Results 301 to 310 of about 1,221,513 (328)

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

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert‐Like Systems Engineering Artifacts and a Characterization of Failure Modes

open access: yesSystems Engineering, EarlyView.
ABSTRACT Multi‐purpose large language models (LLMs), a subset of generative artificial intelligence (AI), have recently made significant progress. While expectations for LLMs to assist systems engineering (SE) tasks are paramount; the interdisciplinary and complex nature of systems, along with the need to synthesize deep‐domain knowledge and ...
Taylan G. Topcu   +3 more
wiley   +1 more source

Reward Design Using Large Language Models for Natural Language Explanation of Reinforcement Learning Agent Actions

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Reinforcement learning (RL) has found applications across diverse domains; however, it grapples with challenges when formulating reward functions and exhibits low exploration efficiency. Recent studies leveraging large language models (LLMs) have made strides in addressing these issues.
Shinya Masadome, Taku Harada
wiley   +1 more source

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