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: To estimate time-varying MIMO channel at base station, traditional downlink (DL) channel restoration schemes usually require the reconstruction for the covariance of downlink process noise ...
Forbes contributors publish independent expert analyses and insights. Tim Keary is a reporter covering enterprise AI adoption. This voice experience is generated by AI. Learn more. This voice ...
Beta blockers represent an important class of antihypertensive agents, but comparative data on different beta blockers in the treatment of hypertension remain limited. Nebivolol, a third‐generation ...
SCAPE is a tool for estimating alternative polyadenylation (APA) events from single-end or pair-end scRNA-seq data (10x, Microwell-seq). The scRNA-seq must be generated by protocols based on polyT ...
Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability of decision ...
Abstract: In this paper, the novel extended space-alternating generalized expectation-maximization (SAGE) algorithm, providing joint propagation channel multi-path component (MPC) estimation and ...
Psychological stress reactions to the COVID-19 pandemic are complex and multifaceted. Research provides evidence of a COVID Stress Syndrome (CSS), consisting of (1) worry about the dangerousness of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results