Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: With the rapid development of wireless communication technologies, high-precision channel parameter estimation has become increasingly significant for applications such as positioning and ...

Abstract: This article introduces a new method for designing power amplifiers (PAs) using a flexible, automatic approach. It employs a Gaussian process (GP)-assisted fast nondominated sorting genetic ...

⚙️ Optimize task scheduling in fog computing for better energy use, faster response, deadline compliance, and reduced costs. - divish9123/RIGEO ...