Calibrating the system using a bowl of clean water. There is no single parameter that determines the quality of a water sample, so the pollution monitor has no less than five different sensors.

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

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 ...

Outlier or anomaly detection in the sensed data for Internet of Things framework and Wireless Sensor Networks is a growing trend among researchers. Wireless Sensor Networks form the basis for Internet ...

Sensors of any kind, from temperature, flow, shock and vibration, or cameras collect the data necessary for a machine learning system to operate properly.

Soft sensors, also known as virtual sensors, are software that can process hundreds of measurements in combination. Plant managers who want to add soft sensors may be overwhelmed by the scope of ...

AirPollutionPrediction--Using--Machine-Learning Certainly! Here's a detailed description: This Python script integrates sensor data with quality control metrics to predict air quality using machine ...

Machine Learning-Based Physical Activity Recognition Using Wearable Sensor Data Project Overview This project focuses on the classification of physical activities using data collected from wearable ...

A new fabric-based touch sensor used machine learning to control mobile apps, video games and other devices while integrated into clothing.