GitHub

Hansen Solubility Parameters in Python.

HSPiPy is a Python library designed for calculating and visualizing Hansen Solubility Parameters (HSP). It provides machine-learning–friendly estimators, convenient data import, and plotting tools for ...
GitHub

Bright Data Python SDK

The official Python SDK for Bright Data APIs. Scrape any website, get SERP results, bypass bot detection and CAPTCHAs, and access 100+ ready-made datasets. For non-blocking web scraping, use ...
IEEE

Machine Learning-Based Noise Classification for Automotive Power Seat DC Motors Using Multi-Feature Representations from Accelerometer Data

Abstract: This study presents a machine learning-based approach for classifying noise types in automotive power seat DC motors using vibration data captured via a piezoelectric accelerometer. To ...
Journal of Medical Internet Research

Validation of Ecological Momentary Assessment With Reference to Accelerometer Data: Repeated-Measures Panel Study With Multilevel Modeling

Waist-worn sensors provided by ActiGraph captured accelerometer data while participants completed 3 self-report measures of PA. The multilevel modeling method was used with EMA, GPAQ, and BAR as ...
IEEE

DAS-Accelerometer Data Fusion With Semi-Supervised Graph Variational Autoencoder for In-Service Train Wheel Flat Detection

Abstract: Wheel flats (WF) are a common defect in railway systems, posing risks to operational safety, passenger comfort, and the longevity of infrastructure. Existing detection methods face ...