Buch, Englisch, 341 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 755 g
PCCDA 2025, Volume 1
Buch, Englisch, 341 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 755 g
Reihe: Algorithms for Intelligent Systems
ISBN: 978-981-966842-7
Verlag: Springer
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 2025), held at Pt. Lalit Mohan Sharma Campus, Rishikesh, Sri Dev Suman Uttarakhand University, Uttarakhand, India, during 18–19 January 2025. 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
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
Weitere Infos & Material
Optimized Segmentation for Accurate Rooftop Solar Power Estimation using Satellite Images.- Performance Study of Hybrid PO-FUZZY MPP Tracking for SEPIC Converter in Partial Shading Condition of PV.- Pathways to Smart Detection and Notification of Anomalies in Financial and Insurance Datasets.- Classification of Thyroid Nodule in Ultrasound Images using CNN-SVM Hybrid with Data Augmentation.- Decentralized Blockchain-Based Cloud Storage with Smart Contracts and ABE for Enhanced Security.- A Quantitative Structure-Activity Relationship Model for Optimization and Feature Selection for Predicting Bioactivity.- Segmentation of Retina Images using Deep Learning Model and Explainable AI.- Etc.




