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 ...
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 ...
IEEE27d
OffsetNet: Towards Efficient Multiple Object Tracking, Detection, and Segmentation
Abstract: Offset-based representation has emerged as a promising approach for modeling semantic relations between pixels and object motion, demonstrating efficacy across various computer vision tasks.
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 ...
IEEE9d
Hybrid Federated Learning for Multimodal IoT Systems
Abstract: Multimodal federated learning (FL) targets the intersection of two promising research directions in Internet of Things (IoT) scenarios: 1) leveraging complementary multimodal information to ...
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 ...
IEEE27d
Dedicated 3D Printed Radioactive Phantoms With
Abstract: This study explores the potential of digital light processing to 3D print radioactive phantoms for high-resolution positron emission tomography (PET). Using a slightly modified desktop 3D ...
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 ...
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 ...
IEEE25d
Forecasting of Tropospheric Delay Using AI Foundation Models in Support of Microwave Remote Sensing
Abstract: Accurate tropospheric delay forecasts are imperative for microwave-based remote sensing techniques, playing a pivotal role in early warning and forecasting of natural disasters such as ...