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: The demand for chiplet integration using 2.5D and 3D advanced packaging technologies has surged, driven by the exponential growth in computing performance required by Artificial Intelligence ...

Abstract: The development of space-air-ground integrated networks (SAGIN) requires sophisticated satellite Internet emulation tools that can handle complex, dynamic topologies and offer in-depth ...

Abstract: A resonant converter is a type of electric power converter that contains a network of inductors and capacitors called a "resonant tank", tuned to resonate at a specific frequency. They find ...

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: Restoring images captured under adverse weather conditions is a fundamental task for many computer vision applications. However, most existing weather restoration approaches are only capable ...

Abstract: This extensively revised edition of the bestselling Artech House book, RF Power Amplifiers for Wireless Communications, offers you a comprehensive, practical, and up-to-date understanding of ...

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 ...

Abstract: Multi-jet impingement-based cooling manifolds, functioning as integrated networks for liquid delivery and effusion, have become increasingly important due to the rising thermal management ...

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: Large language models (LLMs) have not only revolutionized natural language processing but also extended their prowess to various domains, marking a significant stride towards artificial ...