Results 121 to 130 of about 987,533 (242)

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu   +11 more
wiley   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

open access: yesAdvanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh   +3 more
wiley   +1 more source

Four‐Dimensional Electrochemiluminescence Microscopy Enables Depth‐Resolved Imaging of Single, Living Spheroids

open access: yesAngewandte Chemie, EarlyView.
A hybrid “confocal” electrochemiluminescence (ECL) microscopy combines depth‐resolved and time‐resolved imaging to visualize ECL processes across three spatial dimensions and time. By exploiting sluggish coreactant kinetics at ITO electrodes, homogeneous redox propagation enables depth‐resolved, single‐cell resolution mapping of living multicellular ...
Elisa D'Arrigo   +4 more
wiley   +2 more sources

Fuzzy Γ-ideals in Γ-AG-groupoids

open access: yes, 2014
In this paper we study fuzzy Γ-ideals and prime, semiprime fuzzy Γ-ideals of a Γ-AG-groupoid S. We prove that, if S is a Γ-AG-groupoid with left identity, then every fuzzy Γ-ideal of S is idempotent if and only if every fuzzy Γ-ideal of S is semiprime ...
Tariq Shah, Inayatur-Rehman, Asghar Khan
core  

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

(Fuzzy) Ideals of BN-Algebras. [PDF]

open access: yesScientificWorldJournal, 2015
Dymek G, Walendziak A.
europepmc   +1 more source

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