Automatic modulation classification (AMC) has been a critical task in non-cooperative communication systems, yet the application of deep learning to this domain faces challenges. In this letter, we propose a multi-level spatiotemporal framework for AMC. The model integrates a series of fundamental deep learning compone...
This study proposes EdgeNeXt-Attn, an enhanced EdgeNeXt-based framework that effectively integrates local feature learning and global contextual modeling through channel and spatial attention mechanisms and improves the detection of small, occluded, and visually ambiguous fire regions while maintaining the computationa...
Hikmat Yar, Nehad Ali Shah, Wei-Wei Jiang et al.· Remote Sensing· 0 citations
A lightweight source-conditioned multiscale detection framework for vehicle detection from independent satellite, UAV, and CCTV image domains is proposed, centered on a source-aware multiscale awareness fusion module (SA-MS-AFM), which performs source-expert reweighting from a single input image and supports masked-exp...
Zhen Liu, Mei-Po Kwan, Weiwei Jiang et al.· IEEE Transactions on Geoscie...· 4 citations
Results show that topology‐aware cooperative learning can provide a scalable and practical solution for reliable UAV communication in future intelligent aerial and 6G‐enabled networks, particularly in dense deployments.
V. Nam, A. Chehri, Weiwei Jiang et al.· Expert Syst. J. Knowl. Eng.· 0 citations
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