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Titlebook: Machine Learning and Intelligent Communications; 4th International Co Xiangping Bryce Zhai,Bing Chen,Kun Zhu Conference proceedings 2019 IC

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41#
發(fā)表于 2025-3-28 18:15:02 | 只看該作者
42#
發(fā)表于 2025-3-28 20:04:07 | 只看該作者
The Principle and Design of Separate Fingerprint Identification SystemSeparate fingerprint identification system (SFIS) is composed of high-speed DSP (digital signal processor), SRAM and Flash chip, whose modules include fingerprint entry, image processing, fingerprint contrasting, fingerprint searching and module storing. SFIS can be an integrated outer equipment with the help of corresponding fingerprint sensor.
43#
發(fā)表于 2025-3-28 23:10:14 | 只看該作者
978-3-030-32387-5ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019
44#
發(fā)表于 2025-3-29 06:10:56 | 只看該作者
Machine Learning and Intelligent Communications978-3-030-32388-2Series ISSN 1867-8211 Series E-ISSN 1867-822X
45#
發(fā)表于 2025-3-29 08:14:38 | 只看該作者
46#
發(fā)表于 2025-3-29 13:25:21 | 只看該作者
A Drone Formation Transformation Approachf STSC. The prototype system conforming to DFCA algorithm is implemented on OMNET++ platform, and numerous simulation experiments are carried out. The experimental results show the feasibility of the DFCA algorithm and show that it can control the drone formation transformation at a lower cost.
47#
發(fā)表于 2025-3-29 16:24:32 | 只看該作者
Multi-destination Two-Hop Untrusted AF Relay Networks with Destination-Aided Cooperative Jammingcomprehensively measure the secure and reliable performance. Moreover, we also present the asymptotic analysis of EST at the high signal-to-noise ratio (SNR). The Monte Carlo simulation is applied to validate the accuracy of the derived expressions and reveals the effects of different parameters, su
48#
發(fā)表于 2025-3-29 20:12:33 | 只看該作者
Improving Complex Network Controllability via Link Predictionetworks are vulnerable and will cause declining of controllability. Therefore, we propose in this paper a link prediction-based method to make the network more robust to different modes of attacking. Through experiments we have validated the effectiveness of the proposed method.
49#
發(fā)表于 2025-3-30 01:18:50 | 只看該作者
50#
發(fā)表于 2025-3-30 04:41:21 | 只看該作者
Indoor Localization Based on Centroid Constraints of AP Quadrilateral Networks applied to obtain the ultimate estimate coordinates of pending points under the condition of geometric constraints. This method enhances the robustness of indoor localization system and implements low-cost indoor localization.
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