Abstract: High-accuracy positioning in fifth generation (5G) industrial networks is severely challenged by nonline-of-sight (NLOS) propagation, which induces particle degeneracy in conventional ...
CryoDRGN has proven a powerful deep learning method for heterogeneity analysis in single particle cryo-EM. In particular, the method models a continuous distribution over 3D structures by using a ...
The latest releases of Cursor and Windsurf integrated development environments are vulnerable to more than 94 known and patched security issues in the Chromium browser and the V8 JavaScript engine. An ...
The increasing availability of complex, heterogeneous datasets poses significant challenges for traditional data-driven methods, which often assume data homogeneity and fail to account for internal ...
Die-Hard fan of Nikola Tesla. Fukui functions function as basic descriptors from DFT-based conceptual density functional theory, which shows how electrons distribute within molecules. The prediction ...
M2Spice is a standalone open-sourced software that can convert the geometry of a planar magnetic device into SPICE simulation netlists. It can accurately capture skin and proximity effects in 1-D ...
Abstract: The wide adoption of convolutional neural networks (CNNs) in many applications has given rise to unrelenting computational demand and memory requirements. Computing-in-Memory (CIM) ...
This review focusses strictly on existing plasma density models, including ionospheric source models, empirical density models, physics-based and machine-learning density models. This review is framed ...
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