Results 121 to 130 of about 987,533 (242)
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
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
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
Some Results of Fermatean Fuzzy Set on Subalgebras and Ideals of Bn-Algebras. [PDF]
Derso D, Tefera G, Assen Teshome E.
europepmc +1 more source
Fuzzy Γ-ideals in Γ-AG-groupoids
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
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
Author Correction: Generalized roughness of three dimensional (∈, ∈ ∨ q) fuzzy ideals in terms of set‑valued homomorphism. [PDF]
Bashir S +5 more
europepmc +1 more source
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
Generalized roughness of three dimensional ( ∈ , ∈ ∨ q )-fuzzy ideals in terms of set-valued homomorphism. [PDF]
Bashir S +5 more
europepmc +1 more source
(Fuzzy) Ideals of BN-Algebras. [PDF]
Dymek G, Walendziak A.
europepmc +1 more source

