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Comparing transfer learning to feature optimization in microstructure classification [PDF]
iScience, 2022 Summary: Human analysis of research data is slow and inefficient. In recent years, machine learning tools have advanced our capability to perform tasks normally carried out by humans, such as image segmentation and classification.
Debanshu Banerjee, Taylor D. Sparks
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Skin Microstructure Segmentation and Aging Classification Using CNN-Based Models
IEEE Access, 2022 The skin surface is composed of a network-like microstructure comprising wrinkles. Observing and analyzing the microstructure of the skin that changes with the skin condition and aging are simple, stable, and accurate evaluation methods for skin ...
Cho-I Moon, Onseok Lee
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Segmentation and Classification of Zn-Al-Mg-Sn SEM BSE Microstructure
Applied Sciences, 2023 The microstructure of materials is shaped not only by their chemical composition, but also by the thermomechanical processes used during the processing of a specific piece.
Daniel Kuchar +4 more
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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 +2 more
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Single‐channel EEG classification of sleep stages based on REM microstructure [PDF]
Healthcare Technology Letters, 2021 Rapid‐eye movement (REM) sleep, or paradoxical sleep, accounts for 20–25% of total night‐time sleep in healthy adults and may be related, in pathological cases, to parasomnias.
Irene Rechichi +4 more
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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 +3 more
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Metals, 2023 Current conventional methods of evaluating microstructures are characterized by a high degree of subjectivity and a lack of reproducibility. Modern machine learning (ML) approaches have already shown great potential in overcoming these challenges.
Björn-Ivo Bachmann +4 more
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Microstructure classification and the polycrystalline microstructure state space
Acta MaterialiaJeremy K Mason +2 more
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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 +3 more
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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.
Filip Boltuzic, Jan Snajder
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