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Abstract: Remote sensing images (RSIs) spatiotemporal fusion (STF) make a significant contribution to acquisition of RSIs sequence with simultaneously high temporal and spatial resolution, which ...
Abstract: Deep Learning algorithms are designed in such a way that they mimic the function of the human cerebral cortex. These algorithms are representations of deep neural networks i.e. neural ...
Abstract: Steel surface defect detection plays a critical quality control role in industrial manufacturing. However, the existing methods struggle to balance accuracy and efficiency, especially in ...
Abstract: 6G and beyond will fulfill the requirements of a fully connected world and provide ubiquitous wireless connectivity for all. Transformative solutions are expected to drive the surge for ...
Abstract: Embedded artificial intelligence (AI) seamlessly integrates AI into everyday devices. By bringing AI closer to the data source, embedded AI empowers real-time decision making, enhanced ...
Abstract: Metasurfaces, ultrathin two-dimensional version of metamaterials, have attracted tremendous attention due to their exotic capabilities to freely manipulate electromagnetic waves. By ...
Abstract: Existing image fusion methods always use hand-crafted fusion rules due to the uninterpretability of deep feature maps, which restrict the performance of networks and result in distortion. To ...
Abstract: The future sixth-generation (6G) of wireless networks is expected to surpass its predecessors by offering ubiquitous coverage through integrated air-ground deployments in both communication ...
Abstract: This letter analyzes the impact of a phase-locked loop (PLL) on small-signal stability in a system of interconnected grid-forming and grid-following (GFL) converters. It identifies an ...
Abstract:" This recommended practice addresses the activities of the creation, analysis, and sus-tainment of architectures of software-intensive systems, and the recording of such architectures ...
Abstract: With the rapid development of the Internet of Everything (IoE), the number of smart devices connected to the Internet is increasing, resulting in large-scale data, which has caused problems ...
Abstract: Spectral imaging systems enable a significant leap forward in identifying and characterizing materials and objects through their unique spectral signatures. This review explores the advances ...
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