Expert Clouds and Applications

Proceedings of ICOECA 2021
1. Auflage 2022
ISBN: 978-981-16-2125-3
Verlag: Springer Nature Singapore

Buch, Englisch, Band 209, 717 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1112 g

Reihe: Lecture Notes in Networks and Systems

This book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18–19, 2021. 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.

Zielgruppe

Research

Autoren/Hrsg.

Jeena Jacob, I.

Izonin, Ivan

Gonzalez-Longatt, Francisco M.

Kolandapalayam Shanmugam, Selvanayaki

Fachgebiete

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

Inhaltsverzeichnis

Chapter 1: Minimizing Energy through Task Allocation using Rao-2 Algorithm in fog assisted Cloud Environment.- Chapter 2: Sensitivity Context-Aware Privacy-Preserving Disease Prediction.- Chapter 3: Designing a Smart Speaking System for Voiceless Community.- Chapter 4: ANNs for Automatic Speech Recognition – A Survey.- Chapter 5: Cyber Security in the Age of the Internet of Things: An Assessment of the Users’ Privacy and Data Security.- Chapter 6: Application of Artificial Intelligence in New Product Development: Innovative Cases of Crowdsourcing.- Chapter 7: The Effect of the Toplolgy Adaptation on Search Performance in Overlay Network.- Chapter 8: Flanker Task-based VHDR Dataset Analysis for Error Rate Prediction.- Chapter 9: Integrating University Computing Labs with AWS for Better Resource Utilization.- Chapter 10: IoT based Control of Dosa Making Robot.- Chapter 11: Classification of Idiomatic Sentences using AWD- LSTM.- Chapter 12: Developing an IoT based Data Analytics System for Predicting Soil Nutrient Degradation Level.- Chapter 13: A survey on Cloud Resources Allocation using Multi- Agent System.- Chapter 14: IoT Based Smart Helmet for Riders.- Chapter 15: Collision Avoidance in Vechicles using Ultrasonic Sensor.

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 Organization. Her research interests include mobile learning and computing.

Francisco M. Gonzalez-Longatt is currently Full Professor in electrical power engineering at Institutt for elektro, IT og kybernetikk, Universitetet i Sørøst-Norge, Norway. His academic qualifications include first class in Electrical Engineering of Instituto Universitario Politécnico de la Fuerza Armada Nacional, Venezuela (1994), Master of Business Administration (Honors) of Universidad Bicentenaria de Aragua, Venezuela (1999), Ph.D. in Electrical Power Engineering from the Universidad Central de Venezuela (2008), Postgraduate Certificate in Higher Education Professional Practice from Coventry University (2013), and Diploma in Leadership and Management (ILM Level 3), Loughborough University (2018). He is Vice-President of Venezuelan Wind Energy Association, Fellow of the Higher Education Academy (UK), Senior Member of the IEEE, Member of The Institution of Engineering and Technology—The IET (UK), and Member of International Council on Large Electric Systems—CIGRE. His research interest includes innovative (operation/control) schemes to optimize the performance of future energy systems.

Selvanayaki Kolandapalayam Shanmugam is currently working as Associate Professor in Computer Science, Concordia University, Chicago, USA. She had over all 15+ years of lecturing sessions for theoretical subjects, experimental and instructional procedure for laboratory subjects. She presented more research articles in the national & 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, and database management systems.

Ivan Izonin, graduated from Lviv Polytechnic National University in 2011 (M.Sc. in Computer Sciences) and Ivan Franko National University of Lviv in 2012 (M.Sc. in Economic Cybernetics). He got his Ph.D. in Artificial Intelligence in 2016. He is currently working as Assistant at Publishing Information Technologies Department, Lviv Polytechnic National University, Lviv, Ukraine. He has published more than 80 publications, including 8 patents for inventions and 1 tutorial. His major research interests are computational intelligence; high-speed neural-like systems; non-iterative machine learning algorithms. Dr. Izonin participated in developing two international Erazmus+ projects – MASTIS and DocHub. He is Technical Committee Member of several international conferences.