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 ...
Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...
Abstract: Deploying feeder links (i.e., between satellites and ground stations) at Ka-band is becoming a popular option among satellite operators thanks to its consolidated technology maturity level.
Looks like fans of Ballard won’t be left in the lurch after Season 1’s bombshell cliffhanger: The detective drama is set to come back for more. “We’re so grateful to have the chance to continue ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results