This article surveys the recent development of semiconductor memory technologies spanning from the mainstream static random-access memory, dynamic random-access memory, and flash memory toward ...

Event cameras are bioinspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. They offer significant advantages over standard cameras, namely a very ...

Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and recognition are crucial in ...

Change detection in remote sensing imagery is a crucial technique for Earth observation, primarily focusing on pixel-level segmentation of change regions between bitemporal images. The core of ...

Abstract: Increasing the viscosity of elastic joints can significantly improve the performance of elastic joint robots during physical human–robot interactions. However, current approaches for ...

This study presents a methodology for efficiently determining the optimal feed location of umbrella-type antennas (UTAs) to maximize antenna gain. By leveraging heuristic compensation principles (HCPs ...

Beam hopping (BH) is a widely adopted technique in multi-beam satellite communication systems, and it can effectively improve the system capacity. However, conventional BH with full frequency reuse ...

With the rapid advancement of magnetic confinement fusion technology, High- Temperature Superconductors (HTS) have emerged as a cornerstone for compact and efficient tokamak systems due to their ...

Snapshot compressive imaging (SCI) captures a 3D hyperspectral image (HSI) using a 2D compressive measurement and reconstructs the desired 3D HSI from that 2D measurement. The effective reconstruction ...

Space-time coding metasurfaces introduce a new degree of freedom in the temporal domain, enabling advanced manipulation of electromagnetic (EM) waves, particularly in controlling waves at different ...

Data-driven deep learning techniques have made notable advancements in modeling electromagnetic scattering problems. However, its accuracy on the testing dataset can be heavily reduced when data ...