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Expert Clouds and Applications

Proceedings of ICOECA 2023

Specificaties
Paperback, blz. | Engels
Springer Nature Singapore | e druk, 2023
ISBN13: 9789819917440
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Springer Nature Singapore e druk, 2023 9789819917440
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2023), organized by RV Institute of Technology and Management, Bangalore, India, during February 9–10, 2023. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies. The thrust of the book is to showcase different research chapters dealing with the design, development, implementation, testing and analysis of intelligent systems, and expert clouds, and also to provide empirical and practical guidelines for the development of such systems.

Specificaties

ISBN13:9789819917440
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

Inhoudsopgave

A Detailed Survey on Network Intrusion Detection in Cloud using different Techniques.- Adoption of Network Function Virtualization Technology In Education.- An Efficient Secure Cloud Image Deduplication with Weighted min-hash Algorithm.- An Intelligence Security Architecture for mitigating DDOS Attack in CloudIOT Environment.- Automated Activity Scheduling Using Heuristic Approach.- Automated Helpline Service Using a Two-Tier Ensemble Framework.- Big Data Security: Attack's Detection Methods using Digital Forensics.- Decentralized Expert System for Donation Tracking and Transparency.- Design of Wireless-Cloud based Transmission Intelligent Robot for Industrial Pipeline Inspection and Maintenance.- Evaluation of security of Cloud Deployment Models in Electronic Health Records.- Leasing in IaaS Cloud using Queuing Model.- Resource Allocation using MISO-NOMA Scheme with Clustering Technique.- Self-Adaptive Hadoop Cluster for Data Analysis Applications.- Sustainable Cloud Computing in theSupply Chain.- Task Scheduling in Fog assisted Cloud Environment using Hybrid Metaheuristic Algorithm.<p></p>

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