College Football Playoff controversy: Time for Big Ten commissioner Petitti to explain his radical proposal Big Ten commissioner Tony Petitti has remained in the shadows as others debate his idea ...

Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, significant ...

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...

Spectrum sensing in cognitive radio presents a challenge in overcoming the spectrum scarcity caused by the rapid growth of wireless devices. Deep learning (DL) and machine learning (ML) are trending ...

This code example demonstrates how to run through the ModusToolbox Machine Learning (MTB-ML) development flow with PSoC 6 MCU, where the end user has a pre-trained Neural Network (NN) model, which can ...