Buch, Englisch, Format (B × H): 155 mm x 235 mm
Selected papers from the International Conference on Intelligent Systems, Blockchain, and Communication Technologies (ISBCom26) - Volume 2
Buch, Englisch, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-38571-0
Verlag: Springer
This book provides readers with innovative methodologies, practical solutions, and state-of-the-art developments that support both academic research and industrial innovation. By combining theoretical advances with real-world applications, it serves as a valuable reference for addressing current challenges, exploring emerging technologies, and identifying future research directions. The book adopts an interdisciplinary approach by presenting selected, peer-reviewed contributions spanning artificial intelligence, machine learning, blockchain technologies, communication systems, cybersecurity, the Internet of Things, cloud and edge computing, data science, software engineering, computer vision, natural language processing, healthcare technologies, smart applications, and other emerging digital technologies. Its distinctive feature is the integration of novel methodologies, optimization techniques, and practical case studies that bridge research with real-world implementation. This book is intended for researchers, academics, graduate students, engineers, and industry professionals. It serves as a valuable reference for research, graduate education, and the advancement of next-generation intelligent and secure digital technologies.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Artificial Intelligence Framework for Honeypot Based Cyberattack Detection.- Deep Learning and Traditional Classifiers for Fault Diagnosis in Predictive Maintenance A Business Intelligence Approach.- FireLiteNet A Lightweight and Explainable AI Framework for Accurate Wildfire Detection from Satellite Imagery.- Benchmarking YOLOv5 to YOLOv11 Finding the Optimal Balance for Industrial Fabric Defect Detection.- Optimizing ETL Error Detection and Classification with Advanced Machine Learning Strategies.- USTS 75K A Benchmark U S Traffic Sign Dataset for Robust Classification.- Analysis of Federated Image Based Plant Disease Detection: Evaluating Centralized Model Selection for Distributed Learning.
