Results 111 to 120 of about 3,751 (165)
ABSTRACT Accurate age estimation is essential for understanding life‐history variation, modelling population dynamics and informing conservation strategies, yet remains challenging for long‐lived species. Here, we developed a genome‐wide DNA methylation‐based epigenetic clock for Asian elephants (Elephas maximus), an endangered species, using reduced ...
Kana Arai, Miho Inoue‐Murayama
wiley +1 more source
Stabilization of T-S fuzzy asynchronous Boolean control networks with time delay under noise. [PDF]
Yang F, Sun Y, Zhang C, Su X, Zhang H.
europepmc +1 more source
ABSTRACT Recent advances in text‐to‐image generation have enabled generative models to produce realistic visuals from textual descriptions, transforming creative workflows in domains like fashion. However, these systems may encode and reproduce societal biases, particularly in gender representation.
María Villalba‐Osés +2 more
wiley +1 more source
F<sup>2</sup>-CommNet: Fourier-Fractional neural networks with Lyapunov stability guarantees for hallucination-resistant community detection. [PDF]
Qu D, Ma Y.
europepmc +1 more source
A Fuzzy Radial Basis Adaptive Inference Network and Its Application to Time-Varying Signal Classification. [PDF]
Huang L, Xu S, Liu K, Yang R, Wu L.
europepmc +1 more source
Biodiversity conservation requires effective monitoring of ecological communities in remote locations, where limited accessibility often restricts survey efforts. Passive acoustic monitoring (PAM) is becoming an established method for measuring biodiversity, facilitated by the increased accessibility of autonomous recording units.
Vikram Malhi +6 more
wiley +1 more source
Intelligent evaluation of coal mine solid filling effect using fuzzy logic and improved D-S evidence theory. [PDF]
Zhang Z, Yang S, Liu Y.
europepmc +1 more source
Research on User Behavior Based on Higher-Order Dependency Network. [PDF]
Qian L, Dou Y, Gong C, Xu X, Tan Y.
europepmc +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
The Reasonable Ineffectiveness of Mathematics in the Biological Sciences. [PDF]
Garte S, Marshall P, Kauffman S.
europepmc +1 more source

