Results 41 to 50 of about 2,762 (268)
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
Sobre a categorização social na imagem científica
A imagem científica é aqui tratada enquanto sistema de significação (Groupe μ 1992, 1998) e, como tal, defendemos que comporta implícitos inerentes impressos pelas categorizações sociais dominantes no espaçotempo de sua proposição.
Elizabeth Harkot-de-La-Taille
doaj +1 more source
Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley +1 more source
La universidad; del paradigma gnoseológico a la episteme
Las instituciones de educación superior están regidas por el nuevo marco legal el mismo que determina su accionar en la comunidad, de esto depende el progreso o estancamiento de la población.
Nuri Vera Campuzano +2 more
doaj +1 more source
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source
From Epistemic Expressivism to Epistemic Inferentialism [PDF]
Abstract This chapter explains my reasons for endorsing an inferentialist rather than an expressivist form of nondescriptivism about epistemic discourse. Epistemic inferentialism is the view that epistemic claims mean what they do in virtue of the inferential responsibilities and entitlements one commits to in making them, rather than ...
openaire +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Platão e a definição tradicional de conhecimento
Nos diálogos de Platão, Sócrates frequentemente contrasta a opinião (doxa) ao conhecimento (episteme), como uma forma falível de cognição a uma infalível.
José Lourenço Pereira da Silva
doaj +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source

