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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 ...
IEEE26d
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 ...
IEEE22d
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
SDS-SLAM: VSLAM Fusing Static and Dynamic Semantic Information for Driving Scenarios - IEEE Xplore
Visual semantic SLAM integrates geometric measurements with semantic perception, making it widely applicable in autonomous driving and robotics. Semantic-assisted localization and dynamic object ...
IEEE29d
A Comprehensive Overview and Analysis of Large Language Models: Trends and Challenges | IEEE Journals & Magazine | IEEE Xplore
Large Language Models (LLMs) have transformed numerous fields by offering innovative solutions that drive advancements across a wide range of applications. However, their widespread adoption presents ...
IEEE27d
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 ...
IEEE26d
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 ...
IEEE29d
Analysis of Age of Information for A Discrete-time Dual-Queue System | IEEE Journals & Magazine | IEEE Xplore
Using multiple sensors to update the status process of interest is promising in improving the information freshness. The unordered arrival of status updates at the monitor end poses a significant ...
IEEE29d
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing Images | IEEE Journals & Magazine | IEEE Xplore
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 mainstream ...
IEEE29d
Irregular Tensor Low-Rank Representation for Hyperspectral Image Representation | IEEE Journals & Magazine | IEEE Xplore
Spectral variations pose a common challenge in analyzing hyperspectral images (HSI). To address this, low-rank tensor representation has emerged as a robust strategy, leveraging inherent correlations ...
IEEE25d
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
Recognizing Natural Images From EEG With Language-Guided Contrastive Learning | IEEE Journals & Magazine | IEEE Xplore
Electroencephalography (EEG), known for its convenient noninvasive acquisition but moderate signal-to-noise ratio, has recently gained much attention due to the potential to decode image information.