Buch, Englisch, 308 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 709 g
PCCDA 2024, Volume 1
Buch, Englisch, 308 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 709 g
Reihe: Algorithms for Intelligent Systems
ISBN: 978-981-97-7945-1
Verlag: Springer Nature Singapore
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
Weitere Infos & Material
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.