Buch, Englisch, 650 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1124 g
Proceedings of ICICC 2025, Volume 1
Buch, Englisch, 650 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1124 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-966882-3
Verlag: Springer
This book includes high-quality research papers presented at the Eighth International Conference on Innovative Computing and Communication (ICICC 2025), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 14–15 February 2025. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
Weitere Infos & Material
Chapter 1: A Deep Learning Approaches to Fake News Detection in E-commerce Platforms.- Chapter 2: Unlocking Insights: Advanced Data Engineering Strategies for Analyzing Complex Datasets.- Chapter 3: Transforming Music Streaming with Blockchain and Machine Learning.- Chapter 4: Study on Leveraging Federated Learning and Blockchain for Robust Network Security in SDN.- Chapter 5: Investigation and Improvement of the Efficiency of Solar PV Systems with Dual Axis Solar Tracker Utilizing Arduino Uno.- Chapter 6: Accelerating Digital Forensies with GPGPU Techniques:A Performance Evaluation.- Chapter 7: Fake Video Detection using Deep Learning-based Methods.- Chapter 8: An Efficient Solution to Smart Fee Collection System using Light Fidelity.- Chapter 9: Estimating K Value by data distribution in On-line.- Chapter 10: Analysis of Tractive Power Consumption and Motor Power Requirements for EVs on Different Surface Gradients.-