Cargando…

Computer-Aided Learning and Analysis for COVID-19 Disease

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dhiman, Gaurav
Otros Autores: Kaur, Amandeep, Kautish, Sandeep
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bradford, West Yorkshire : Emerald Publishing Limited, 2022.
Colección:World Journal of Engineering Ser.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000Mu 4500
001 EBOOKCENTRAL_on1313880901
003 OCoLC
005 20240329122006.0
006 m o d
007 cr |||||||||||
008 221015s2022 xx o ||| 0 eng d
040 |a EBLCP  |b eng  |c EBLCP  |d REDDC  |d OCLCF  |d OCLCO  |d OCLCQ 
020 |a 9781803827681 
020 |a 1803827688 
035 |a (OCoLC)1313880901 
050 4 |a RC46  |b .D456 2022 
082 0 4 |a 381  |2 23 
049 |a UAMI 
100 1 |a Dhiman, Gaurav. 
245 1 0 |a Computer-Aided Learning and Analysis for COVID-19 Disease  |h [electronic resource]. 
260 |a Bradford, West Yorkshire :  |b Emerald Publishing Limited,  |c 2022. 
300 |a 1 online resource (137 p.). 
490 1 |a World Journal of Engineering Ser. ;  |v v.1 
500 |a Description based upon print version of record. 
505 0 |a Cover -- Special issue (part 1) on computer-aided learning and analysis for COVID-19 disease -- COVID-19: risk prediction through nature inspired algorithm -- E-biomedical: a positive prospect to monitor human healthcare system using blockchain technology -- Pattern analysis: predicting COVID-19 pandemic in India using AutoML -- Predicting future diseases based on existing health status using link prediction -- Detection of COVID-19 cases through X-ray images using hybrid deep neural network -- Time series analysis of COVID-19 cases 
505 8 |a Development of a classifier with analysis of feature selectionmethods for COVID-19 diagnosis -- Online learning in COVID-19 pandemic: an empirical study of Indian and Turkish higher education institutions -- Role of digital technologies to combat COVID-19 pandemic -- Implementation of the QoS framework using fog computing to predict COVID-19 disease at early stage -- Image recognition of COVID-19 using DarkCovidNet architecture based on convolutional neural network -- Association of vaccine medication for the efficacious COVID-19 treatment 
505 8 |a Queries related to COVID-19: a more effective retrieval through finetuned ALBERT with BM25L question answering system -- Cyberlaw and cyberspace vis-a-vis impact of internet during COVID-19 pandemic -- Voice activity detection using optimal window overlapping especially over health-care infrastructure -- Sentiment analysis and sarcasm detection fromsocial network to train health-careprofessionals 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Diseases. 
650 2 |a Disease 
650 6 |a Maladies. 
650 7 |a Diseases  |2 fast 
700 1 |a Kaur, Amandeep. 
700 1 |a Kautish, Sandeep. 
776 0 8 |i Print version:  |a Dhiman, Gaurav  |t Computer-Aided Learning and Analysis for COVID-19 Disease  |d Bradford, West Yorkshire : Emerald Publishing Limited,c2022 
830 0 |a World Journal of Engineering Ser. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6960984  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL6960984 
994 |a 92  |b IZTAP