Vituperative Content Detection: A Multidomain Architecture Using OpenCV (Englisch)
- Neue Suche nach: Cheruvu, Sai Manoj
- Neue Suche nach: Sesank, Domakonda
- Neue Suche nach: Sandilya, K. Sriram
- Neue Suche nach: Gupta, Manu
- Neue Suche nach: Unhelkar, Bhuvan
- Neue Suche nach: Pandey, Hari Mohan
- Neue Suche nach: Agrawal, Arun Prakash
- Neue Suche nach: Choudhary, Ankur
- Neue Suche nach: Cheruvu, Sai Manoj
- Neue Suche nach: Sesank, Domakonda
- Neue Suche nach: Sandilya, K. Sriram
- Neue Suche nach: Gupta, Manu
In:
Advances and Applications of Artificial Intelligence & Machine Learning
: Proceedings of ICAAAIML 2022
;
Kapitel: 34
;
409-421
;
2023
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
-
Titel:Vituperative Content Detection: A Multidomain Architecture Using OpenCV
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Weitere Titelangaben:Lect. Notes Electrical Eng.
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Beteiligte:Unhelkar, Bhuvan ( Herausgeber:in ) / Pandey, Hari Mohan ( Herausgeber:in ) / Agrawal, Arun Prakash ( Herausgeber:in ) / Choudhary, Ankur ( Herausgeber:in ) / Cheruvu, Sai Manoj ( Autor:in ) / Sesank, Domakonda ( Autor:in ) / Sandilya, K. Sriram ( Autor:in ) / Gupta, Manu ( Autor:in )
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Kongress:International Conference on Advances and Applications of Artificial Intelligence and Machine Learning ; 2022 ; Noida, India
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Erschienen in:Advances and Applications of Artificial Intelligence & Machine Learning : Proceedings of ICAAAIML 2022 ; Kapitel: 34 ; 409-421Lecture Notes in Electrical Engineering ; 1078 ; 409-421
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Verlag:
- Neue Suche nach: Springer Nature Singapore
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Erscheinungsort:Singapore
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Erscheinungsdatum:15.11.2023
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Format / Umfang:13 pages
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ISBN:
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ISSN:
-
DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis E-Book
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