Results 201 to 210 of about 21,507 (253)

Finsler fractional anisotropy (FFA): a directionally sensitive descriptor for multi-fiber white matter characterization in HARDI. [PDF]

Sci Rep
Bansal A, Kaushik S, Kubíček J, Garg S, Slovák J.   +4 more
europepmc   +1 more source

Geometric Microstructural Characteristics of White Matter Differentiate Patients With Facial Dyskinesias and Palsy. [PDF]

CNS Neurosci Ther
Zhu H, Yang A, Luan J, Xu M, Liu B, Lv K, Hu P, Shmuel A, Zhu H, Yuan Z, Shu N, Cheng J, Ma G.   +12 more
europepmc   +1 more source

Effects of Particle Size and Replacement Ratio of Ceramsite on Permeability Characteristics of Lightweight Concrete via Pore Structure and Fractal Approach. [PDF]

Materials (Basel)
Liu Z, Xu Y, Zhuang S, Ren J.
europepmc   +1 more source

Hooked hairs: A cellular key adaptation aiding seedling survival in nutrient-limited and drought conditions. [PDF]

Sci Adv
Cervantes-Pérez SA, Roy A, Bralick A, Pietrzyk P, Thibivilliers S, Libault M, Bucksch A.   +6 more
europepmc   +1 more source

Enhancing Nutritional Ingestive Behavior Microstructure Detection: Video Annotation and Passive Sensing Approaches. [PDF]

Nutrients
Melanson KJ, Thomaz E, DeSalvo N, Arvonen CJ, Akinkurolere AJ, Walls TA.   +5 more
europepmc   +1 more source

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Classification and quantification of microstructures in steels

Materials Science and Technology, 2004
AbstractThe International Institute of Welding (IIW) microstructure classification scheme for ferrous weld metals has been investigated as a basis for the quantification of complex microstructures in steels. The aim has been to cover the full range of microstructures observed in plain carbon and low alloy steel products, as well as ferritic weld metals
G Thewlis
exaly   +2 more sources

Advanced microstructure classification by data mining methods

Computational Materials Science, 2018
Abstract The mechanical properties of modern multi-phase materials significantly depend on the distribution, the shape and the size of the microstructural constituents. Thus, quantification and classification of the microstructure are decisive in identifying the underlying structure-property relationship of a specific material.
Dominik Britz, Jessica Gola, Frank Mücklich   +2 more
exaly   +2 more sources

Texture Classification in Microstructure Images of Advanced Materials

2008 IEEE Southwest Symposium on Image Analysis and Interpretation, 2008
In this paper we discuss texture classification of microstructural images used in the development of advanced materials. Different materials or different phases of a material in a sample lead to different textures in images of that sample. We investigate the application of the expectation-maximization/ maximization of the posterior marginal (EM/MPM ...
Mary Comer
exaly   +2 more sources

Microstructure classification in the unsupervised context

Acta Materialia, 2020
Traditional microstructure classification requires human annotations provided by a subject matter expert. The requirement of human input is both costly and subjective and cannot keep up with the current volume of experimentally and computationally generated microstructure images. In this work, we develop a framework that is capable of reducing the cost
Courtney Kunselman, Sofia Sheikh, Madalyn Mikkelsen, Vahid Attari, Raymundo Arróyave   +4 more
openaire   +1 more source