Abstract: In this paper, parameter estimation of linear frequency modulation (LFM) signals containing additive white Gaussian noise is studied. Because the center ...

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 ...

{EpiNow2} estimates the time-varying reproduction number, growth rate, and doubling time using a range of open-source tools (Abbott et al.), and current best practices (Gostic et al.). It aims to help ...

Abstract: Conventional space-time adaptive processing suffers from the requirement of a large number of secondary samples. In this paper, a novel method is proposed to accurately estimate the clutter ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, announced that they are researching the use of neural ...

Prompt engineering tools help optimize AI-generated responses. Discover the best tools, compare features, and find the right ...

One of the early products of the Chronic Kidney Disease in Children (CKiD) study has been an updated equation for estimating GFR in children on the basis of demographic and laboratory parameters. This ...

Just saying the words "data center" will elicit some response nowadays.

Biologists group animals with similar traits into broad categories called orders. Despite their similarities, animal species ...

Who knew you could make money milking snakes, tasting pet food, or being a professional cuddler? It turns out that nowadays, ...

California's 2026 Billionaire Tax sounds simple — but experts warn the ripple effects could cost non-billionaires via lost ...