Abstract: This paper describes the methods employed in the floating-point area of the System/360 Model 91 to exploit the existence of multiple execution units. Basic to these techniques is a simple ...
Abstract: The potential of wide-field magneto-optical Kerr microscopy for the characterisation of low-dimensional van-der-Waals crystals is explored using the example of Cr2Ge2Te6 flakes in the ten ...
Abstract: Technology Computer-Aided Design (TCAD) simulations are used to clarify the underlying mechanisms affecting single-event upset results at 7nm, 5nm and 3nm bulk FinFET technologies using hard ...
Abstract: Non-line-of-sight (NLOS) mmWave imaging technology reconstructs the contour features of hidden targets by analyzing the indirect reflected signals of the relay surface, which has been a hot ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=7361 ...
Abstract: Recently, weak-to-strong consistency-based methods have yielded a remarkable performance for remote sensing image segmentation. However, they are designed within a single view, which ...
Abstract: In this study, to address the issues faced by mobile robots in complex environments, such as sparse rewards caused by limited effective experience, slow learning efficiency in the early ...
Abstract: Communication packet loss is omnipresent and can disrupt state convergence and weaken system stability for connected and automated vehicles (CAVs). Research into communication packet loss ...
Abstract: This paper proposes a distributed passivity-based bilateral teleoperation control for optimizing the velocity/force manipulability of the coordinated remote redundant manipulators during the ...
Abstract: Infrared small target detection is a challenging task due to the low contrast and small size of the targets, which are often affected by complex backgrounds. UNet and its variants, known for ...
Abstract: Low wind load designs are increasingly crucial for ultralarge-scale base station arrays operating in the sub-6 GHz band. Here, a sequential multiphysics machine learning-assisted ...
Abstract: An accurate sea foam emissivity model at microwave frequencies is indispensable for applications of microwave data in satellite data assimilation and remote sensing of atmospheric and ...