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 ...

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 ...

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).

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 ...

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 ...

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 ...

Abstract: The brushless doubly-fed wind power system based on conventional power control strategies lacks ‘inertia’ and the ability to support grid, which leads to the decline of grid stability.

Abstract: With the growth and wide variety of available data, advanced processing, and affordable data storage, machine learning is witnessing great attention in finding optimized solutions in various ...

Abstract: For the virtual synchronous generator (VSG) connected to the distorted grid, it is difficult to address the distorted grid current issue by the conventional harmonic suppression methods. To ...