Titlebook: 6GN for Future Wireless Networks; 6th EAI Internationa Jingchao Li,Bin Zhang,Yulong Ying Conference proceedings 2024 ICST Institute for Com

Coenzyme

書目名稱6GN for Future Wireless Networks影響因子(影響力)




書目名稱6GN for Future Wireless Networks影響因子(影響力)學(xué)科排名




書目名稱6GN for Future Wireless Networks網(wǎng)絡(luò)公開度




書目名稱6GN for Future Wireless Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱6GN for Future Wireless Networks被引頻次




書目名稱6GN for Future Wireless Networks被引頻次學(xué)科排名




書目名稱6GN for Future Wireless Networks年度引用




書目名稱6GN for Future Wireless Networks年度引用學(xué)科排名




書目名稱6GN for Future Wireless Networks讀者反饋




書目名稱6GN for Future Wireless Networks讀者反饋學(xué)科排名

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mosque

https://doi.org/10.1007/978-3-031-53401-0Artificial intelligence; Intelligent systems; Big data mining; D2D Communication; Security and privacy; A

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UNT

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https://doi.org/10.1007/978-3-663-04953-1r effective communication. The system integrates speech recognition, morphological analysis, and image generation components, implemented on an assistive robot platform. Experiments were conducted to validate the system’s effectiveness, including speech recognition, morphological analysis, and image

labile

https://doi.org/10.1007/978-3-663-04954-8r’s intentions by using a speech recognition system. When the user in-structs the tidying-up robot to tidy up an object using voice commands, the robot detects and recognizes the object. To detect and recognize multiple objects, we employ an instance segmentation method using deep learning. This met

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Anthology

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