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IEEE8d
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 ...
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 ...
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 ...
IEEE29d
Discrete Memristive Hopfield Neural Network and Application in Memristor-State-Based Encryption | IEEE Journals & Magazine | IEEE Xplore
Memristors can serve as variable synaptic weights between neurons for adaptive neural network regulation. Inspired by this, a discrete memristive Hopfield neural network (DM-HNN) is constructed ...
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 ...
IEEE28d
Artificial Intelligence-Aided Kalman Filters: AI-Augmented Designs for Kalman-Type Algorithms | IEEE Journals & Magazine | IEEE Xplore
The Kalman filter (KF) and its variants are among the most celebrated algorithms in signal processing. These methods are used for state estimation of dynamic systems by relying on mathematical ...
IEEE28d
The Evolution of Generative AI: Trends and Applications
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 methodologies, ...
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 ...
IEEE28d
Piecewise Small-Signal Modeling and Stability Analysis of DR-MMC HVDC System for Offshore Wind Farms Via Floquet and Filippov Theory | IEEE Journals & Magazine | IEEE Xplore
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 introduces ...
IEEE29d
Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning | IEEE Journals & Magazine | IEEE Xplore
In recent years, Convolutional Neural Networks (CNNs) have been extensively utilized for Synthetic Aperture Radar (SAR) ship detection tasks. The fixed square shape of convolutional kernels in ...
IEEE28d
Attention-Enhanced Deep Reinforcement Learning for Electric Vehicle Routing Optimization | IEEE Journals & Magazine | IEEE Xplore
Recently, the electric vehicle routing problem (EVRP) has emerged as a significant challenge in the transportation industry. Unlike traditional vehicle routing problems (VRPs) that focus primarily on ...
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 ...