Buch, Englisch, 634 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1097 g
Proceedings of ICICC 2025, Volume 5
Buch, Englisch, 634 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1097 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-967522-7
Verlag: Springer Nature Singapore
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 Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
Weitere Infos & Material
Chapter 1: Integrating Real-Time Weather Data with LSTM for Accurate Price Forecasting of Agri- Horticultural.- Chapter 2: Beyond AI: Designing Tomorrow.- Chapter 3: An Adaptive Load-Balancing Framework for Efficient Job Distribution in Cloud Federation.- Chapter 4: Adapting Medical Imaging: Transfer Leaming for Chest X-rav Diaanosis.- Chapter 5: A Traffic Violations System based on Service Spatial Clustering and Decentralization.- Chapter 6: Exploring the Benefits and Obstacles of AI in Modern Education Systems.- Chapter 7: Enhanced Customer Segmentation:A Comparative Analysis.- Chapter 8: Investigating Deep Learning Models for Lung Cancer Prediction.- Chapter 9: Improving Automated Medical Transcriptions with Few- Shot Learning.- Chapter 10: Enhancing Academic Outcomes and Student Performance through Integrated Cloud and Machine Learning.-