ABSTRACT This study analyzes the architecture of the beyond 5G‐NTN (Non‐terrestrial Network) integrated network and presents the technical, legal, and regulatory challenges and considerations for expanding the Artificial Intelligence of Things (AIoT) ecosystem.
Byung Woon Kim, Ga Eun Choi
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Path Optimization Strategy for Unmanned Aerial Vehicles Based on Improved Black Winged Kite Optimization Algorithm. [PDF]
Wang S, Xu B, Zheng Y, Yue Y, Xiong M.
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Cluster Networking and Cooperative Localization Based on Biogeography Optimization and Improved Super-Multidimensional Scaling for Multi-Unmanned Aerial Vehicles. [PDF]
Zhang S, Zhang H, Zhan Y, Wei X, Liu Y.
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Aerodynamic and Inertial Loading Effects of Insect-Inspired Appendages in Small Unmanned Aerial Vehicles. [PDF]
Ogunwa T, Chahl J.
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Target detection and classification via EfficientDet and CNN over unmanned aerial vehicles. [PDF]
Yusuf MO +6 more
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A Novel Dataset and Detection Method for Unmanned Aerial Vehicles Using an Improved YOLOv9 Algorithm. [PDF]
Gao D +6 more
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Classification of Unmanned Aerial Vehicles Based on Acoustic Signals Obtained in External Environmental Conditions. [PDF]
Mięsikowska M.
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