Results 141 to 150 of about 8,451,453 (309)
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Temporal and state abstractions for efficient learning, transfer, and composition in humans. [PDF]
Psychol Rev, 2021 Xia L, Collins AGE.
europepmc +1 more source
The influence of return bends on the downstream pressure drop and condensation heat transfer in tubes [PDF]
, 1971 The influence of return bends on the downstream pressure drop and heat transfer coefficient of condensing refrigerant R-12 was studied experimentally. Flow patterns in glass return bends of 1/2 to 1 in. radius and 0.315 in. I. D.
Traviss, Donald P., Rohsenow, Warren M.
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Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Energy transfer, Dakota Access Pipeline Project
Energy T ransfer Dakota Access Pipeline Project August 20, 2014 ENERGY TRANSFER USAGE DAPL0071137Suggested Meeting Agenda Introduction of Attendees Project Description Iowa and Illinois Counties Being Crossed USACE Jurisdictional Boundaries/Buffers ...
Energy Transfer Partners, L.P.;
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Transfer Learning with Spinally Shared Layers [PDF]
Transfer-learned models have achieved promising performance in numerous fields. However, high-performing transfer-learned models contain a large number of parameters.
Mondal, Subrota Kumar +4 more
core +1 more source
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Mobile language app learners’ self-efficacy increases after using generative AI
Frontiers in EducationIntroductionAlthough generative artificial intelligence (AI) is ubiquitous, there is little research on how it supports self-efficacy (learners’ belief that they can perform at a particular level on a specific task).
Audrey K. Kittredge +5 more
doaj +1 more source
Design and Analysis of Metal Oxides for CO2 Reduction Using Machine Learning, Transfer Learning, and Bayesian Optimization. [PDF]
ACS Omega, 2022 Iwama R +5 more
europepmc +1 more source
Transfer in Reinforcement Learning via Shared Features
, 2012 We present a framework for transfer in reinforcement learning based on the idea that related tasks share some common features, and that transfer can be achieved via those shared features.
Scheidwasser, Ilya +2 more
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