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 ...

Abstract: In this paper, we study a challenging problem in image restoration, namely, how to develop an all-in-one method that could recover images from a variety of unknown corruption types and ...