Hierarchical Deep Features Progressive Aggregation for Remote Sensing Images Scene Classification by Yang Zhao, Jiaqi Liang, Sisi Huang, Pingping Huang

“…Remote sensing image scene classification is essential, and it can promote the rational planning of land and ecological monitoring in the practical application of agricultural production. High spatial resolution (HSR) remote sensing images are widely used in smart agriculture because of their wide coverage and HSR. …”
Get full text

Energy-efficient collaborative transmission algorithm based on potential game theory for beamforming by Jing Zhang, Li Lei, Xin Feng

“…A group of nodes satisfying the node spacing condition is selected as cooperative nodes based on the ring array to minimize communication interference among nodes. …”
Get full text

A Dual-Enhanced Hierarchical Alignment Framework for Multimodal Named Entity Recognition by Jian Wang, Yanan Zhou, Qi He, Wenbo Zhang

“…Although existing methods alleviate semantic deficiencies by optimizing image and text feature extraction and fusion, a fundamental challenge remains due to the lack of fine-grained alignment caused by cross-modal semantic deviations and image noise interference. To address these issues, this paper proposes a dual-enhanced hierarchical alignment (DEHA) framework that achieves dual semantic and spatial enhancement via global–local cooperative alignment optimization. …”
Get full text

Spectrum Hole Geolocation for Database-Driven IoT-Enabled Dynamic Spectrum Access by Dayan Adionel Guimaraes

“…Otherwise, stemming from a spectrum hole detection not corresponding to the terminal location, harmful interference to the primary network may occur. Non-cooperative spectrum sensing can inherently deliver accurate spectrum hole geolocation, as it corresponds to the position of the spectrum sensor. …”
Get full text