IEEE

An Adaptive Sampling Method Based on Expected Improvement Function and Residual Gradient in PINNs

Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...
Nature

A scalable approach to investigating sequence-to-function predictions from personal genomes

Sequence-to-function (S2F) models can evaluate arbitrary DNA sequences, yet they struggle to fully capture inter-individual variation in gene expression. We introduce SAGE-net, a scalable framework ...
GitHub

JavaScript captcha solver (Node.js): Bypass reCAPTCHA, Cloudflare, GeeTest and more

Use the JavaScript captcha solver to automatically bypass any captcha - including reCAPTCHA v2, Invisible, v3, Enterprise, Cloudflare Turnstile, GeeTest sliders, Amazon WAF, FunCaptcha, and both image ...
IEEE

Verification on Head-Related Transfer Functions of a Snowman Model Simulated Using the Finite-Difference Time-Domain Method

Abstract: Although finite-difference time-domain (FDTD) simulations are extensively used in acoustics, studies assessing the reliability and the accuracy of the implemented method are scarce. Moreover ...