Titlebook: Space Information Networks; 7th International Co Quan Yu Conference proceedings 2024 The Editor(s) (if applicable) and The Author(s), under

丑恶

Zhongyang Yu,Mengmeng Xu,Yuanyuan Wang,Jixun Gaoternal (expert graphs) knowledge into EKN; continuous knowledge refinement, etc..The inference and inquiry processes are low cost processes in NEXTOOL because they are supported by local decision and acyclic networks. Also, the description of NEXTOOL decisions is a very natural set of fuzzy rules of

Mobile

commute

Jie Shi,Jingzheng Chong,Zejiang Huang,Zhihua Yangternal (expert graphs) knowledge into EKN; continuous knowledge refinement, etc..The inference and inquiry processes are low cost processes in NEXTOOL because they are supported by local decision and acyclic networks. Also, the description of NEXTOOL decisions is a very natural set of fuzzy rules of

赞美者

ternal (expert graphs) knowledge into EKN; continuous knowledge refinement, etc..The inference and inquiry processes are low cost processes in NEXTOOL because they are supported by local decision and acyclic networks. Also, the description of NEXTOOL decisions is a very natural set of fuzzy rules of

optic-nerve

Energy-Constrained Model Pruning for Efficient In-Orbit Object Detection in Optical Remote Sensing method so as to achieve energy-efficient object detection. Comprehensive experiments have shown the effectiveness of the proposed method in terms of model size, computational complexity, latency and energy consumption, while maintaining comparable detection accuracy.

慷慨援助

,IP Tunneling Based for Mobility Management in LEO Constellation Networks,and the transmission network belong to two networks respectively, where general routing algorithm is used to handle the relative mobility between the satellites and ground stations, and the IP tunneling is used to handle the relative mobility between the satellites and user terminals. Compared with

影响深远

Remote Sensing Image Fusion Method Based on Retinex Model and Hybrid Attention Mechanism, with state-of-the-art pansharpening methods on multiple remote sensing image datasets show that AIRNet has significantly outstanding performance. In addition, multiple ablation experiments also show that the proposed SAIM and HARM are effective modules of AIRNet for pansharpening.

engender

Nausea

让步

Yang Yang,Zhenzhen Xu,Xingyu Liu,Jun Pan,Likun Liu