However, attaining high accuracy in radio propagation modeling at complex settings (e.g., an urban setting with many buildings and obstacles) has required ray tracing, which computationally complex.

In network science and the data mining field, a long-lasting and significant task is to predict the propagation capability of nodes in a complex network. Recently, an increasing number of unsupervised ...

To investigate the intrinsic role of EPS in fouling, a predictive membrane fouling model was developed using a supervised learning algorithm trained on experimental EPS data sets. After hyperparameter ...

c machine-learning qt cmake opengl cpp robotics boost matrix modern-cpp cuda matrix-factorization matrix-functions matrix-multiplication discrete-mathematics graph-theory cv2 back-propagation ...