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Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics : PCCDA 2024, Volume 1 / edited by Himanshu Mittal, Satyasai Jagannath Nanda, Meng-Hiot Lim

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Algorithms for Intelligent SystemsPublisher: Singapore : Springer Nature Singapore, 2025Publisher: Singapore : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XVI, 308 p. 135 illus., 103 illus. in color.)ISBN:
  • 9789819779468
Subject(s): Additional physical formats: 9789819779451 | 9789819779475 | 9789819779482 | Erscheint auch als: 9789819779451 Druck-Ausgabe | Erscheint auch als: 9789819779475 Druck-Ausgabe | Erscheint auch als: 9789819779482 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-981-97-7946-8Online resources: Summary: 1. Using text mining to identify employee dissatisfaction optimized by modified metaheuristics -- 2. Exploration of a Grid with Blocked Nodes using a Swarm of Autonomous Robots -- 3. Optimal Height with Minimum Power for a Unmanned Aerial Vehicle in an Urban Area -- 4. Application of Machine Learning Algorithms in Automatic Question Tagging -- 5. A Novel Governance Framework A Federated Learning Approach for Asthma Care in Fog, Cloud, and IoMT-based eHealth -- 6. Human Activity Recognition in IoT Networks through Wi-Fi Channel State Information.Summary: This book is a collection of selected high-quality research papers presented at the International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2024), held at Pt. Lalit Mohan Sharma Campus, Rishikesh, Sri Dev Suman Uttarakhand University, Uttarakhand, India, during 20–21 April 2024. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of the latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.PPN: PPN: 191746956XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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