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Application of swarm intelligence optimization for enhancing detection of epileptic seizures in EEG signals / (Record no. 70062)

MARC details
000 -LEADER
fixed length control field	02013cam a2200349 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field	EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20250223032203.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	190210s2018 ua d f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency	EG-GiCUC
Language of cataloging	eng
Transcribing agency	EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title	eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library	Deposite
097 ## - Thesis Degree
Thesis Level	M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number	Cai01.20.03.M.Sc.2018.As.A
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name	Asmaa Hamad Elsaied Mohamed
245 10 - TITLE STATEMENT
Title	Application of swarm intelligence optimization for enhancing detection of epileptic seizures in EEG signals /
Statement of responsibility, etc.	Asmaa Hamad Elsaied Mohamed ; Supervised Aly Aly Fahmy , Aboulella Hassanien , Essam Halim Houssein
246 15 - VARYING FORM OF TITLE
Title proper/short title	تطبيق امثلية الذكاء السربي لتحسين نوبات اكتشاف الصرع في إشارات رسم المخ
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc.	Cairo :
Name of publisher, distributor, etc.	Asmaa Hamad Elsaied Mohamed ,
Date of publication, distribution, etc.	2018
300 ## - PHYSICAL DESCRIPTION
Extent	89 Leaves :
Other physical details	charts ;
Dimensions	30cm
502 ## - DISSERTATION NOTE
Dissertation note	Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science
520 ## - SUMMARY, ETC.
Summary, etc.	The thesis introduces a hybrid classification model using swarm optimization algorithms and support vector machines (SVMs) for automatic seizure detection in EEG. This proposed classification model consists of four main phases; namely,1) EEG pre-processing used to remove the noises from the EEG signals and decompose EEG signal into various sub-bands,2) feature extraction used to extract the EEG signal features from decomposed signal,3) Feature selection and classifier Parameters Optimization based swarm algorithms and 4) classification phase that is mainly used to analyze and classify the EEG signal into normal or abnormal
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note	Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term	EEG
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term	Machine Learning
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term	Swarm Intelligence
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name	Aboulella Hassanien ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name	Aly Aly Fahmy ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name	Essam Halim Houssein ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier	<a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger	Nazla
Reviser	Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger	Shimaa
Reviser	Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme	Dewey Decimal Classification
Koha item type	Thesis

Holdings
Source of classification or shelving scheme	Not for loan	Home library	Current library	Date acquired	Full call number	Barcode	Date last seen	Koha item type	Copy number
Dewey Decimal Classification		المكتبة المركزبة الجديدة - جامعة القاهرة	قاعة الرسائل الجامعية - الدور الاول	11.02.2024	Cai01.20.03.M.Sc.2018.As.A	01010110077119000	22.09.2023	Thesis
Dewey Decimal Classification		المكتبة المركزبة الجديدة - جامعة القاهرة	مخـــزن الرســائل الجـــامعية - البدروم	11.02.2024	Cai01.20.03.M.Sc.2018.As.A	01020110077119000	22.09.2023	CD - Rom	77119.CD