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IEEE2d
Semiconductor Memory Technologies: State-of-the-Art and Future Trends - IEEE Xplore
This article surveys the recent development of semiconductor memory technologies spanning from the mainstream static random-access memory, dynamic random-access memory, and flash memory toward ...
IEEE11d
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 ...
IEEE22d
A Remote Sensing Image Change Detection Method Integrating Layer-Exchange and Channel-Spatial Differences | IEEE Journals & Magazine | IEEE Xplore
Change detection in remote sensing imagery is a crucial technique for Earth observation, primarily focusing on pixel-level segmentation of change regions between bitemporal images. The core of ...
IEEE22d
Rapid Optimization of Feed Location for High-Gain Umbrella-Type Antennas via Heuristic Electromechanical Coupling | IEEE Journals & Magazine | IEEE Xplore
This study presents a methodology for efficiently determining the optimal feed location of umbrella-type antennas (UTAs) to maximize antenna gain. By leveraging heuristic compensation principles (HCPs ...
IEEE25d
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 ...
IEEE25d
Quantum Annealing-Inspired Optimization for Space-Time Coding Metasurface | IEEE Journals & Magazine | IEEE Xplore
Space-time coding metasurfaces introduce a new degree of freedom in the temporal domain, enabling advanced manipulation of electromagnetic (EM) waves, particularly in controlling waves at different ...
IEEE25d
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 ...
IEEE28d
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 ...
IEEE28d
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 ...
IEEE28d
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 ...
IEEE29d
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 ...
IEEE29d
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 ...