Results 11 to 20 of about 3,210,284 (267)

Machine Learning-Based Classification of Dislocation Microstructures [PDF]

Frontiers in Materials, 2019
Dislocations—the carrier of plastic deformation—are responsible for a wide range of mechanical properties of metals or semiconductors. Those line-like objects tend to form complex networks that are very difficult to characterize or to link to macroscopic
Dominik Steinberger, Hengxu Song, Stefan Sandfeld   +2 more
doaj   +3 more sources

Deep learning with diffusion MRI as in vivo microscope reveals sex-related differences in human white matter microstructure

Scientific Reports
Biological sex is a crucial variable in neuroscience studies where sex differences have been documented across cognitive functions and neuropsychiatric disorders.
Junbo Chen, Vara Lakshmi Bayanagari, Sohae Chung, Yao Wang, Yvonne W. Lui   +4 more
doaj   +2 more sources

Overview: Machine Learning for Segmentation and Classification of Complex Steel Microstructures

Metals
The foundation of materials science and engineering is the establishment of process–microstructure–property links, which in turn form the basis for materials and process development and optimization.
Martin Müller, Marie Stiefel, Björn-Ivo Bachmann, Dominik Britz, Frank Mücklich   +4 more
doaj   +2 more sources

Microstructural Classification of Bainitic Subclasses in Low-Carbon Multi-Phase Steels Using Machine Learning Techniques

Metals, 2021
With its excellent property combinations and ability to specifically adjust tailor-made microstructures, steel is still the world’s most important engineering and construction material. To fulfill ever-increasing demands and tighter tolerances in today’s
Martin Müller, Dominik Britz, Thorsten Staudt, Frank Mücklich   +3 more
doaj   +1 more source

Determining the Resource of Safe Operation for Objects by Images [PDF]

E3S Web of Conferences, 2020
In this paper, a systematic study of the microstructure damage process of metals and alloys was carried out. The main elements of the microstructure surface image, as well as the rules for the formation and interaction of rough slip traces and cracks to ...
Andreev Vyacheslav, Andreeva Olga, Gai Vasiliy, Berberova Maria   +3 more
doaj   +1 more source

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

MATEC 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, Venkatesh Vasisht, Rettberg Luke, Somanath Nagendra   +3 more
doaj   +1 more source

Classification of Bainitic Structures Using Textural Parameters and Machine Learning Techniques

Metals, 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, Dominik Britz, Laura Ulrich, Thorsten Staudt, Frank Mücklich   +4 more
doaj   +1 more source

Toward Stance Classification Based on Claim Microstructures [PDF]

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2017
Claims are the building blocks of arguments and the reasons underpinning opinions, thus analyzing claims is important for both argumentation mining and opinion mining. We propose a framework for representing claims as microstructures, which express the beliefs, judgments, and policies about the relations between domain specific concepts.
Boltužić, Filip, Šnajder, Jan
openaire   +4 more sources

NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layers

Neural computing & applications (Print), 2023
In the field of nanoscience, the scanning electron microscope (SEM) is widely employed to visualize the surface topography and composition of materials.
P. Barua, M. Kutlu Sengul, Gurkan Kavuran, Turker Tuncer, Ruyan Tan, U. Rajendra Acharya   +5 more
semanticscholar   +1 more source

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

NeuroImage, 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, Paola Galdi, Manuel Blesa Cabez, Gemma Sullivan, David Q Stoye, Alan J Quigley, Michael J Thrippleton, Debby Bogaert, Mark E Bastin, Simon R Cox, James P Boardman   +10 more
doaj   +1 more source