The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...

Objective: This study aims to construct a diagnostic model for diabetic kidney disease (DKD) with concurrent vascular calcification (VC) using bioinformatics combined with machine learning approaches ...

Mixed materials, such as concrete, are composed of different components that are scattered randomly. Determining where each part ends up, whether in concrete or underground rock, can help scientists ...

These are no longer questions reserved for diplomats, aid workers, or journalists. Increasingly, they’re being posed to chatbots. In fragile states where institutions are fractured and official ...

Abstract: The Hidden Markov Process (HMP) has been widely used to model radar pulse sequences. For the radar signal deinterleaving task in an electronic reconnaissance system, the intercepted radar ...

In the rapid development of vehicular networks, the exchange of information between vehicles and between vehicles and the infrastructure is becoming increasingly frequent. Vehicle location data have ...

Abstract: Hidden Markov Models (HMMs) are powerful tools for modeling sequential data, where the underlying states evolve in a stochastic manner and are only indirectly observable. Traditional HMM ...