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New Neural Network Slashes Sensor Data Overload
It’s a neural network that uses “selective learning” to train on sensor data without using ... still preserving most of the data in your signal.” The researchers theorized this would ...
EurekAlert!3d
Enhancing neural signal fidelity: controlling ultramicroelectrode tip exposure for single-cell recording
Long-term and precise intracellular signal detection is critical for advancing our understanding of brain diseases and ...
Smart humidity sensor monitors human behavior through respiratory patterns
A cutting-edge humidity sensing system has been unveiled, capable of monitoring human behaviors in real-time through the ...
Nanowerk3y
What is smart dust and how is it used?
They call these devices neural dust. Each neural dust sensor consists of only three main parts: a pair of electrodes to measure nerve signals, a custom transistor to amplify the signal, and a ...
EurekAlert!3d
Smart humidity sensor transforms human behavior recognition
A cutting-edge humidity sensing system has been unveiled, capable of monitoring human behaviors in real-time through the ...
Design-Reuse4y
Wind Turbine Fault Detection Using Machine Learning And Neural Networks
4.2 Artificial Neural Networks Artificial neural networks (NNs ... Simulation data from the generator speed sensor is used to develop three signal features. Features are used as input (predictors) and ...