This paper investigates the development and application of four machine learning models designed to enhance personalized health management, specifically targeting young adults aged 15–30. The research ...

Deploying deep neural network (DNN) models on Microcontroller Units (MCUs) is typically limited by the tightness of the SRAM memory budget. Previously, machine learning system frameworks often ...

DeePMD-kit Version 3.1.0 Backend and its version TensorFlow Python Version, CUDA Version, GCC Version, LAMMPS Version, etc Python Version: 3.13 CUDA Version: 12.8 GCC & G++ : 9 GROMACS Version: 2020.2 ...

This project involves the development of a lexer and parser using Python, aimed at providing foundational components for a compiler or interpreter. The primary goals are to implement a lexical ...

Development and validation of a perioperative risk prediction model for pressure ulcers in neurosurgical procedures: a machine learning approach with protocol compliance metrics ...