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Intelligent Systems and Data Science [electronic resource] : First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part II / edited by Nguyen Thai-Nghe, Thanh-Nghi Do, Peter Haddawy.

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Material type:

TextSeries: Communications in Computer and Information Science ; 1950Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XVII, 315 p. 160 illus., 112 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789819976669

Subject(s):

-- Data processing

Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:

QA76.76.A65

Online resources:

Resursa online

Contents:

Applied Intelligent Systems and Data science for Agriculture, Aquaculture, and Biomedicine -- Big Data, IoT, and Cloud Computing -- Deep Learning and Natural Language Processing -- Intelligent Systems.

In: Springer Nature eBookSummary: This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023, held in Can Tho, Vietnam, in November 2023. The 35 full papers and 13 short papers presented were thoroughly reviewed and selected from 123 submissions. They are organized in the following topical sections: applied intelligent systems and data science for agriculture, aquaculture, and biomedicine; big data, IoT, and cloud computing; deep learning and natural language processing; intelligent systems.

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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This two-volume set constitutes the refereed proceedings of the First International Conference on Intelligent Systems and Data Science, ISDS 2023, held in Can Tho, Vietnam, in November 2023. The 35 full papers and 13 short papers presented were thoroughly reviewed and selected from 123 submissions. They are organized in the following topical sections: applied intelligent systems and data science for agriculture, aquaculture, and biomedicine; big data, IoT, and cloud computing; deep learning and natural language processing; intelligent systems.

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