Emotion recognition is of great importance for human-computer interaction. Emotion recognition technology based on physiological signals has shown great potential because of its strong objectivity and ...

WASHINGTON — Lockheed Martin is launching a new initiative called “AI Fight Club,” a virtual battleground where companies can test their artificial intelligence algorithms for use in ...

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 ...

Learning project for clustering Fashion-MNIST images using dimensionality reduction techniques (PCA, Autoencoder) and clustering algorithms (MiniBatch KMeans, DBSCAN). Includes visual and metric-based ...

In other words, cryptanalysts and quantum researchers have not been able to devise an efficient quantum algorithm capable of solving the LWE problem and, hence, FrodoKEM. In cryptography, absolute ...

In this paper, we propose a cell scene division and visualization method based on autoencoder and K-means algorithm. We train an autoencoder network to conduct the dimension reduction of the wireless ...