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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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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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Batik Classification using Microstructure Co-occurrence Histogram
JOIV: International Journal on Informatics VisualizationBatik Nitik is a distinctive form of batik originating from the culturally rich region of Yogyakarta, Indonesia. What sets it apart from other batik styles is its remarkable motif similarity, a characteristic that often poses a considerable challenge ...
Agus Eko Minarno +2 more
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Technical challenges in REM sleep microstructure classification: A study of patients with REM sleep behaviour disorder. [PDF]
J Sleep ResWhile commonly treated as a uniform state in practice, rapid eye movement sleep contains two distinct microstructures—phasic (presence of rapid eye movement) and tonic (no rapid eye movement). This study aims to identify technical challenges during rapid
Yao CW +7 more
europepmc +2 more sources
Microstructure Classification in the Unsupervised Context
Acta Materialia, 2021 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
C. Kunselman +4 more
semanticscholar +2 more sources
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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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 quality control of steels using deep learning [PDF]
Frontiers 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
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Advanced Steel Microstructural Classification by Deep Learning Methods [PDF]
Scientific Reports, 2017 The inner structure of a material is called microstructure. It stores the genesis of a material and determines all its physical and chemical properties.
Seyedmajid Azimi +4 more
semanticscholar +7 more sources