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Abstract: In this issue, “Best of the Web” presents the modified National Institute of Standards and Technology (MNIST) resources, consisting of a collection of handwritten digit images used ...
Abstract: Data-driven deep learning techniques have made notable advancements in modeling electromagnetic scattering problems. However, its accuracy on the testing dataset can be heavily reduced when ...
Abstract: This paper investigates the practical prescribed-time consensus (Pd-TC) for nonlinear multi-agent systems (MASs) in the presence of uncertain disturbance, employing intermittent adaptive ...
Abstract: With the rapid advancement of magnetic confinement fusion technology, High- Temperature Superconductors (HTS) have emerged as a cornerstone for compact and efficient tokamak systems due to ...
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: Lithium-ion batteries in cold climates suffer from significant performance degradation, such as reduced available power and life cycle deterioration. To address this problem, a ...
Abstract: Metasurfaces, ultrathin two-dimensional version of metamaterials, have attracted tremendous attention due to their exotic capabilities to freely manipulate electromagnetic waves. By ...
Abstract: An accurate and robust state estimation of Lithium-ion batteries (LIBs) is crucial for safe and reliable operations. However, due to the modeling uncertainties and complex nonlinear behavior ...
Abstract: The sixth generation (6G) wireless networks are envisioned to feature wide-area coverage, diversified full-scenario services, massive connections and dynamic heterogeneity, resulting in ...
Abstract: Extremely large-scale antenna arrays, tremendously high frequencies, and new types of antennas are three clear trends in multi-antenna technology for supporting the sixth-generation (6G) ...
Abstract: Generative artificial intelligence (AI) has revolutionized AI by enabling high-fidelity content creation across text, images, audio, and structured data. This survey explores the core ...
Abstract: The diode rectifier (DR)- modular multilevel converter (MMC) HVDC has generated increasing interest in connecting deep-sea offshore wind farms. To evaluate the system stability, this paper ...
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