Kauai, one of the most remote islands of Hawaii, stands steady among the timeless crash of ocean waves. Electric waves, ...
Modern smartphones are packed with a wide range of sensors, and their magnetometer can successfully identify certain kinds of ...
Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The ...
Abstract: Existing ac/dc power flow computations necessitate sequential convergence-oriented trial-and-error under various dc control modes, rising computational ...
Natural physical networks are continuous, three-dimensional objects, like the small mathematical model displayed here.
The CBSE Class 12 Physics exam is scheduled for February 20, 2026. Experts emphasize understanding concepts, practicing ...
pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...
Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Convolutional Neural Network Architectures for Signals Supported on Graphs," IEEE Trans. Signal Process., vol. 67 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback