Results 131 to 140 of about 1,803,229 (305)
Advanced Engineering Materials, EarlyView.CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source
Multi-attribute Group Decision Making Based on Granular Computing
工程科学与技术, 2013 :By simulating the process of human thinking,a solving method for multi-attribute group decision making problem based on granular computing was proposed. Firstly, mathematical description of granular computing structure model was discussed.
谭旭, 毛太田, 张少丁, 邹凯
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Advanced Engineering Materials, EarlyView.This study examines Invar composites reinforced with titanium carbide (TiC) and titanium nitride (TiN) using laser powder bed fusion (LPBF). It presents the influence of reinforcements on microstructure, tensile properties, and thermal expansion. Results show that TiC effectively strengthens Invar while maintaining low thermal expansion, whereas TiN ...
Ayodeji Nathaniel Oyedeji +3 more
wiley +1 more source
On granular rough computing with missing values
, 2007 . Granular Computing as a paradigm in Approximate Reasoning is concerned with granulation of available knowledge into granules that consists of entities similar with respect to a chosen measure in information content and with computing on such granules ...
Piotr Artiemjew, Lech Polkowski
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Advanced Engineering Materials, EarlyView.Gallium microalloying redirects interfacial reactions in low‐temperature Bi–Sn solders from Cu–Sn toward Cu–Ga intermetallic formation. The resulting Cu–Ga layer suppresses intermetallic growth during thermal aging, alters fracture pathways, and improves interfacial stability.
Iva Králová +6 more
wiley +1 more source
, 2014 -LNS is a generalization of topological neighborhood system(TNS) by simply dropping all axioms of topology but the superset axiom. The goal of this paper is to show that LNS is the "correct " granule for granular computing (GrC) and Granular ...
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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
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Data Mining, Rough Sets and Granular Computing
, 2002 During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a ...
Zadeh, Lotfi A. +2 more
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A Novel Approach to Estimate the Transition Temperature via Dynamic Nanoindentation
Advanced Engineering Materials, EarlyView.A new dynamic nanoindentation‐based method was developed that uses the stiffness ratio as an indicator of the elastic–plastic deformation contributions at different temperatures. The approach successfully identified transition temperatures in ferritic steel and distinguished them from continuously ductile austenitic steel.
Stefan Zeiler +4 more
wiley +1 more source
Toward a Theory of Granular Computing
, 2008 — A theory of granular computing is presented. Some classical example are examined to obtain the hint of new directions Obvious examples are dynamic programming, fuzzy numbers, infinitesimal number and access control model, (pre-)topological spaces are ...
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