A new technical paper titled “Enabling static random-access memory cell scaling with monolithic 3D integration of 2D field-effect transistors” was published by researchers at The Pennsylvania State ...

This issue is particularly pronounced for underrepresented groups, such as the elderly, where annotated 3D data is even scarcer. To address this challenge, we propose leveraging more readily available ...

PolymerCpp provides a number of Python functions that exposes the C++ routines for generating 3D WLCs, including Important Note: The self-avoiding wormlike chain in this program does not produce the ...

We introduce PM-Loss, a novel regularization loss based on a learned point map for feed-forward 3DGS, leading to smoother 3D geometry and better rendering. Overview of our PM-Loss. The process begins ...

In this work we apply Convolutional Neural Networks (CNNs) on the challenging task of both 2D and 3D face recognition. We constructed two CNN models, namely CNN-1 (two convolutional layers) and CNN-2 ...

However, existing IRT techniques can only produce 2D results of subsurface structures ... high-resolution photothermal tomographic technique that can detect subsurface 3D structures of materials with ...