Results 221 to 230 of about 1,925,109 (294)

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

open access: yesJournal of Microscopy, EarlyView.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz   +4 more
wiley   +1 more source

Tensor Changepoint Detection and Eigenbootstrap

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta   +2 more
wiley   +1 more source

Machine learning predictions from unpredictable chaos. [PDF]

open access: yesJ R Soc Interface
Jiang J   +9 more
europepmc   +1 more source

Aspect perception and rule‐following in Wittgenstein's Philosophical Investigations

open access: yesPhilosophical Investigations, EarlyView.
Abstract This paper aims to highlight a distinctive, projective, mode of aspect perception within Wittgenstein's philosophy that has gone underappreciated in the scholarly literature. Although it bears a family resemblance to other instances of the phenomenon Wittgenstein describes as ‘noticing an aspect’ in PI Part II §113, it is distinctive in that ...
James Connelly
wiley   +1 more source

Evaluating LLMs on Kazakhstan's mathematics exam for university admission. [PDF]

open access: yesFront Artif Intell
Kadyrov S   +5 more
europepmc   +1 more source

Nonparametric inference for Poisson‐Laguerre tessellations

open access: yesScandinavian Journal of Statistics, EarlyView.
Abstract In this paper, we consider statistical inference for Poisson‐Laguerre tessellations in ℝd$$ {\mathbb{R}}^d $$. The object of interest is a distribution function F$$ F $$ which describes the distribution of the arrival times of the generator points.
Thomas van der Jagt   +2 more
wiley   +1 more source

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