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Titlebook: Recent Trends and Advances in Artificial Intelligence and Internet of Things; Valentina E. Balas,Raghvendra Kumar,Rajshree Sriva Book 2020

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31#
發(fā)表于 2025-3-26 22:02:56 | 只看該作者
Network Monitoring System Using Ping Methodology and GUI,sation which widely spread in different locations, by registering all devices of the organisation to this application they can be monitored from the organisation’s headquarters or anywhere else. Using network monitoring which gives detailed information about the device which is defect or disconnecte
32#
發(fā)表于 2025-3-27 04:34:28 | 只看該作者
License Plate Recognition Based on K-Means Clustering Algorithm,ense plates. LPR used in traffic and other various security applications. In this work, LPR tracking system using K-Means (KM) clustering algorithm and Optical Character Recognition (OCR) technique is discussed. LPR system includes pre-processing using median filter, KM segmentation, binarization of
33#
發(fā)表于 2025-3-27 08:02:09 | 只看該作者
An Implementation of Bidirectional NOC Router for Reconfigurable Coarse Grained Architecture by Usiircuit carries millions of chips, to which each chip includes of millions of transistors. Therefore, NoC router is intended to facilitate effective routing operation in the SoC board. Crossbar Switches, arbiters, buffers, a routing logic, and Network Interconnects are incorporated in NoC router. Pri
34#
發(fā)表于 2025-3-27 13:19:32 | 只看該作者
35#
發(fā)表于 2025-3-27 17:02:32 | 只看該作者
36#
發(fā)表于 2025-3-27 19:55:22 | 只看該作者
Extensive Study on Antennae for IoT Applications,. Antenna system plays a vital role in providing communication between all IoT Nodes and Devices (IND), Antenna performance may seem unimportant. The whole idea of IoT is based on having many devices close together with inexpensive transceivers. Despite the close range and low cost, though, antenna
37#
發(fā)表于 2025-3-27 22:49:13 | 只看該作者
A Bi-spectrum Analysis of Uterine Electromyogram Signal Towards the Prediction of Preterm Birth, obtained from the abdominal surface is analyzed for the prediction or preterm labor. Many linear and non-linear features and classifiers have been analyzed in different researches. In this paper two neural network classifiers were applied to the Bi-spectrum feature obtained from the Uterine EMG sig
38#
發(fā)表于 2025-3-28 02:48:02 | 只看該作者
39#
發(fā)表于 2025-3-28 06:51:14 | 只看該作者
40#
發(fā)表于 2025-3-28 12:38:52 | 只看該作者
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