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

Coenzyme

書(shū)目名稱(chēng)6GN for Future Wireless Networks影響因子(影響力)




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




書(shū)目名稱(chēng)6GN for Future Wireless Networks網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)6GN for Future Wireless Networks網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)6GN for Future Wireless Networks被引頻次




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




書(shū)目名稱(chēng)6GN for Future Wireless Networks年度引用




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




書(shū)目名稱(chēng)6GN for Future Wireless Networks讀者反饋




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

dialect

mosque

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

BACLE

UNT

巡回

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

暗語(yǔ)

Anthology

CORD