Results 11 to 20 of about 21,507 (253)

Recognition and Quantification of Dual Phase Titanium Alloy Microstructures Using Convolutional Neural Networks [PDF]

open access: yesMATEC Web of Conferences, 2020
Recent advances in machine learning and image recognition tools/methods are being used to address fundamental challenges in materials engineering, such as the automated extraction of statistical information from dual phase titanium alloy microstructure ...
Noraas Ryan   +3 more
doaj   +1 more source

Classification of Bainitic Structures Using Textural Parameters and Machine Learning Techniques

open access: yesMetals, 2020
Bainite is an essential constituent of modern high strength steels. In addition to the still great challenge of characterization, the classification of bainite poses difficulties.
Martin Müller   +4 more
doaj   +1 more source

Advanced Steel Microstructural Classification by Deep Learning Methods [PDF]

open access: yesScientific Reports, 2018
AbstractThe inner structure of a material is called microstructure. It stores the genesis of a material and determines all its physical and chemical properties. While microstructural characterization is widely spread and well known, the microstructural classification is mostly done manually by human experts, which gives rise to uncertainties due to ...
Azimi, Seyedmajid   +4 more
openaire   +5 more sources

General factors of white matter microstructure from DTI and NODDI in the developing brain

open access: yesNeuroImage, 2022
Preterm birth is closely associated with diffuse white matter dysmaturation inferred from diffusion MRI and neurocognitive impairment in childhood. Diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) are distinct
Kadi Vaher   +10 more
doaj   +1 more source

Machine Learning Approach to Classify Rain Type Based on Thies Disdrometers and Cloud Observations

open access: yesAtmosphere, 2019
Rain microstructure parameters assessed by disdrometers are commonly used to classify rain into convective and stratiform. However, different types of disdrometer result in different values for these parameters.
Wael Ghada   +2 more
doaj   +1 more source

Classifying coke using CT scans and landmark multidimensional scaling

open access: yesInternational Journal of Coal Science & Technology, 2023
One factor that limits development of fundamental research on the influence of coke microstructure on its strength is the difficulty in quantifying the way that microstructure is both classified and distributed in three dimensions.
Keith Nesbitt   +4 more
doaj   +1 more source

Microstructure quality control of steels using deep learning

open access: yesFrontiers in Materials, 2023
In quality control, microstructures are investigated rigorously to ensure structural integrity, exclude the presence of critical volume defects, and validate the formation of the target microstructure.
Ali Riza Durmaz   +6 more
doaj   +1 more source

Long Longitudinal Tract Lesion Contributes to the Progression of Alzheimer's Disease

open access: yesFrontiers in Neurology, 2020
Background: The degenerative pattern of white matter (WM) microstructures during Alzheimer's disease (AD) and its relationship with cognitive function have not yet been clarified.
Caimei Luo   +43 more
doaj   +1 more source

SEGMENTATION AND ANALYSIS METHOD FOR TWO-PHASE CERAMIC (HfB2-B4C) BASED ON THE DETECTION OF VIRTUAL BOUNDARIES

open access: yesImage Analysis and Stereology, 2019
Microstructure of a material stores the genesis of the material and shows various properties of the material. To efficiently analyse the microstructure of a material, the segmentation of different phases or constituents is an important step.
Yuexing Han   +5 more
doaj   +1 more source

Gluten Polymer Networks—A Microstructural Classification in Complex Systems [PDF]

open access: yesPolymers, 2018
A classification of gluten polymer networks would support a better understanding of structure-function relationships of any gluten polymer material and thus, the control of processing properties. However, quantification and interpretation of the gluten network structures is challenging due to their complexity. Thus, the network formation was altered by
Isabelle Lucas   +2 more
openaire   +2 more sources

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