Results 51 to 60 of about 1,683 (186)
Applied Sciences, 2020 Sentiment analysis is one of the hottest topics in the area of natural language. It has attracted a huge interest from both the scientific and industrial perspective.
Alejandro Rodríguez-González +9 more
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Regional Variance‐Based Sensitivity Analysis and a Study of Regional Equifinality
Risk Analysis, Volume 46, Issue 10, October 2026.ABSTRACT Models in risk analysis frequently exhibit nonlinear behavior, thresholds, and regime shifts, which challenge conventional global sensitivity analysis (GSA) paradigms. Classical variance‐based methods quantify input importance over the entire output space, which can mask how these sensitivities vary across regions that are most relevant for ...
Justus Helo +3 more
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Support for Visual Languages Evolution in DSM-platform QReal
Моделирование и анализ информационных систем, 2014 Like other software artefacts, DSMLs evolve in time. When a DSML changes, instance models might no longer conform to the new DSML metamodel and hence cannot be manipulated with a modelling tool.
T. Y. Agapova, T. A. Bryksin
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Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review
Systems Engineering, Volume 29, Issue 5, Page 975-1017, September 2026.ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso +4 more
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Journal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.Abstract Background Accurate and rapid diagnosis of meniscal tears is crucial for effective management of sports‐related injuries and degenerative knee disorders. Magnetic resonance imaging (MRI) is widely used for meniscus evaluation; however, manual interpretation is time‐consuming and subject to inter‐observer variability.
Ebubekir Seyyarer +2 more
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Advances in Mechanical Engineering, 2016 The Monte Carlo simulation method for turbomachinery uncertainty analysis often requires performing a huge number of simulations, the computational cost of which can be greatly alleviated with the help of metamodeling techniques. An intensive comparative
Yaping Ju, Chuhua Zhang, Lin Ma
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ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Volume 106, Issue 8, August 2026.ABSTRACT Auxetic cellular structures, which exhibit a negative Poisson's ratio, are conventionally designed manually, one topology at a time. This paper presents a generative design framework in which a convolutional variational autoencoder (VAE) with a low computational cost, trained on 31,920 solid isotropic material with penalisation (SIMP ...
Nguyen Dinh Khoa +3 more
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IEEE Access, 2019 The increasing penetration of uncontrollable distributed generators (NDGs) exacerbates the risk of voltage violations in active distribution networks (ADNs).
Peng Li +5 more
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Multi-Objective Optimization of Production Objectives Based on Surrogate Model
Applied Sciences, 2020 The article addresses an approximate solution to the multi-objective optimization problem for a black-box function of a manufacturing system. We employ the surrogate of the discrete-event simulation model of a batch production system in an analytical ...
Zuzana Červeňanská +4 more
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Journal of Linguistic Anthropology, Volume 36, Issue 2, August 2026.Abstract This article examines how openness is interpreted in human–LLM interaction through an ethnographic study of a robotics experiment. Focusing on an episode in which a robot produced an unexpected utterance, I analyze how engineers classify the output as inconsequential noise.
Raffaele Andrea Buono
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