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Titlebook: AI and IoT for Smart City Applications; Vincenzo Piuri,Rabindra Nath Shaw,Rabiul Islam Book 2022 The Editor(s) (if applicable) and The Aut

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發(fā)表于 2025-3-28 15:20:34 | 只看該作者
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發(fā)表于 2025-3-28 21:21:03 | 只看該作者
https://doi.org/10.1007/978-1-4842-5772-2on network to interlink city centers using existing infrastructure with minimum investment. The WSN can be used as an alternative to building a smart network between IoT devices and the local server (Sink Node). The battery-powered sensor nodes of WSN collect, process, and communicate with the sink
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發(fā)表于 2025-3-29 02:41:30 | 只看該作者
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發(fā)表于 2025-3-29 04:00:25 | 只看該作者
Heinz Tsch?tsch,Anette Reichelttion approximation. We have tried to improve the traffic flow at the intersection point which is monitored, managed, and controlled by traffic lights. For achieving such a goal we will employ deep reinforcement learning commonly called deep Learning. To get real-time data, RFID readers will be used.
45#
發(fā)表于 2025-3-29 10:58:28 | 只看該作者
Neoclassical Macroeconomic Model,rategy based on neutral neural networks (CNN). The goal of the chapter is to create a working prototype of a sleepiness detection system that can help to make a smart city. The technology works by keeping an eye on the driver‘s eyes and sounding the warning while it dries. The system is a non-intrus
46#
發(fā)表于 2025-3-29 13:43:59 | 只看該作者
Richard Gerber,C. D. Wright,G. Astivarious sectors, even in the military, to help them with reconnaissance tasks. Further, the proposed methodology is equipped with an alarm system that warns against plausible security breaches and intrusion. This mechanism enhances the security of a smart city using IoT techniques. The entire method
47#
發(fā)表于 2025-3-29 19:12:29 | 只看該作者
48#
發(fā)表于 2025-3-29 20:19:21 | 只看該作者
Richard Gerber,C. D. Wright,G. Astierpreting significant eye gaze and blink. The algorithm for eye blink detection from 2-D image feed been classified in two major steps for accomplishing a heuristic based region of interest (ROI) identification and tracking the ROI for rapid detection of volunteered blinks. The sequence of volunteer
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發(fā)表于 2025-3-30 01:20:25 | 只看該作者
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發(fā)表于 2025-3-30 06:06:08 | 只看該作者
Dexter B. Watts,H. Allen Torbert will never explore the same area repeatedly and hence will same time and will lead to more accurate mapping of the environment. To implement this solution, we used ROS as the middle ware, with the help of the ROS we can encounter and handle many real time parameters which will make our system more
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