Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

Machine learning exercises follow a circular pattern. First, data is prepared and cleaned. Next, a data scientist will select an algorithm to use as the basis for the model. Then, a data scientist ...

This Python script integrates sensor data with quality control metrics to predict air quality using machine learning algorithms. It begins by loading and preprocessing data from CSV files, merging ...

This project focuses on the classification of physical activities using data collected from wearable sensors. The data was gathered using the Trivisio Colibri Wireless unit, which includes IMUs ...

We present approaches for gesture classification and gesture segmentation by using machine learning on the Kinect sensor's data stream. Our work involved three phases. Firstly we developed gesture ...

Human activity detection from sensor data has developed as a critical study subject with far-reaching implications in healthcare, sports, security, and beyond. This study proposes a unique way to ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

Machine learning used to create a fabric-based touch sensor. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 04 / 240417182756.htm ...