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IEEE9d
The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web] - IEEE Xplore
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 extensively in ...
IEEE21d
Geometrically Shaped Constellation in Short-Packet Visible Light Communications for IIoT Applications | IEEE Journals & Magazine | IEEE Xplore
Due to the high data rates, license-free operations and inherent security, visible light communication (VLC) is highly valued in Industrial Internet of Things (IIoT) applications. Short packet ...
IEEE23d
Hybrid Physics-Data-Driven Neural Network for Accurate Modeling of Scattering Problems | IEEE Journals & Magazine | IEEE Xplore
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 data ...
IEEE23d
Practical Prescribed-Time Consensus of Uncertain Multi-Agent Systems via Intermittent Dynamic Event-Triggered Control | IEEE Journals & Magazine | IEEE Xplore
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 dynamic event ...
IEEE23d
21.7-tesla large-scale high-temperature superconducting toroidal magnet for tokamak fusion application | IEEE Journals & Magazine | IEEE Xplore
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 their ...
IEEE25d
Embedded Artificial Intelligence: Intelligence on Devices | IEEE Journals & Magazine | IEEE Xplore
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 efficiency, and ...
IEEE26d
An Automotive Onboard Self-Heating Method Based on Reconfigurable Battery System in Cold Climates | IEEE Journals & Magazine | IEEE Xplore
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 reconfigurable battery ...
IEEE26d
Reconfigurable Intelligent Surfaces: Design, Implementation, and Practical Demonstration | CIE Journals & Magazine - IEEE Xplore
Metasurfaces, ultrathin two-dimensional version of metamaterials, have attracted tremendous attention due to their exotic capabilities to freely manipulate electromagnetic waves. By incorporating ...
IEEE27d
A Comprehensive Survey of Knowledge-Driven Deep Learning for Intelligent Wireless Network Optimization in 6G | IEEE Journals & Magazine | IEEE Xplore
The sixth generation (6G) wireless networks are envisioned to feature wide-area coverage, diversified full-scenario services, massive connections and dynamic heterogeneity, resulting in large-scale ...
IEEE27d
Deep Reinforcement Learning Guided Framework for State Estimation of Li-ion Batteries: A Control-Oriented Approach With High Adaptability | IEEE Journals & Magazine | IEEE Xplore
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 of LIBs ...
IEEE27d
A PID Framework With Intelligent Derivative Control and Model Bias for Robust State Estimation of Large Format Lithium-ion Batteries | IEEE Journals & Magazine | IEEE Xplore
Large format Li-ion batteries (LIBs) are getting huge attention due to higher density, efficient packing, and lower system and design costs. However, due to internal inhomogeneities, they exhibit a ...
IEEE27d
Noise-Informed Diffusion-Generated Image Detection With Anomaly Attention | IEEE Journals & Magazine | IEEE Xplore
With the rapid development of image generation technologies, especially the advancement of Diffusion Models, the quality of synthesized images has significantly improved, raising concerns among ...