No Cover Image

Conference Paper/Proceeding/Abstract 232 views

Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features

Sara Sharifzadeh Orcid Logo, Jacob L. Skytte, Otto H. A. Nielsen, Bjarne Ersbøll, Line H. Clemmensen

2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)

Swansea University Author: Sara Sharifzadeh Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

Published in: 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)
ISBN: 978-1-4577-2191-5 978-3-200-02328-4
ISSN: 2157-8672 2157-8702
Published: IEEE 2012
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa65617
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2024-04-07T13:19:31Z
last_indexed 2024-04-07T13:19:31Z
id cronfa65617
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>65617</id><entry>2024-02-09</entry><title>Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features</title><swanseaauthors><author><sid>a4e15f304398ecee3f28c7faec69c1b0</sid><ORCID>0000-0003-4621-2917</ORCID><firstname>Sara</firstname><surname>Sharifzadeh</surname><name>Sara Sharifzadeh</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-02-09</date><deptcode>SCS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)</journal><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher>IEEE</publisher><placeOfPublication/><isbnPrint>978-1-4577-2191-5</isbnPrint><isbnElectronic>978-3-200-02328-4</isbnElectronic><issnPrint>2157-8672</issnPrint><issnElectronic>2157-8702</issnElectronic><keywords/><publishedDay>31</publishedDay><publishedMonth>5</publishedMonth><publishedYear>2012</publishedYear><publishedDate>2012-05-31</publishedDate><doi/><url>https://ieeexplore.ieee.org/document/6208195</url><notes>https://ieeexplore.ieee.org/document/6208195</notes><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2024-04-07T14:19:46.5353130</lastEdited><Created>2024-02-09T01:19:11.0233621</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Sara</firstname><surname>Sharifzadeh</surname><orcid>0000-0003-4621-2917</orcid><order>1</order></author><author><firstname>Jacob L.</firstname><surname>Skytte</surname><order>2</order></author><author><firstname>Otto H. A.</firstname><surname>Nielsen</surname><order>3</order></author><author><firstname>Bjarne</firstname><surname>Ersbøll</surname><order>4</order></author><author><firstname>Line H.</firstname><surname>Clemmensen</surname><order>5</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling v2 65617 2024-02-09 Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features a4e15f304398ecee3f28c7faec69c1b0 0000-0003-4621-2917 Sara Sharifzadeh Sara Sharifzadeh true false 2024-02-09 SCS Conference Paper/Proceeding/Abstract 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP) IEEE 978-1-4577-2191-5 978-3-200-02328-4 2157-8672 2157-8702 31 5 2012 2012-05-31 https://ieeexplore.ieee.org/document/6208195 https://ieeexplore.ieee.org/document/6208195 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2024-04-07T14:19:46.5353130 2024-02-09T01:19:11.0233621 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Sara Sharifzadeh 0000-0003-4621-2917 1 Jacob L. Skytte 2 Otto H. A. Nielsen 3 Bjarne Ersbøll 4 Line H. Clemmensen 5
title Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features
spellingShingle Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features
Sara Sharifzadeh
title_short Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features
title_full Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features
title_fullStr Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features
title_full_unstemmed Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features
title_sort Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features
author_id_str_mv a4e15f304398ecee3f28c7faec69c1b0
author_id_fullname_str_mv a4e15f304398ecee3f28c7faec69c1b0_***_Sara Sharifzadeh
author Sara Sharifzadeh
author2 Sara Sharifzadeh
Jacob L. Skytte
Otto H. A. Nielsen
Bjarne Ersbøll
Line H. Clemmensen
format Conference Paper/Proceeding/Abstract
container_title 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)
publishDate 2012
institution Swansea University
isbn 978-1-4577-2191-5
978-3-200-02328-4
issn 2157-8672
2157-8702
publisher IEEE
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url https://ieeexplore.ieee.org/document/6208195
document_store_str 0
active_str 0
published_date 2012-05-31T14:19:43Z
_version_ 1795682188206800896
score 11.035634

Similar Items