Results 121 to 130 of about 5,885,991 (322)
On Leveraging Machine Learning in Sport Science in the Hypothetico-deductive Framework
Sports Medicine - OpenSupervised machine learning (ML) offers an exciting suite of algorithms that could benefit research in sport science. In principle, supervised ML approaches were designed for pure prediction, as opposed to explanation, leading to a rise in powerful, but ...
Jordan Rodu +3 more
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Do more with less: Exploring semi-supervised learning for geological image classification
Applied Computing and GeosciencesLabelled datasets within geoscience can often be small, with data acquisition both costly and challenging, and their interpretation and downstream use in machine learning difficult due to data scarcity.
Hisham I. Mamode +2 more
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Multiscale Modeling of Process‐Induced Defects in Fused Filament Fabrication‐Printed Materials
Advanced Engineering Materials, EarlyView.This study presents a predictive multiscale modeling tool for defect analysis of fused filament fabricated‐printed materials and their performance prediction using a mechanistic data science‐based reduced‐order modeling approach. Process‐induced defects are inherent to additively manufactured parts and significantly influence the performance of printed
Satyajit Mojumder +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay +3 more
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Advanced Engineering Materials, EarlyView.A multimaterial approach is introduced to improve upon auxetic structures by combining two different polymers into the same reentrant honeycomb structure via additive manufacturing. The deformation behavior as well as the resulting Poisson's ratio are thereby improved significantly.
Alexander Engel +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This review explores wafer bonding technologies, covering wafer preparation, activation methods, and bonding mechanisms. It compares direct and indirect bonding, highlights recent advancements and future trends, and examines applications in 3D integration and packaging.
Abdul Ahad Khan +5 more
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ASSESSING STUDENT OUTCOMES: PERFORMANCE ASSESSMENT USING THE DIMENSIONS OF LEARNING MODEL, Marzano, Robert J., D. Pickering et J. McTighe, Alexandria (Virginia), Association for Supervision and Curriculum Development, 1993, 138 pages [PDF]
, 1996 Dominique. Morissette
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Advanced Engineering Materials, EarlyView.The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
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Supervised Learning from Clustered Input Examples [PDF]
, 1995 Carmela Marangi +2 more
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Advanced Engineering Materials, EarlyView.Scanning transmission electron microscopy imaging techniques are an essential tool to document dynamic developments, such as precipitation in aluminum alloys, during in situ heating experiments using transmission electron microscopy. However, in many cases, chemical information is required to interpret complex nanoscale processes.
Evelin Fisslthaler +4 more
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