Computational intelligence for managing pandemics:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Boston
De Gruyter
[2021]
|
| Schriftenreihe: | Intelligent biomedical data analysis
volume 5 |
| Schlagworte: | |
| Online-Zugang: | https://www.degruyter.com/books/9783110700206 Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | XIX, 321 Seiten Illustrationen 25 cm, 721 g |
| ISBN: | 9783110700206 3110700204 |
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| 245 | 1 | 0 | |a Computational intelligence for managing pandemics |c edited by Aditya Khamparia [und 5 weiteren] |
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Datensatz im Suchindex
| _version_ | 1804186127388639232 |
|---|---|
| adam_text | CONTENTS
PREFACE
-
V
ABOUT
THE
EDITORS
----
XV
LIST
OF
CONTRIBUTORS
----
XVII
LEENA
SHARMA
1
APPLICATION
OF
ROUGH
SET
THEORY
TO
ANALYZE
PRIMARY
PARAMETERS
CAUSING
DEATH
IN
COVID-19
PATIENTS
----
1
KHADIM
KEBE
2
FROM
WUHAN
TO
AFRICA:
INSIGHTS
INTO
THE
GENOME
OF
THE
SARS-COV-2----
17
SHAWNI
DUTTA,
SAMIR
KUMAR
BANDYOPADHYAY
3
ANALYSIS
OF
DIVERGENCE
ASPECTS
OF
BREAST
IN
BREAST
CANCER
PATIENTS
THAT
CHANGE
DUE
TO
COVID-19
----
31
MUTIU
LYANDA
LASISI,
UMAR
OLANSILE
AJETUNMOBI,
ABDUL
GANIYY
GBOLAGADE
ADIAMOH
4
THE
CORRELATES
AMONG
CONTAINMENT,
MANAGEMENT
AND
PUBLIC
INTEREST
INDICATORS
OF
COVID-19
IN
NIGERIA:
MANAGERIAL
AND
POLICY
IMPLICATIONS
FOR
STAKEHOLDERS
-
57
ANUPRIYA
PANDEY,
PRAGYA
KATYAYAN,
NISHEETH
JOSHI
5
EFFECT
OF
LOCKDOWN
DURING
THE
COVID-19
PANDEMIC
USING
MATHEMATICAL
MODELING:
A
QUANTITATIVE
STUDY
-
75
ARUSHI
UPPAL,
UTKARSH
SHARMA,
BHARAT
BHUSHAN
6
FLATTENING
THE
CURVE
OF
COVID-19
OUTBREAK
BY
EARLY
FORECASTING
-
95
DEEPAK
PACHPATTE
7
ANALYSIS
AND
FORECASTING
OF
COVID-19
INFECTIONS
IN
INDIA
USING
ARIMA
MODEL
----
121
NURE
NAUSHIN
SHARMY
8
EFFECTIVENESS
OF
MACHINE
LEARNING
IN
PREDICTING
THE
SPREAD
OF
COVID-19
-
131
XIV
-
CONTENTS
ANUPRIYA
PANDEY,
PRAGYA
KATYAYAN,
NISHEETH
JOSHI
9
MATHEMATICAL
MODELING
OF
THE
TRANSMISSION
DYNAMICS
OF
NOVEL
CORONAVIRUS:
AN
INDIA-SPECIFIC
STUDY
-
151
PINTO
KUMAR
PAUL,
SUBRATO
BHARATI,
PRAJOY
PODDER,
M.
RUBAIYAT
HOSSAIN
MONDAL
10
THE
ROLE
OF
LOMT
DURING
PANDEMICS
-----169
SUNANDA
DIXIT,
J.
MAHALAKSHMI,
RIYA
MAHESH
11
INTERNET
OF
MEDICAL
THINGS
APPROACH
TO
COVID-19
----
187
SUBRATO
BHARATI,
M.
RUBAIYAT
HOSSAIN
MONDAI
12
APPLICATIONS
AND
CHALLENGES
OF
AL-DRIVEN
LOHT
FOR
COMBATING
PANDEMICS:
A
REVIEW
-
213
RUTWIK
PATEL,
NINAD
MEHENDALE
13
DEEP
LEARNING
ON
MEDICAL
IMAGES
TO
COMBAT
A
PANDEMIC
-
231
SOHAIB
ASIF,
WENHUI
YI,
JIN
HOU,
TAO
YI,
JINHAI
SI
14
DEEP
CONVOLUTIONAL
NEURAL
NETWORK
FOR
THE
CLASSIFICATION
OF
COVID-19
FROM
CHEST
X-RAY
IMAGES
----
259
SUNITA
S.
