Hierarchical Classification Models and Handheld NIR Spectrometer to Human Blood Stains Identification on Different Floor Tiles

2021 ◽  
pp. 120533
Author(s):  
Aline C.S. Fonseca ◽  
José F.Q Pereira ◽  
Ricardo S. Honorato ◽  
Rasmus Bro ◽  
Maria Fernanda Pimentel
Keyword(s):  
Human Blood ◽  
Hierarchical Classification ◽  
Classification Models ◽  
Blood Stains ◽  
Floor Tiles

Oblique rotation of factors: a novel pattern recognition strategy to classify fluorescence excitation–emission matrices of human blood plasma for early diagnosis of colorectal cancer

2016 ◽  
Vol 12 (6) ◽  
pp. 1963-1975 ◽  
Author(s):  
Mohammad Shahbazy ◽  
Mahdi Vasighi ◽  
Mohsen Kompany-Zareh ◽  
Davide Ballabio
Keyword(s):  
Colorectal Cancer ◽  
Pattern Recognition ◽  
Early Diagnosis ◽  
Blood Plasma ◽  
Human Blood ◽  
Human Blood Plasma ◽  
Classification Models ◽  
Oblique Rotation ◽  
Fluorescence Excitation ◽  
Fluorescence Excitation Emission Matrices

Oblique rotation of factors would be advantageous for improvement of classification models in challenging biochemical and omics systems.

scholarly journals Three-way Hierarchical Classes: A Comparison of the Indclas and Tucker3-Hiclas Models

2009 ◽  
Vol 13 (2) ◽  
pp. 43 ◽  
Author(s):  
Iwin Leenen ◽  
Eva Ceulemans
Keyword(s):  
Binary Data ◽  
Interpersonal Relations ◽  
Hierarchical Classification ◽  
Classification Models ◽  
Data Array ◽  
Hierarchical Classes ◽  
Multi Mode ◽  
Special Case

Hierarchical classes (HICLAS) models for multi-way multi-mode data constitute a unique family of classification models in that (a) they simultaneously induce a hierarchical classification (of the elements) of each mode and (b) they link the hierarchical classifications together by an association relation that yieldsa predicted (or reconstructed) value for each cell in the data array. For the case of three-way three-mode binary data, the most prominent HICLAS models include INDCLAS and Tucker3-HICLAS. In this paper, we compare the latter two models, introducing the underlying theory of both in substantive terms and showing how a Tucker3-HICLAS analysis may result in a simpler model than that yielded by INDCLAS, although the former is mathematically more complex than the latter (which it includes as a special case). We illustrate by two applications: astudy on anger responses in frustrating situations and a case-study on emotions in interpersonal relations.

The typing of group-specific component (Gc protein) in human blood stains

1983 ◽  
Vol 22 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Hiroshi Kimura ◽  
Kaoru Shinomiya ◽  
Ken-Ichi Yoshida ◽  
Takaaki Shinomiya
Keyword(s):  
Human Blood ◽  
Specific Component ◽  
Blood Stains ◽  
Group Specific Component ◽  
Gc Protein

Human blood stain identification and sex determination in dried blood stains using recominant DNA techniques

1986 ◽  
Vol 31 (4) ◽  
pp. 267-272 ◽  
Author(s):  
Michael G. Tyler ◽  
Lorne T. Kirby ◽  
Stephen Wood ◽  
Susan Vernon ◽  
James A.J. Ferris
Keyword(s):  
Sex Determination ◽  
Human Blood ◽  
Blood Stains

Studies on Human Blood-Stains in the Sudan

1972 ◽  
Vol 12 (2) ◽  
pp. 129-130
Author(s):  
M. A. Haseeb
Keyword(s):  
Human Blood ◽  
Blood Stains ◽  
Physical Tests ◽  
Blood Grouping

Five samples of human blood-stains were stored in a cupboard in the laboratory and tested on 3 occasions, 10 and then 12 years apart. Tests performed included the benzidine test, standard chemical and physical tests, precipitin tests for differentiation of species, and blood grouping.

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