Results 121 to 130 of about 2,627 (260)
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
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
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi +5 more
wiley +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
ABSTRACT The present longitudinal study focuses on FMR1 premutation carrier women during midlife and early old age (n = 115). Bringing together the genetic risk factor of a family history of FXTAS and the environmental protective factor of higher education, the goal of the study was to determine how these factors potentially interact to predict self ...
Jinkuk Hong +4 more
wiley +1 more source
The study employed a four‐tiered strategy: (1) UHPLC‐FTMS profiling of Citrus aurantium honey to characterize its chemical composition; (2) network pharmacology analysis integrating target prediction, protein–protein interaction networks, and KEGG pathway enrichment to identify the Thor1/Nprl2‐TORC1 axis as a key mechanistic pathway; (3) in vitro ...
Wenqi Wan +6 more
wiley +1 more source
Bootstrap cascaded multilevel converter
Jose Genaro Gonzalez-Hernandez +6 more
openaire +2 more sources
Retraction Note: Stationary-frame power regulation for controlling grid-connected three-phase modular multilevel converter with low harmonic under unbalanced voltage. [PDF]
Akbari E.
europepmc +1 more source
Abstract This paper examines the gap in number skills between socioeconomically disadvantaged and non‐disadvantaged children in the first year of compulsory schooling in England. Past research mostly relies on statutory assessment data collected towards the end of the first year of school and does not show the attainment gap associated with ...
Martin Culliney, Joanne Robson
wiley +1 more source
Cooperative modular multilevel converter control based on PSO-optimized fuzzy-PI and hierarchical finite-state model predictive control. [PDF]
Liu Y, Tian Y, Zhang W, Wang Y.
europepmc +1 more source

