IEEE9d
Space-Air-Ground Integrated Wireless Networks for 6G: Basics, Key Technologies, and Future Trends
Abstract: With the expansive deployment of ground base stations, low Earth orbit (LEO) satellites, and aerial platforms such as unmanned aerial vehicles (UAVs) and high altitude platforms (HAPs), the ...
IEEE10d
S 2 CrossMamba: Spatial–Spectral Cross-Mamba for Multimodal Remote Sensing Image Classification
Abstract: Integration of complementary information from different modalities and efficient computation is crucial in remote sensing (RS) image classification applications. Convolutional neural ...
IEEE10d
Convolutional neural networks for time series classification
Abstract: Time series classification is an important task in time series data mining, and has attracted great interests and tremendous efforts during last decades. However, it remains a challenging ...
IEEE14d
State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches
Abstract: Precise estimation of both state-of-charge (SoC) and state-of-health (SoH) is crucial for optimizing electric vehicle (EV) performance and enhancing the battery lifetime, safety, and ...
IEEE16d
An Introduction to Variational Autoencoders
Abstract: In this monograph, the authors present an introduction to the framework of variational autoencoders (VAEs) that provides a principled method for jointly learning deep latent-variable models ...
IEEE20d
FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model
Abstract: Remote sensing image fusion aims to generate a high-resolution multi/hyper-spectral image by combining a high-resolution image with limited spectral data and a low-resolution image rich in ...
IEEE21d
Wave Propagation and Scattering in Random Media
Book Abstract: Electrical Engineering Wave Propagation and Scattering in Random Media A volume in the IEEE/OUP Series on Electromagnetic Wave Theory Donald G. Dudley, Series Editor This IEEE Classic ...
IEEE21d
Unbounded-GS: Extending 3D Gaussian Splatting With Hybrid Representation for Unbounded Large-Scale Scene Reconstruction
Abstract: Modeling large-scale scenes from multi-view images is challenging due to the trade-off dilemma between visual quality and computational cost. Existing NeRF-based methods have made ...
IEEE23d
A Novel Fault-Tolerant Operation Approach for Cascaded H-Bridge Converter-Based Battery Energy Storage Systems to Avoid Overcharge
Abstract: Conventional fundamental frequency zero-sequence voltage (FFZSV) injection-based fault-tolerant operation methods cause power reversion under submodule (SM) failure conditions with low-power ...
IEEE23d
A Thompson Sampling-Based Sparse Evolutionary Operator for Sparse Large-Scale Multi-Objective Optimization
Abstract: Traditional multi-objective evolutionary algorithms (MOEAs) face challenges when addressing sparse large-scale multi-objective optimization problems (SLSMOPs) with many zero decision ...
IEEE24d
Incremental Classification for High-Dimensional EEG Manifold Representation Using Bidirectional Dimensionality Reduction and Prototype Learning
Abstract: In brain-computer interface (BCI) systems, symmetric positive definite (SPD) manifold within Riemannian space has been frequently utilized to extract spatial features from ...
IEEE25d
Waves and Fields in Inhomogenous Media
Book Abstract: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...