Buch, Englisch, 643 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1111 g
Proceedings of ICICC 2025, Volume 7
Buch, Englisch, 643 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1111 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-967133-5
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
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Chapter 1: Intelligent-Machine Learning Bubble Detection: A Case Study on Indian Stock Market.- Chapter 2: Comparative Analysis of Dep Learning Models for Hate Speech Detection ni Hindi Textual Dataset.- Chapter 3: Enhancing CyberSecurity in Autonomous Vehicles Through Adversarial Robustness.- Chapter 4: GENOME-WIDE PREDICTION AND ENRICHMENT ANALYSIS OF 3D-DOMAIN SWAPPED PROTEINS NI THE BRASSICA OLERECEA: ACASE STUDY.- Chapter 5: Multi Objective trajectory planning in Internet of things using CaViaR Eel and Grouper Optimizer.- Chapter 6: An Optimal Framework for Rice Leaf disease Detection using Mixed Precision and Gradient-Weighted Class Activation Mapping.- Chapter 7: Bayesian Rectangular-BM3D for Faster and Flexible Image Denoising.- Chapter 8: A Survey on Fetal ECG Extraction Techniques in the Era of Machine Learning.- Chapter 9: From Spectrum to Emotion: Machine Learning and Deep Learning in Hyperspectral Stress Detection.- Chapter 10: Enhancing MQTT Performance through Scalable Data Aggregation in IoT e-Healthcare Applications.-