Expert Clouds and Applications

Proceedings of ICOECA 2023
1. Auflage 2023
ISBN: 978-981-99-1744-0
Verlag: Springer Nature Singapore

Buch, Englisch, Band 673, 900 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1543 g

Reihe: Lecture Notes in Networks and Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Jeena Jacob, I.

Izonin, Ivan

Kolandapalayam Shanmugam, Selvanayaki

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data

Inhaltsverzeichnis

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.

Über Autor(innen)

Jeena Jacob is working as Professor in Computer Science and Engineering department at GITAM University, Bangalore, India. She actively participates on the development of the research field by conducting international conferences, workshops, and seminars. She has published many articles in referred journals. She has guest edited an issue for International Journal of Mobile Learning and Organisation. Her research interests include mobile learning and computing.

Selvanayaki Kolandapalayam Shanmugam is currently working as Associate Professor in Department of Mathematics and Computer Science, Ashland University, Ashland, OH, 44805. She had over all 18+ years of Lecturing sessions for theoretical subjects and experimental and instructional procedures for laboratory subjects. She presented more research articles in the National and International conferences and Journals. Her research interest includes image processing, video processing, soft computing techniques,intelligent computing, web application development, object-oriented programming like C++ and Java, scripting languages like VBscript and Javascript, data science, algorithms, data warehousing and data mining, neural networks, genetic algorithms, software engineering, software project management software quality assurance, enterprise resource planning, information systems, and database management systems.

Ivan Izonin (IEEE Member) received the M.Sc. degree in computer science, in 2011, the M.Sc. degree in economic cybernetics, in 2012, and the Ph.D. degree in artificial intelligence, in 2016. He is currently Associate Professor at the Department of Artificial Intelligence, Lviv Polytechnic National University, Ukraine. His main research interests include computational intelligence, high-speed neural-like systems, non-iterative machine learning algorithms, and ensemble learning.