Results 131 to 140 of about 11,715 (267)

Asymptotic stabilization for Bresse transmission systems with fractional damping

open access: yesElectronic Journal of Differential Equations, 2023
Jianghao Hao, Dingkun Wang
doaj  

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo   +3 more
wiley   +1 more source

gnSPADE: Incorporating Gene Network Structures Enhances Reference‐Free Deconvolution in Spatial Transcriptomics

open access: yesAdvanced Intelligent Systems, EarlyView.
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley   +1 more source

Stability of an $N$-component Timoshenko beam with localized Kelvin-Voigt and frictional dissipation

open access: yesElectronic Journal of Differential Equations, 2018
We consider the transmission problem of a Timoshenko's beam composed by N components, each of them being either purely elastic, or a Kelvin-Voigt viscoelastic material, or an elastic material inserted with a frictional damping mechanism.
Tita K. Maryati   +3 more
doaj  

SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water

open access: yesAdvanced Intelligent Systems, EarlyView.
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim   +9 more
wiley   +1 more source

Differentiability, analyticity and optimal rates of decay for damped wave equations

open access: yesElectronic Journal of Differential Equations, 2012
We give necessary and sufficient conditions on the damping term of a wave equation for the corresponding semigroup to be analytic. We characterize damped operators for which the corresponding semigroup is analytic, differentiable, or exponentially ...
Luci Harue Fatori   +2 more
doaj  

A Standardized Framework for Elastomer Characterization in Soft Robotics

open access: yesAdvanced Intelligent Systems, EarlyView.
A unified framework addresses inconsistent elastomer property reporting which limits reproducibility and standardization in soft robotics. Systematic testing of ten elastomers (thermosetting, thermoplastic, and a covalent adaptable network) provides quasielastic mechanical properties, viscoelastic parameters, thermal stability, and processing ...
Ellen Roels   +2 more
wiley   +1 more source

Polynomial decay of correlations of pseudo-Anosov diffeomorphisms

open access: yes
We give a construction of a smooth realization of a pseudo-Anosov diffeomorphism of a Riemannian surface, and show that it admits a unique SRB measure with polynomial decay of correlations, large deviations, and the central limit theorem. The construction begins with a linear pseudo-Anosov diffeomorphism whose singularities are fixed points.
openaire   +2 more sources

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk   +4 more
wiley   +1 more source

Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang   +6 more
wiley   +1 more source

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