IEEE6d
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 ...
IEEE23d
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.
IEEE13d
Geographically Weighted Convolutional Long Short-Term Memory Neural Networks: A Geospatial Deep Learning Model for Monthly NDVI Prediction
Abstract: Vegetation is a key component of biodiversity and ecosystem stability. The normalized difference vegetation index (NDVI) is widely used to monitor the vegetation growth status. Timely ...
IEEE23d
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 ...
IEEE11d
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 ...
IEEE13d
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 ...
IEEE7d
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 ...
IEEE12d
Enhancing Vibration Detection in Ï•-OTDR Through Image Coding and Deep Learning-Driven Feature Recognition
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=7361 ...
IEEE5d
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 ...
IEEE28d
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 ...
IEEE23d
Safe and Efficient Multi-Agent Collision Avoidance With Physics-Informed Reinforcement Learning
Abstract: Reinforcement learning (RL) has shown great promise in addressing multi-agent collision avoidance challenges. However, existing RL-based methods often suffer from low training efficiency and ...
IEEE28d
A Patch-Based Method for Underwater Image Enhancement With Denoising Diffusion Models
Abstract: The enhancement of underwater images has emerged as a significant technological challenge in advancing marine research and exploration tasks. Due to the scattering of suspended particles and ...