Results 131 to 140 of about 29,355 (269)

Automated Melanocytic Lesion Classification: Capsule Networks Trained With Synthetic Images Can Outperform Networks Trained With Real Images

open access: yesAustralasian Journal of Dermatology, EarlyView.
ABSTRACT Background/Objectives Convolutional neural networks (CNNs) are known, due to inherent flaws in their design, to be subject to classification error. Many of these shortcomings in classification performance were addressed in 2017 with the introduction of capsule networks (CNs).
Hayley Chai, Stephen Gilmore
wiley   +1 more source

Numerical simulation of AE activity in quasi-brittle materials under compression [PDF]

open access: yes, 2011
A Anzani   +19 more
core   +1 more source

Early Maturation of Heart Rate Variability in Very Preterm Infants Depends on Neonatal Factors and Is Associated With Neurodevelopmental Risk

open access: yesActa Paediatrica, EarlyView.
ABSTRACT Aim This study investigated central autonomic network maturation deviations using a previously defined machine learning model set to estimate a functional maturation age (FMA) from heart rate variability (HRV) analysis. We investigated whether these deviations were associated with maternal, fetal, perinatal, or postnatal complications and with
Léa Bonneau   +9 more
wiley   +1 more source

What can lithics tell us about food production during the transition to farming? Exploring harvesting practices and cultural changes during the neolithic in Southwest Asia: a view from Qminas (north‐western Syria)

open access: yesArchaeometry, EarlyView.
Abstract This study examines the continuity and change in harvesting practices between the Late Pre‐Pottery Neolithic B (LPPNB) and the Early Pottery Neolithic at Qminas, north‐western Levant, through a traceological analysis of flint sickles. By combining qualitative traceological analysis with quantitative functional approaches, we demonstrate that ...
Fiona Pichon   +3 more
wiley   +1 more source

One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley

open access: yesArchaeometry, EarlyView.
ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail   +3 more
wiley   +1 more source

Information and affective valence influence judgments of complexity, liking and understanding

open access: yesBritish Journal of Psychology, EarlyView.
Abstract Visual complexity is a key factor in perceptual and evaluative judgments. People's representation of visual complexity is constructed from quantitative and structural image features, but it is also influenced by familiarity and expertise. We examined how people represent visual complexity and its impact on perception and evaluation, focusing ...
Xiaolei Sun   +3 more
wiley   +1 more source

THE RANDOM ITERATION ALGORITHM [PDF]

open access: yes
In the last decades, many researchers concerned their attention on fractals properties of objects. Fractals can be use to describe natural shapes so their applications are various in many fields such as informatics, economics, engineering, medical ...
Daniela Alexandra CRIŞAN   +1 more
core  

Terrain Synthesis and Authoring based on Iso‐Contours

open access: yesComputer Graphics Forum, EarlyView.
Abstract Digital terrains are central to realistic landscape depiction, yet authoring tools must balance perceptual realism with intuitive artistic control. We propose a compact vector‐based representation that models terrain as nested iso‐contours, inspired by geomorphology and cartography.
B. Huftier   +5 more
wiley   +1 more source

Enchanting the Otherwise: Magical Realism and the Gendered Ontologies of Organizational Becoming

open access: yesGender, Work &Organization, EarlyView.
ABSTRACT This paper enacts a feminist‐posthumanist reimagining of gender as ontological disturbance, using magical realism not as metaphor but as epistemological method. Rejecting representational logics and the managerial rationalities of organizational realism, we advance gender not as identity or role but as spectral interference—a transversal ...
Max Ganzin, Diana Ivanycheva
wiley   +1 more source

Sleep Deprivation in Mice: Looking Beyond the Slow Wave Rebound

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Sleep is a fundamental process supporting the dynamic regulation of neural function. Emerging methods have proposed that the aperiodic components of brain signals (such as the spectral slope, spectral intercept, and spectral knee), in addition to entropy‐based measures, offer robust empirical markers of neural states.
Tárek Zoltán Magyar   +2 more
wiley   +1 more source

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