Expert Clouds and Applications (eBook, PDF)

Proceedings of ICOECA 2022
Redaktion: Jacob, I. Jeena; Bestak, Robert; Kolandapalayam Shanmugam, Selvanayaki

• Format: PDF

Produktbeschreibung

The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2022), organized by GITAM School of Technology, Bangalore, India, during 3-4 February 2022. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, 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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 793
• Erscheinungstermin: 17. August 2022
• Englisch
• ISBN-13: 9789811925009
• Artikelnr.: 65265653

Autorenporträt

Jeena Jacob is working as a 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 a Professor in the Department of Mathematics and Computer Science, Ashland University, Ashland, OH, 44805. She had overall 15+ years of Lecturing sessions for theoretical subjects, experimental and instructional procedures for laboratory subjects. She presented more research articles in 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++, 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, database management systems.   Robert Bestak obtained Ph.D. degree in Computer Science from ENST Paris, France (2003), and M.Sc. degree in Telecommunications from Czech Technical University in Prague, CTU, Czech Republic (1999). Since 2004, he has been an Assistant Professor at Department of Telecommunication Engineering, Faculty of Electrical Engineering, CTU. He participated in several national, EU, and third-party research projects. He is the Czech representative in the IFIP TC6 organization and chair of working group TC6 WG6.8. He annually serves as Steering and Technical Program Committee Member of numerous IEEE/IFIP conferences (networking, WMNC, NGMAST, etc.), and he is Member of editorial board of several international journals (computers and electrical engineering, Electronic Commerce Research Journal, etc.). His research interests include 5G networks, spectrum management and big data in mobile networks.

Inhaltsangabe

Chapter 1. An Approach for Summarizing Text Using Sentence Scoring With Key Optimizer.- Chapter 2. Image Classification of Indian Rural Development Projects using Transfer learning and CNN.- Chapter 3. Mobile Application for Dealing with Bullying.- Chapter 4. Selection of Human Resources Prospective student using SAW and AHP Methods.- Chapter 5. Implementation of the Weighted Product Method to specify scholarship's receiver.- Chapter 6. A Survey on E-Commerce Sentiment Analysis.- Chapter 7. Patient Health Monitoring using Feed Forward Neural Network with Cloud Based Internet of Things.- Chapter 8. Real-Time Big Data Analytics for improving sales in the Retail Industry via the use of Internet of Things.- Chapter 9. Healthcare Application System with Cyber-Security using Machine Learning Techniques.- Chapter 10. Energy Efficient Data Accumulation Scheme Based On ABC Algorithm with Mobile Sink for IWSN.- Chapter 11. IoT based Automatic Medicine Reminder.- Chapter 12. IOT based Framework for Identification of Cov .- Chapter 13. Efficient Data Partitioning and Retrieval using Modified ReDDE Technique.- Chapter 14. Stock Price Prediction using Data Mining with Soft Computing Technique.- Chapter 15. A Complete Analysis of Communication Protocols used in IoT.