Computer-Aided Learning and Analysis for COVID-19 Disease:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Bradford, West Yorkshire
Emerald Publishing Limited
2022
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | World Journal of Engineering Series
v.1 |
| Schlagworte: | |
| Online-Zugang: | DE-2070s |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (137 Seiten) |
| ISBN: | 9781803827681 |
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| 245 | 1 | 0 | |a Computer-Aided Learning and Analysis for COVID-19 Disease |
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| 264 | 1 | |a Bradford, West Yorkshire |b Emerald Publishing Limited |c 2022 | |
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| 505 | 8 | |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 -- 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 -- 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 | |
| 650 | 4 | |a Diseases | |
| 700 | 1 | |a Kaur, Amandeep |e Sonstige |4 oth | |
| 700 | 1 | |a Kautish, Sandeep |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Dhiman, Gaurav |t Computer-Aided Learning and Analysis for COVID-19 Disease |d Bradford, West Yorkshire : Emerald Publishing Limited,c2022 |
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Datensatz im Suchindex
| _version_ | 1810600638411702272 |
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| adam_text | |
| any_adam_object | |
| author | Dhiman, Gaurav |
| author_facet | Dhiman, Gaurav |
| author_role | aut |
| author_sort | Dhiman, Gaurav |
| author_variant | g d gd |
| building | Verbundindex |
| bvnumber | BV049874265 |
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| contents | 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 -- 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 -- 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 |
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| dewey-full | 381 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 381 - Commerce (Trade) |
| dewey-raw | 381 |
| dewey-search | 381 |
| dewey-sort | 3381 |
| dewey-tens | 380 - Commerce, communications, transportation |
| discipline | Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV049874265 |
| illustrated | Not Illustrated |
| indexdate | 2024-09-19T05:22:05Z |
| institution | BVB |
| isbn | 9781803827681 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035213723 |
| oclc_num | 1313880901 |
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| physical | 1 Online-Ressource (137 Seiten) |
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| publishDate | 2022 |
| publishDateSearch | 2022 |
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| publisher | Emerald Publishing Limited |
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| series2 | World Journal of Engineering Series |
| spelling | Dhiman, Gaurav Verfasser aut Computer-Aided Learning and Analysis for COVID-19 Disease 1st ed Bradford, West Yorkshire Emerald Publishing Limited 2022 ©2022 1 Online-Ressource (137 Seiten) txt rdacontent c rdamedia cr rdacarrier World Journal of Engineering Series v.1 Description based on publisher supplied metadata and other sources 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 -- 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 -- 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 Diseases Kaur, Amandeep Sonstige oth Kautish, Sandeep Sonstige oth Erscheint auch als Druck-Ausgabe Dhiman, Gaurav Computer-Aided Learning and Analysis for COVID-19 Disease Bradford, West Yorkshire : Emerald Publishing Limited,c2022 |
| spellingShingle | Dhiman, Gaurav Computer-Aided Learning and Analysis for COVID-19 Disease 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 -- 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 -- 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 Diseases |
| title | Computer-Aided Learning and Analysis for COVID-19 Disease |
| title_auth | Computer-Aided Learning and Analysis for COVID-19 Disease |
| title_exact_search | Computer-Aided Learning and Analysis for COVID-19 Disease |
| title_full | Computer-Aided Learning and Analysis for COVID-19 Disease |
| title_fullStr | Computer-Aided Learning and Analysis for COVID-19 Disease |
| title_full_unstemmed | Computer-Aided Learning and Analysis for COVID-19 Disease |
| title_short | Computer-Aided Learning and Analysis for COVID-19 Disease |
| title_sort | computer aided learning and analysis for covid 19 disease |
| topic | Diseases |
| topic_facet | Diseases |
| work_keys_str_mv | AT dhimangaurav computeraidedlearningandanalysisforcovid19disease AT kauramandeep computeraidedlearningandanalysisforcovid19disease AT kautishsandeep computeraidedlearningandanalysisforcovid19disease |