Abstract: Hyperspectral unmixing (HU) aims to decompose mixed pixels into their constituent spectral signatures and estimate their corresponding fractional abundances. Recently, the nonlinear spectral ...
Abstract: There is a rising necessity to enhance advanced methods of image processing through the noise reduction using improved neural network topologies. Autoencoder networks, untied types of neural ...
A comprehensive Edge AI and IoT anomaly detection system designed for research and educational purposes. This project demonstrates real-time anomaly detection using autoencoder-based models optimized ...