Results 261 to 270 of about 3,424,284 (379)

Data Interpretation in Structural Health Monitoring: Toward a Universal Language. [PDF]

open access: yesSensors (Basel)
Ruiz M   +3 more
europepmc   +1 more source

Spatiotemporal Interrogation of Single Spheroids Using Multiplexed Nanoplasmonic‐Fluorescence Imaging

open access: yesSmall Methods, EarlyView.
This work introduces a multiplexed imaging platform that integrates nanoplasmonic sensing with fluorescence microscopy for concomitant monitoring of extraspheroid secretions and intraspheroid features over extended periods with spatiotemporal resolution.
Saeid Ansaryan   +7 more
wiley   +1 more source

On the Usability of Reactive Programming APIs: A Mixed Evaluation

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Context Reactive Programming (RP) provides powerful abstractions for managing asynchronous and event‐driven behaviors, but its APIs are often perceived as complex and difficult to use, particularly due to their reliance on functional programming concepts. Objective This study investigates the usability of two prominent JavaScript RP libraries,
Carlos Zimmerle, Kiev Gama
wiley   +1 more source

Artificial intelligence‐based displacement capacity prediction tool for three‐dimensional printed concrete walls

open access: yesStructural Concrete, EarlyView.
Abstract Digital technology applications such as three‐dimensional printers offer novel avenues for automating the construction of concrete structures. The process of 3D printing concrete structures involves designing in an office setting and printing on‐site.
Abdulkadir Ozalp, Alper Aldemir
wiley   +1 more source

Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models

open access: yesStructural Concrete, EarlyView.
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou   +3 more
wiley   +1 more source

Model‐Driven Engineering for Digital Twins: Opportunities and Challenges

open access: yesSystems Engineering, EarlyView.
ABSTRACT Digital twins are increasingly used across a wide range of industries. Modeling is a key to digital twin development—both when considering the models which a digital twin maintains of its real‐world complement (“models in digital twin”) and when considering models of the digital twin as a complex (software) system itself.
Judith Michael   +29 more
wiley   +1 more source

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