IEEE

Volunteer Assisted Collaborative Offloading and Resource Allocation in Vehicular Edge Computing

Abstract: As a promising new paradigm, Vehicular Edge Computing (VEC) can improve the QoS of vehicular applications by computation offloading. However, with more and more computation-intensive ...
IEEE

Hyperspectral Imaging for Military and Security Applications: Combining Myriad Processing and Sensing Techniques

Abstract: Collecting airborne and spaceborne intelligence, surveillance, and reconnaissance (ISR) information is mandatory for addressing the defense challenges posed in the 21st century. A key tool ...
IEEE

LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection

Abstract: Considerable endeavors have been expended toward enhancing the representation performance for hyperspectral anomaly detection (HAD) through physical model-based methods and recent deep ...
IEEE

Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond

Abstract: As the standardization of 5G solidifies, researchers are speculating what 6G will be. The integration of sensing functionality is emerging as a key feature of the 6G Radio Access Network ...
IEEE

Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images

Abstract: Semantic change detection (SCD) refers to the task of simultaneously extracting changed areas and their semantic categories (before and after the changes) in remote sensing images (RSIs).
IEEE

A General Spatial-Frequency Learning Framework for Multimodal Image Fusion

Abstract: Multimodal image fusion involves tasks like pan-sharpening and depth super-resolution. Both tasks aim to generate high-resolution target images by fusing the complementary information from ...
IEEE

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Abstract: Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks. As speech signal contains ...
IEEE

Cutaneous/Tactile Haptic Feedback in Robotic Teleoperation: Motivation, Survey, and Perspectives

Abstract: Cutaneous haptic feedback has recently received great attention from researchers in the robotic teleoperation field, as it has been proven to convey rich information to the human operator ...
IEEE

Forecasting the Short-Term Metro Ridership With Seasonal and Trend Decomposition Using Loess and LSTM Neural Networks

Abstract: Forecasting the short-term metro ridership is an important issue for operation management of metro systems. However, it cannot be solved well by the single long short-term memory (LSTM) ...
IEEE

Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis

Abstract: Recently, many efforts have been made to develop more efficient Inter-Vehicle Communication (IVC) protocols for on-demand route planning according to observed traffic congestion or incidents ...
IEEE

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Abstract: Remaining useful life (RUL) prediction of lithium-ion batteries can assess the battery reliability to determine the advent of failure and mitigate battery risk. The existing RUL prediction ...
IEEE

Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing

Abstract: Mobile edge computing has risen as a promising technology for augmenting the computational capabilities of mobile devices. Meanwhile, in-network caching has become a natural trend of the ...