Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Hans Grahn"'
Publikováno v:
Encyclopedia of Analytical Chemistry
Multivariate image analysis (MIA) and hyperspectral image analysis (HIA) are methodologies for analyzing multivariate images, where the image coordinates are position (two or three dimensions) and variable number. Multivariate/hyperspectral images ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bda48b0410ba9babaadb8fcc36da7caf
https://doi.org/10.1002/9780470027318.a8106.pub3
https://doi.org/10.1002/9780470027318.a8106.pub3
Publikováno v:
Journal of Near Infrared Spectroscopy. 24:141-149
One possible way of monitoring plastic particles in sea water is by imaging spectroscopic measurements on filtrates. The idea is that filters from seawater sampling can be imaged in many wavelengths and that a multivariate data analysis can give info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2900a1fd82e554cbbbd1eace891c29b8
https://doi.org/10.1255/jnirs.1212
https://doi.org/10.1255/jnirs.1212
Autor:
Paul Geladi, Hans Grahn
Chemometrics is a necessary discipline in many fields of research and industrial production, and lately online and laboratory instrumentation has been able to produce large amounts of data, sometimes in unusual data structures. This chapter describes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc9258e80d89d324ba47dd55c4aa8f0c
https://doi.org/10.1016/b978-0-12-811065-2.00003-5
https://doi.org/10.1016/b978-0-12-811065-2.00003-5
Autor:
Christian Airiau, Chris Antoniou, Massimiliano Barolo, Fabrizio Bezzo, Robert W. Bondi, Johan Bøtker, Richard D. Braatz, Dongsheng Bu, Chunsheng Cai, Graham Cook, Claudia C. Corredor, Kim H. Esbensen, Pierantonio Facco, Pedro M. Felizardo, Ana Patricia Ferreira, Geir Rune Flåten, John Gamble, Joerg Gampfer, Paul Geladi, Francisca F. Gouveia, Hans Grahn, Mark J. Henson, Benoît Igne, Dominique S. Kummli, Lorenz Liesum, João A. Lopes, David Lovett, John Mack, Nuno Matos, Neil McDowall, Gary McGeorge, Natascia Meneghetti, José C. Menezes, Ewan Mercer, Charles E. Miller, Chris Morris, Venkatesh Natarajan, Sarah Nicholson, Julia O’Neill, Antonio Peinado, Alan R. Potts, Jukka Rantanen, Clare Frances Rawlinson-Malone, Rodolfo J. Romañach, Andrés D. Román-Ospino, Mafalda C. Sarraguça, Kristen A. Severson, Zhenqi Shi, Christopher M. Sinko, Brad Swarbrick, Furqan Tahir, Jörg Thömmes, Mike Tobyn, Jeremy G. VanAntwerp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85fb5a702d533aa4c23f7aa952314506
https://doi.org/10.1016/b978-0-12-811065-2.00030-8
https://doi.org/10.1016/b978-0-12-811065-2.00030-8
Publikováno v:
Partial Least Squares Path Modeling ISBN: 9783319640686
This chapter is about the application of latent variable-based regression methods on hyperspectral images. It is an applied chapter, and no new PLS algorithms are presented. The emphasis is on visual diagnostics and interpretation by showing how thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c944ee746acbbe74ec6973881364000
https://doi.org/10.1007/978-3-319-64069-3_16
https://doi.org/10.1007/978-3-319-64069-3_16
Publikováno v:
Raman, Infrared, and Near-Infrared Chemical Imaging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e41256a870469f66533c067e5350faff
https://doi.org/10.1002/9780470768150.ch5
https://doi.org/10.1002/9780470768150.ch5
Autor:
Hans Grahn, Jan Sääf
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 14:391-396
Multivariate image analysis (MIA) and multivariate image regression (MIR) techniques are useful tools in the extraction of information from magnetic resonance images. They aid the characterization of different tissues and can be used to describe thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12045ff790235144ce81a4c3211808bd
https://doi.org/10.1016/0169-7439(92)80120-s
https://doi.org/10.1016/0169-7439(92)80120-s
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 14:357-374
Esbensen, K.H., Geladi, P.L. and Grahn, H.F., 1992. Strategies for multivariate image regression. Chemometrics and Inteligent Laboratory Systems, 14: 357–374. We present multivariate image regression (MIR) as a set of typically problem-dependent st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ac6c8c00efef668d1d53dfed473b42d
https://doi.org/10.1016/0169-7439(92)80118-n
https://doi.org/10.1016/0169-7439(92)80118-n
Publikováno v:
TrAC Trends in Analytical Chemistry. 11:121-130
Part I [Trends Anal. Chem., 11 (1992) 41] focused on the generation of univariate digital images in the chemical laboratory and in industrial situations and on the possible use of operations on univariate images. The concept of a multivariate image w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3e92ce708e1078b073efb09c3c333a7
https://doi.org/10.1016/0165-9936(92)85010-3
https://doi.org/10.1016/0165-9936(92)85010-3
Autor:
Hans Grahn, Ulf Edlund
Publikováno v:
Journal of Pharmaceutical and Biomedical Analysis. 9:655-658
Multivariate methods based on principal components (PCA and PLS) have been used to reduce NMR spectral information, to predict NMR parameters of complicated structures, and to relate shift data sets to dependent descriptors of biological significance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::658ea13532541f3e9ac407ca47546bc5
https://doi.org/10.1016/0731-7085(91)80191-b
https://doi.org/10.1016/0731-7085(91)80191-b