Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes selected papers presented at the10th International Conference on Innovation and New Trends in Information Technology, INTIS 2022, held in Casablanca, Morocco, in May 2022, and 11th International Conference on Innovation and New Trends in Information Technology, INTIS 2023, held in Tangier, Morocco, in May 2023.After the thorough peer review process, 4 papers were selected from the 27 submissions received for INTIS 2022, and 11 papers were selected from the 33 submissions received for INTIS 2023. The presented papers cover the mail topicsof data-enabled systems/applications: data source layer, network layer, data layer, learning layer, and reporting layers while considering non-functional properties such as data privacy, security, and ethics.

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Bibliographic Details

Title: New Technologies, Artificial Intelligence and Smart Data : 10th International Conference, INTIS 2022, Casablanca, Morocco, May 20-21, 2022, and 11th International Conference, INTIS 2023, Tangier, Morocco, May 26-27, 2023, Revised Selected Papers
Publisher: Springer Nature Switzerland, Springer International Publishing
Publication Date: 2023
Language: English
ISBN 10: 3031473655
ISBN 13: 9783031473654
Binding: Taschenbuch
Condition: Neu
Dimensions: 235 millimeters width by 155 millimeters height by 13 millimeters depth
Weight: 341 grams

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This volume constitutes selected papers presented at the 10th International Conference on Innovation and New Trends in Information Technology, INTIS 2022, held in Casablanca, Morocco, in May 2022, and 11th International Conference on Innovation and New Trends in Information Technology, INTIS 2023, held in Tangier, Morocco, in May 2023.

After the thorough peer review process, 4 papers were selected from the 27 submissions received for INTIS 2022, and 11 papers were selected from the 33 submissions received for INTIS 2023. The presented papers cover the mail topics of data-enabled systems/applications: data source layer, network layer, data layer, learning layer, and reporting layers while considering non-functional properties such as data privacy, security, and ethics.

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