To better manage these challenges, Microchip Technology (Nasdaq: MCHP) has released the VectorBlox™ 3.0 Accelerator Software Development Kit (SDK) to help simplify FPGA‑based AI implementation and ...
Vector-borne diseases pose growing public health risks, yet reliable forecasting is often hindered by limited data and complex, delayed transmission processes. This study introduces a data-driven ...
Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...
This repository contains an implementation of symmetry-adapted Gaussian Process Regression suitable to perform equivariant learning and prediction of the electron density of molecular and ...
Abstract: In this work, the auxiliary-current vector norm (ACVN)-based method of auxiliary sources (MAS) is extended and employed for the computation of the cutoff wavenumbers (or eigenvalues) of ...
The cross fusion of rehabilitation medicine and computer graphics is becoming a research hotspot. Due to the problems of low definition and unobvious features of the initial video data of medical ...
The pathogenesis and host-viral interactions of the Crimean–Congo hemorrhagic fever orthonairovirus (CCHFV) are convoluted and not well evaluated. Application of the multi-omics system biology ...
We present two fiberized vector magnetic-field sensors, based on nitrogen-vacancy (NV) centers in diamond. The sensors feature sub-nT/ magnetic sensitivity. We use commercially available components to ...
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