CHAUHAN,
SWETA
A.
DARGAD
15
DEEP
LEARNING
FOR
ANALYSIS
OF
COVID-19
ELECTRONIC
HEALTH
RECORDS
----
293
INDEX
----
319
|
| adam_txt |
CONTENTS
PREFACE
-
V
ABOUT
THE
EDITORS
----
XV
LIST
OF
CONTRIBUTORS
----
XVII
LEENA
SHARMA
1
APPLICATION
OF
ROUGH
SET
THEORY
TO
ANALYZE
PRIMARY
PARAMETERS
CAUSING
DEATH
IN
COVID-19
PATIENTS
----
1
KHADIM
KEBE
2
FROM
WUHAN
TO
AFRICA:
INSIGHTS
INTO
THE
GENOME
OF
THE
SARS-COV-2----
17
SHAWNI
DUTTA,
SAMIR
KUMAR
BANDYOPADHYAY
3
ANALYSIS
OF
DIVERGENCE
ASPECTS
OF
BREAST
IN
BREAST
CANCER
PATIENTS
THAT
CHANGE
DUE
TO
COVID-19
----
31
MUTIU
LYANDA
LASISI,
UMAR
OLANSILE
AJETUNMOBI,
ABDUL
GANIYY
GBOLAGADE
ADIAMOH
4
THE
CORRELATES
AMONG
CONTAINMENT,
MANAGEMENT
AND
PUBLIC
INTEREST
INDICATORS
OF
COVID-19
IN
NIGERIA:
MANAGERIAL
AND
POLICY
IMPLICATIONS
FOR
STAKEHOLDERS
-
57
ANUPRIYA
PANDEY,
PRAGYA
KATYAYAN,
NISHEETH
JOSHI
5
EFFECT
OF
LOCKDOWN
DURING
THE
COVID-19
PANDEMIC
USING
MATHEMATICAL
MODELING:
A
QUANTITATIVE
STUDY
-
75
ARUSHI
UPPAL,
UTKARSH
SHARMA,
BHARAT
BHUSHAN
6
FLATTENING
THE
CURVE
OF
COVID-19
OUTBREAK
BY
EARLY
FORECASTING
-
95
DEEPAK
PACHPATTE
7
ANALYSIS
AND
FORECASTING
OF
COVID-19
INFECTIONS
IN
INDIA
USING
ARIMA
MODEL
----
121
NURE
NAUSHIN
SHARMY
8
EFFECTIVENESS
OF
MACHINE
LEARNING
IN
PREDICTING
THE
SPREAD
OF
COVID-19
-
131
XIV
-
CONTENTS
ANUPRIYA
PANDEY,
PRAGYA
KATYAYAN,
NISHEETH
JOSHI
9
MATHEMATICAL
MODELING
OF
THE
TRANSMISSION
DYNAMICS
OF
NOVEL
CORONAVIRUS:
AN
INDIA-SPECIFIC
STUDY
-
151
PINTO
KUMAR
PAUL,
SUBRATO
BHARATI,
PRAJOY
PODDER,
M.
RUBAIYAT
HOSSAIN
MONDAL
10
THE
ROLE
OF
LOMT
DURING
PANDEMICS
-----169
SUNANDA
DIXIT,
J.
MAHALAKSHMI,
RIYA
MAHESH
11
INTERNET
OF
MEDICAL
THINGS
APPROACH
TO
COVID-19
----
187
SUBRATO
BHARATI,
M.
RUBAIYAT
HOSSAIN
MONDAI
12
APPLICATIONS
AND
CHALLENGES
OF
AL-DRIVEN
LOHT
FOR
COMBATING
PANDEMICS:
A
REVIEW
-
213
RUTWIK
PATEL,
NINAD
MEHENDALE
13
DEEP
LEARNING
ON
MEDICAL
IMAGES
TO
COMBAT
A
PANDEMIC
-
231
SOHAIB
ASIF,
WENHUI
YI,
JIN
HOU,
TAO
YI,
JINHAI
SI
14
DEEP
CONVOLUTIONAL
NEURAL
NETWORK
FOR
THE
CLASSIFICATION
OF
COVID-19
FROM
CHEST
X-RAY
IMAGES
----
259
SUNITA
S.
CHAUHAN,
SWETA
A.
