Results 91 to 100 of about 44,987 (258)

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen   +13 more
wiley   +1 more source

Remember self-archiving

open access: yes, 2008
Danah Boyd, open-access is the future: boycott locked-down academic journals, <em> Apophenia </em> , February 6, 2008.  Excerpt: <strong> Comment </strong> .  I support most of Danah&#39;s suggestions, I strongly support OA journals, and I&#39;m glad to see that her post has created good buzz in the academic ...
openaire   +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

Self-archiving for flourishing

open access: yes, 2006
Renate Ell, Publish or perish: self-archive to flourish, a posting on the ESOF2006 Conference blog, April 26, 2006.
openaire   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Conceptualising quality early childhood education: Learning from young children in Brazil and South Africa through creative and play‐based methods

open access: yesBritish Educational Research Journal, EarlyView., 2023
Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright   +8 more
wiley   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti   +6 more
wiley   +1 more source

Self-archiving for economists

open access: yes, 2008
Supplementary Open Access, <em> The RePEc blog </em> , January 23, 2008.
openaire   +1 more source

The EPrints story: Southampton as the cradle of institutional self-archiving / Die EPrints-Story: Southampton – die Wiege der institutionellen Selbstarchivierung

open access: yesGMS Medizin – Bibliothek – Information, 2009
The idea of institutional self-archiving was conceived 15 years ago, has gained momentum and is here to stay. It is inseparably linked to one of the movement’s pioneers, the University of Southampton, UK.
Gumpenberger, Christian
doaj  

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source

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