Verfügbarkeit: Artificial Intelligence in Microbial Research

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Bibliographische Detailangaben
Titel:	Artificial Intelligence in Microbial Research Bridging the Gap
Von:	edited by Babita Pandey, Devendra Pandey, Aditya Khamparia, Venkatesh Dutta, Valentina E. Balas
Person:	Pandey, Babita Pandey, Devendra Khamparia, Aditya Dutta, Venkatesh Balas, Valentina E.
Weitere Personen:	Pandey, Babita (HerausgeberIn), Pandey, Devendra (HerausgeberIn), Khamparia, Aditya (HerausgeberIn), Dutta, Venkatesh (HerausgeberIn), Balas, Valentina E. (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 2025 Singapore Springer
Ausgabe:	1st ed. 2025
Schriftenreihe:	Microorganisms for Sustainability 45
Schlagworte:	Microbial Communities Cellular Microbiology Environmental Microbiology Artificial Intelligence Machine Learning Data Science Microbial populations Microbiology Cytology Microbial ecology Artificial intelligence Machine learning Artificial intelligence / Data processing
Online-Zugang:	https://doi.org/10.1007/978-981-96-3448-4 https://doi.org/10.1007/978-981-96-3448-4 https://doi.org/10.1007/978-981-96-3448-4 https://doi.org/10.1007/978-981-96-3448-4 https://doi.org/10.1007/978-981-96-3448-4
Beschreibung:	1 Online-Ressource (XVI, 450 p. 104 illus., 94 illus. in color)
ISBN:	9789819634484
ISSN:	2512-1898
DOI:	10.1007/978-981-96-3448-4

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series	Microorganisms for Sustainability
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spelling	Artificial Intelligence in Microbial Research Bridging the Gap edited by Babita Pandey, Devendra Pandey, Aditya Khamparia, Venkatesh Dutta, Valentina E. Balas 1st ed. 2025 Singapore Springer Nature Singapore 2025 Singapore Springer 1 Online-Ressource (XVI, 450 p. 104 illus., 94 illus. in color) txt rdacontent c rdamedia cr rdacarrier Microorganisms for Sustainability 45 2512-1898 Microbial Communities Cellular Microbiology Environmental Microbiology Artificial Intelligence Machine Learning Data Science Microbial populations Microbiology Cytology Microbial ecology Artificial intelligence Machine learning Artificial intelligence / Data processing Pandey, Babita edt Pandey, Devendra edt Khamparia, Aditya edt Dutta, Venkatesh edt Balas, Valentina E. edt Erscheint auch als Druck-Ausgabe 978-981-9634-47-7 Erscheint auch als Druck-Ausgabe 978-981-9634-49-1 Erscheint auch als Druck-Ausgabe 978-981-9634-50-7 Microorganisms for Sustainability 45 45 https://doi.org/10.1007/978-981-96-3448-4 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Artificial Intelligence in Microbial Research Bridging the Gap Microorganisms for Sustainability Microbial Communities Cellular Microbiology Environmental Microbiology Artificial Intelligence Machine Learning Data Science Microbial populations Microbiology Cytology Microbial ecology Artificial intelligence Machine learning Artificial intelligence / Data processing
title	Artificial Intelligence in Microbial Research Bridging the Gap
title_auth	Artificial Intelligence in Microbial Research Bridging the Gap
title_exact_search	Artificial Intelligence in Microbial Research Bridging the Gap
title_full	Artificial Intelligence in Microbial Research Bridging the Gap edited by Babita Pandey, Devendra Pandey, Aditya Khamparia, Venkatesh Dutta, Valentina E. Balas
title_fullStr	Artificial Intelligence in Microbial Research Bridging the Gap edited by Babita Pandey, Devendra Pandey, Aditya Khamparia, Venkatesh Dutta, Valentina E. Balas
title_full_unstemmed	Artificial Intelligence in Microbial Research Bridging the Gap edited by Babita Pandey, Devendra Pandey, Aditya Khamparia, Venkatesh Dutta, Valentina E. Balas
title_short	Artificial Intelligence in Microbial Research
title_sort	artificial intelligence in microbial research bridging the gap
title_sub	Bridging the Gap
topic	Microbial Communities Cellular Microbiology Environmental Microbiology Artificial Intelligence Machine Learning Data Science Microbial populations Microbiology Cytology Microbial ecology Artificial intelligence Machine learning Artificial intelligence / Data processing
topic_facet	Microbial Communities Cellular Microbiology Environmental Microbiology Artificial Intelligence Machine Learning Data Science Microbial populations Microbiology Cytology Microbial ecology Artificial intelligence Machine learning Artificial intelligence / Data processing
url	https://doi.org/10.1007/978-981-96-3448-4
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