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International Conference on Advanced Intelligent Systems for Sustainable Developent (AI2SD 2024) : AI2SD Global Submit Symposium Series On Health, Energy, Environment and Agriculture, Volume 2 / edited by Mostafa Ezziyyani, Janusz Kacprzyk, Valentina Emilia Balas

Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes in Networks and Systems ; 1403Verlag: Cham : Springer Nature Switzerland, 2025Verlag: Cham : Imprint: Springer, 2025Auflage: 1st ed. 2025Beschreibung: 1 Online-Ressource(XIV, 1018 p. 430 illus., 361 illus. in color.)ISBN:
  • 9783031913372
Schlagwörter: Andere physische Formen: 9783031913365 | 9783031913389 | Erscheint auch als: 9783031913365 Druck-Ausgabe | Erscheint auch als: 9783031913389 Druck-AusgabeDDC-Klassifikation:
  • 006.3 23
DOI: DOI: 10.1007/978-3-031-91337-2Online-Ressourcen: Zusammenfassung: The Role of Technology in Preserving and Promoting Artisanal Cultural Heritage: The Moroccan Caftan Case -- Effect of Respiratory Mechanics, Endotracheal Tube and Ventilator Parameters on Pediatric Gas Exchange During Pressure Controlled Mechanical Ventilation: Simulation Study -- Influence of Cesarean section on the Establishment and Diversity of the Infant Gut Microbiome -- Short-term impact analysis of combined dietary and exercise interventions on body mass index in obese children via the microbiome.Zusammenfassung: This book provides a dynamic platform for exploring groundbreaking advancements in intelligent systems for sustainable development. It offers readers’ access to the latest technologies and innovative solutions that address global challenges. Bringing together leading academics, pioneering researchers, and industry leaders fosters knowledge exchange across various fields such as health, education, agriculture, energy, and security. It enables readers to gain valuable insights, build strategic partnerships, and contribute to shaping a more sustainable future. This book bridges scientific research with practical applications and is ideal for researchers, practitioners, and decision-makers, driving progress across multiple disciplines.PPN: PPN: 1928357830Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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