Titlebook: Wireless Algorithms, Systems, and Applications; 17th International C Lei Wang,Michael Segal,Tie Qiu Conference proceedings 2022 The Editor(

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書(shū)目名稱Wireless Algorithms, Systems, and Applications影響因子(影響力)




書(shū)目名稱Wireless Algorithms, Systems, and Applications影響因子(影響力)學(xué)科排名




書(shū)目名稱Wireless Algorithms, Systems, and Applications網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Wireless Algorithms, Systems, and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Wireless Algorithms, Systems, and Applications被引頻次




書(shū)目名稱Wireless Algorithms, Systems, and Applications被引頻次學(xué)科排名




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書(shū)目名稱Wireless Algorithms, Systems, and Applications讀者反饋




書(shū)目名稱Wireless Algorithms, Systems, and Applications讀者反饋學(xué)科排名

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nutrients

978-3-031-19213-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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蘑菇

dyspareunia

Robust Adaptive Cubature Kalman Filter for?Attitude Determination in?Wearable Inertial Sensor Networt CKF algorithm based on quaternion and gyroscope error modeling proposed in this paper can solve motion attitude solution. Lastly, we compare our method with CKF and EKF algorithm, the proposed algorithm can effectively improve the precision of attitude analysis.

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BAIT

0302-9743 edings were carefully reviewed and selected from 265 submissions. The contributions in.??algorithms, systems; and applications of internet of things;information processing and data management;.radar and sonar networks.978-3-031-19213-5978-3-031-19214-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Unsupervised Deep Learning-Based Hybrid Beamforming in?Massive MISO Systemstimizing the HBF through deep learning (DL) has gained considerable attention in recent years due to its potential in dealing with the nonconvex problems. However, existing DL-based HBF methods require wider or deeper neural networks to guarantee training performance, which not only leads to higher