UID:
almahu_9949520051302882
Format:
XXVIII, 900 p. 467 illus., 369 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9789819917457
Series Statement:
Lecture Notes in Networks and Systems, 673
Content:
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.
Note:
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 the Supply Chain -- Task Scheduling in Fog assisted Cloud Environment using Hybrid Metaheuristic Algorithm.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819917440
Additional Edition:
Printed edition: ISBN 9789819917464
Language:
English
DOI:
10.1007/978-981-99-1745-7
URL:
https://doi.org/10.1007/978-981-99-1745-7
URL:
Volltext
(URL des Erstveröffentlichers)
