Results 41 to 50 of about 2,762 (268)

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

open access: yesAIChE Journal, EarlyView.
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

open access: yesEstudos Semióticos, 2014
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

open access: yesAIChE Journal, EarlyView.
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

open access: yesRevista Científica Ciencia y Tecnología, 2018
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

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

open access: yesAdvanced Intelligent Discovery, EarlyView.
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]

open access: yes, 2010
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‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

open access: yesArchai: Revista de Estudos sobre as Origens do Pensamento Ocidental, 2018
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

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

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