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: 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: Compute-in-memory (CIM) based on emerging nonvolatile memory (eNVM) is an effective way to deploy neural networks to low-power edge devices for both storage and computation. NVMs such as ...

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: Semantic change detection (CD) not only helps pinpoint the locations where changes occur, but also identifies the specific types of changes in land cover and land use. Currently, the ...

Abstract: In this letter, we present a spectral optimal control framework for Fokker-Planck equations based on the standard ground state transformation that maps the Fokker-Planck operator to a ...

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: In the photovoltaic (PV) power generation field, accurately identifying solar cell defects based electroluminescence (EL) images is essential for maintaining high efficiency for PV power ...

Abstract: Graph Neural Network (GNN) is a popular semi-supervised graph representation learning method, whose performance strongly relies on the quality and quantity of labeled nodes. Given the ...

Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...

Abstract: This article presents a frequency-domain method for following paths that cannot be expressed analytically. First, the path is described using discrete path points. The proposed algorithm ...