DARGAD
15
DEEP
LEARNING
FOR
ANALYSIS
OF
COVID-19
ELECTRONIC
HEALTH
RECORDS
----
293
INDEX
----
319 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author2 | Khamparia, Aditya 1988- |
| author2_role | edt |
| author2_variant | a k ak |
| author_GND | (DE-588)1186305169 |
| author_facet | Khamparia, Aditya 1988- |
| building | Verbundindex |
| bvnumber | BV049405333 |
| classification_rvk | ST 640 |
| ctrlnum | (OCoLC)1296950387 (DE-599)DNB1217860908 |
| dewey-full | 614.4028563 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 614 - Forensic medicine; incidence of disease |
| dewey-raw | 614.4028563 |
| dewey-search | 614.4028563 |
| dewey-sort | 3614.4028563 |
| dewey-tens | 610 - Medicine and health |
| discipline | Informatik Medizin |
| discipline_str_mv | Informatik Medizin |
| format | Book |
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| id | DE-604.BV049405333 |
| illustrated | Illustrated |
| index_date | 2024-07-03T23:04:55Z |
| indexdate | 2024-07-10T10:06:11Z |
| institution | BVB |
| institution_GND | (DE-588)10095502-2 |
| isbn | 9783110700206 3110700204 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034732483 |
| oclc_num | 1296950387 |
| open_access_boolean | |
| owner | DE-M347 |
| owner_facet | DE-M347 |
| physical | XIX, 321 Seiten Illustrationen 25 cm, 721 g |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | De Gruyter |
| record_format | marc |
| series2 | Intelligent biomedical data analysis |
| spelling | Computational intelligence for managing pandemics edited by Aditya Khamparia [und 5 weiteren] Berlin ; Boston De Gruyter [2021] XIX, 321 Seiten Illustrationen 25 cm, 721 g txt rdacontent n rdamedia nc rdacarrier Intelligent biomedical data analysis volume 5 Pandemie (DE-588)4737034-8 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf COVID-19 (DE-588)1206347392 gnd rswk-swf Epidemiologie (DE-588)4015016-1 gnd rswk-swf Algorithmen Big Data Öffentliche Gesundheit Digital Health Algorithmus COVID-19 (DE-588)1206347392 s Pandemie (DE-588)4737034-8 s Epidemiologie (DE-588)4015016-1 s Soft Computing (DE-588)4455833-8 s DE-604 Khamparia, Aditya 1988- (DE-588)1186305169 edt Walter de Gruyter GmbH & Co. KG (DE-588)10095502-2 pbl Erscheint auch als Online-Ausgabe Computational Intelligence for Managing Pandemics 1. Auflage Berlin/Boston : De Gruyter, 2021 Online-Ressource, 340 Seiten, 47 Illustrationen, 29 Illustrationen Erscheint auch als Online-Ausgabe 9783110712254 X:MVB https://www.degruyter.com/books/9783110700206 B:DE-101 application/pdf https://d-nb.info/1217860908/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034732483&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p dnb 20220208 DE-101 https://d-nb.info/provenance/plan#dnb 2\p dnb 20220208 DE-101 https://d-nb.info/provenance/plan#dnb |
| spellingShingle | Computational intelligence for managing pandemics Pandemie (DE-588)4737034-8 gnd Soft Computing (DE-588)4455833-8 gnd COVID-19 (DE-588)1206347392 gnd Epidemiologie (DE-588)4015016-1 gnd |
| subject_GND | (DE-588)4737034-8 (DE-588)4455833-8 (DE-588)1206347392 (DE-588)4015016-1 |
| title | Computational intelligence for managing pandemics |
| title_auth | Computational intelligence for managing pandemics |
| title_exact_search | Computational intelligence for managing pandemics |
| title_exact_search_txtP | Computational intelligence for managing pandemics |
| title_full | Computational intelligence for managing pandemics edited by Aditya Khamparia [und 5 weiteren] |
| title_fullStr | Computational intelligence for managing pandemics edited by Aditya Khamparia [und 5 weiteren] |
| title_full_unstemmed | Computational intelligence for managing pandemics edited by Aditya Khamparia [und 5 weiteren] |
| title_short | Computational intelligence for managing pandemics |
| title_sort | computational intelligence for managing pandemics |
| topic | Pandemie (DE-588)4737034-8 gnd Soft Computing (DE-588)4455833-8 gnd COVID-19 (DE-588)1206347392 gnd Epidemiologie (DE-588)4015016-1 gnd |
| topic_facet | Pandemie Soft Computing COVID-19 Epidemiologie |
| url | https://www.degruyter.com/books/9783110700206 https://d-nb.info/1217860908/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034732483&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT khampariaaditya computationalintelligenceformanagingpandemics AT walterdegruytergmbhcokg computationalintelligenceformanagingpandemics |
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