IEEE10d
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 ...
IEEE28d
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.
IEEE11d
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 ...
IEEE12d
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 ...
IEEE10d
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 ...
IEEE1mon
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=36 ...
IEEE1mon
A Flexible Job Shop Scheduling Problem Considering On-Site Machining Fixtures: A Case Study From Customized Manufacturing Enterprise
Abstract: The joint optimization of production scheduling and resource constraints is critical to modern manufacturing systems. The number of auxiliary resources (fixtures) is usually insufficient in ...
IEEE1mon
Recent Advances in Optimal Transport for Machine Learning
Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...
IEEE22d
The Impact of Artificial General Intelligence-Assisted Project-Based Learning on Students’ Higher Order Thinking and Self-Efficacy
Abstract: This study investigates the impact of artificial general intelligence (AGI)-assisted project-based learning (PBL) on students’ higher order thinking and self-efficacy. Based on input from 17 ...
IEEE24d
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 ...
IEEE28d
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 ...