Results 121 to 130 of about 57,522 (246)

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender   +2 more
wiley   +1 more source

Dysregulated circRNA Expression in Juvenile Myoclonic Epilepsy. [PDF]

open access: yesNeuromolecular Med
Söylemez F   +3 more
europepmc   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa   +3 more
wiley   +1 more source

The CAT(0) dimension of 3-generator Artin groups

open access: yes, 2002
The three generator Artin groups A(m,n.2) are known to be have CAT(O) dimension strictly greater than two if both m and n are odd [BC]. In Chapter 1 we introduce the notions of CAT(O) dimension and three generator Artingroups.In Chapter 2 we show that if
Hanham, Paul Edward
core  

Thalamocortical circuits in idiopathic generalized epilepsies with different subsyndromes and preserved global functional architecture. [PDF]

open access: yesChin Med J (Engl)
Yang M   +10 more
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone   +11 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Negotiating contested spaces and places: Narratives of social suffering and resistance in racialized Cape Town communities

open access: yesAmerican Journal of Community Psychology, EarlyView.
Abstract This study employs a schizocartographic approach to explore community narratives of space, memory, and violence in Kraaifontein, Cape Town. Through participants' accounts, ordinary places—gardens, shops, blocks, sports grounds, and streets—emerge as ambivalent geographies where trauma, resilience, and belonging intersect.
Guido Veronese   +2 more
wiley   +1 more source

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