled by the various machine learning methods like Support Vector Machine (SVM) with polynomial kernel, SVM with Radial Basis Function (RBF) kernel, K-Nearest Neighbor (KNN) and the Decision tree (J48) algorithm are used to classify the fall activies. Experimental resul
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