Results 191 to 200 of about 5,909 (265)

Modeling small-angle scattering data of porous and/or bicontinuous structures in <i>n</i> dimensions. [PDF]

J Appl Crystallogr
Frielinghaus H.
europepmc   +1 more source

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

Archaeometry, 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, Morgan Denyer, Rachel Denyer, Howell Edwards   +3 more
wiley   +1 more source

Quantitative Bone Assessment in Medication-Related Osteonecrosis of the Jaw Using Fractal Analysis: A Systematic Review of the Literature and Clinical Perspectives. [PDF]

Dent J (Basel)
Misiejuk A, Adamska P, Żółtowska A, Zedler A.   +3 more
europepmc   +1 more source

Terrain Synthesis and Authoring based on Iso‐Contours

Computer 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, H. Schott, E. Galin, O. Argudo, A. Peytavie, E. Guérin   +5 more
wiley   +1 more source

Analysis of a class of fractal hybrid fractional differential equation with application to a biological model. [PDF]

Sci Rep
Abdeljawad T, Sher M, Shah K, Sarwar M, Amacha I, Alqudah M, Al-Jaser A.   +6 more
europepmc   +1 more source

SPINE: VAE‐driven Counterfactuals for Decision Boundary Maps

Computer Graphics Forum, EarlyView.
Abstract As Deep Learning models become increasingly complex, Explainable AI becomes essential for deploying machine learning classifiers. Decision Boundary Mapping (DBM) is a technique for visualizing a classifier's global decision boundary. Despite their relative success, current DBM methods rely on global inverse multidimensional projections that ...
I.M. Bloemen, V. Prasad, F. V. Paulovich
wiley   +1 more source

Anxiety, Cognitive Biases, and Evaluative Conditioning: An Eye-Tracking Experiment. [PDF]

Int Rev Soc Psychol
Lazar A, Rougier M, De Houwer J, Perugini M, Rusu A, Sava FA.   +5 more
europepmc   +1 more source

Habitat loss and fragmentation for an old‐forest species is driven by severe wildfire and drought

Conservation Science and Practice, EarlyView.
We examined the long‐term trends in habitat for California spotted owls and attributed habitat changes to specific drivers. We found that the 43% decline in habitat from 1985 to 2022 could primarily be attributed to wildfire and drought. Habitat patches also became smaller and more isolated over time.
Ronan Hart, H. Anu Kramer, Josh Barry, M. Zachariah Peery, Stephanie Eyes, Craig Thompson, Sarah Sawyer, Gavin M. Jones   +7 more
wiley   +1 more source

Prediction of excitable wave dynamics using machine learning. [PDF]

Chaos Solitons Fractals
Mulimani MK, Echeverria-Alar S, Reiss M, Rappel WJ.   +3 more
europepmc   +1 more source

Diagnostic performance of SD‐ΔRR during physical stressors for identifying diabetic sensorimotor polyneuropathy

Journal of Diabetes Investigation, EarlyView.
Study population, methodology and key findings of the study. ABSTRACT Aims This study aimed to evaluate the clinical efficacy of SD‐ΔRR as a novel methodology for short‐duration heart rate variability (HRV) assessment for the diagnosis of diabetic sensorimotor polyneuropathy (DSPN) in patients with diabetes.
Katsuyoshi Katayama, Haruhito A. Uchida, Toshihiko Nagao, Jun Eguchi, Kenji Tsuji, Yoshinori Matsumoto, Ichiro Nojima, Keiko Tanaka, Hidemi Takeuchi, Yasuhiro Onishi, Rika Takemoto, Satoshi Miyamoto, Kenichi Shikata, Jun Wada   +13 more
wiley   +1 more source