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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 ...
IEEE29d
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 ...
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 ...
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 ...
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 ...
IEEE29d
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 ...
IEEE29d
High Energy Sub-kHz Linewidth Pulsed Single-Frequency Fiber Laser
A high energy and sub-kilohertz pulsed single-frequency laser is demonstrated with an all-fiber master oscillation power amplification scheme. A polarization-maintaining large mode area tapered ...
IEEE29d
Towards 6G Evolution: Three Enhancements, Three Innovations, and Three Major Challenges | IEEE Journals & Magazine | IEEE Xplore
Over the past few decades, wireless communication has witnessed remarkable growth, experiencing several transformative changes. This article offers a comprehensive overview of wireless communication ...
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 ...
IEEE20d
LLM4CP: Adapting Large Language Models for Channel Prediction
Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel prediction methods lack ...