Results 221 to 230 of about 21,507 (253)

Fuzzy classification of microstructural dynamics of human sleep

1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929), 2002
This work presents an automatic classifier for the microstructural dynamics of human sleep. Microstructure classification is based on phasic and transient events and has several clinical applications in sleep disorders and neurological diseases. The classifier uses EEG activities estimator, fuzzy logic to combine activities and a context based decision
A.C. Rosa, L.J. Allen
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Acoustic Scattering Classification of Zooplankton and Microstructure

2000
Abstract : The long-term goal is to understand the acoustic reverberation properties of zooplankton and microstructure. This new understanding will lead to improved capability in 1) predicting sonar performance and 2) use of sonars in the mapping of the zooplankton and microstructure.
Peter H. Wiebe, Timothy K. Stanton
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Classification and Phylogenetic Significance of Molluscan Shell Microstructure

Notes for a Short Course: Studies in Geology, 1985
Like most classifications of molluscan shell microstructure published during the past 25 years (e.g., MacClintock, 1967; Kobayashi, 1964, 1971; Taylor, Kennedy and Hall, 1969, 1973; Grégoire, 1972a), the present one is based largely on Bøggild's (1930) monographic work, redefined from a modern perspective of combined light and scanning electron ...
Joseph G. Carter, George R. Clark
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Machine Learning Approach on Steel Microstructure Classification

2020
The microstructure of a material is its inner morphological features. The microstructure of steel can be diverse and complex depending on the composition, heat treatment, and processing of the alloy, making it difficult to accurately predict the material’s property and composition without physically analyzing the microstructure.
Haon Park, Abdullah Öztürk
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Classification of low-carbon pipe steel microstructures

Metallurgist, 2010
The expediency of classifying the microstructure of low-carbon pipe steels is demonstrated. The main structures that should be considered in its development are investigated.
Smirnov M.A., Pyshmintsev I.Yu., Boryakova A.N.   +2 more
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Microstructural Classification of Resorption Lacunae and Perforations in Human Proximal Femora

Calcified Tissue International, 2003
Resorption lacunae and perforation types mirror resorptional activity of osteoclasts and are important for the integrity of bone architecture. In the present study, distinctive microstructural features of cancellous bone dissected from femoral heads of 28 autopsy subjects (14 females and 14 males) were defined and evaluated by light microscopic (LM ...
C, Gentzsch, G, Delling, E, Kaiser
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On the classification of ancient slags by microstructure examination

1985
In this paper we will point at the possibilities of using the microstructure of iron-slags for the determination of a possible main type of production process used in early iron-making on a site, where production is indicated by slag remains in suitable amounts. For that purpose, four main types of furnace are presumed and shortly explained with regard
Tholander, Erik, Blomgren, Stig
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Types of Dialogue — The Use of Microstructures for the Classification of Texts

1978
Texts are manifestations of language in use. In the attempt to describe the use of linguistic expressions in a text, the linguist must relate the communicative function of the text to its grammatical structure. The more comprehensive and less definite the text to be described, the more difficult the task of stating this relationship.
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Classification of Steel Microstructure Image Using CNN

2023
Shigeru Kato, Akiko Oshita, Tsubasa Kubo, Mitsuharu Todai   +3 more
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Classification of Insomnia using Cyclic Alternating patterns in Sleep microstructure

2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
This work analyses the importance of sleep microstructural patterns for identifying sleep instability and arousals, which can be extremely useful to diagnose insomnia. We derived the quantitative metrics from the sleep macrostructures as well as microstructural patterns such as cyclic alternating patterns (CAP).
Rajkumar Nagaiah, Ritika Jain
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