Results 161 to 170 of about 3,182,929 (347)
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
A granular computing approach to data engineering
, 2010 [[abstract]]Granular computing is about computing with proper information granules for dealing with incomplete, uncertain or vague information. One of the main tasks in data engineering is concerning with data reduction.
Chang, Fengming M. ; Chan, Chien-Chung
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Creep‐Induced Microstructural Evolution in an A2‐B2 Superalloy
Advanced Engineering Materials, EarlyView.A 27.3Ta‐27.3Mo‐27.3Ti‐8Cr‐10Al (at.%) refractory high‐entropy alloy with precipitation‐strengthened A2‐B2 microstructure was studied by creep tests at 1030°C, which demonstrate a transition in deformation mechanisms in the range of 100–150 MPa applied stress. This is associated with changes in dislocation–precipitate interactions. Relevant deformation
Liu Yang +10 more
wiley +1 more source
Rough - granular computing in knowledge discovery and data mining
, 2008 This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative ...
Stepaniuk, J
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Granular computing based machine learning: a big data processing approach
This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e., the five Vs—Volume, Velocity, Variety, Veracity and ...
Liu, Han, Cocea, Mihaela
core +1 more source
Granular computing in mosaicing of images from capsule endoscopy. [PDF]
Nat Comput, 2015 Maciura L, Bazan JG.
europepmc +1 more source
Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A
Advanced Engineering Materials, EarlyView.The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han +5 more
wiley +1 more source
, 2014 -The primary goal of this paper is to develop knowledge approximations and representations on binary relation from the view of granular computing (GrC).
Tsau Young Lin, Gang Xie, Zehua Chen
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Granular computing with multiple granular layers for brain big data processing. [PDF]
Brain Inform, 2014 Wang G, Xu J.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source