Ubiquitous Intelligent Systems

Proceedings of ICUIS 2021
1. Auflage 2022
ISBN: 978-981-16-3677-6
Verlag: Springer Nature Singapore

Buch, Englisch, Band 243, 755 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1153 g

Reihe: Smart Innovation, Systems and Technologies

This book features a collection of high-quality, peer-reviewed papers presented at International Conference on Ubiquitous Intelligent Systems (ICUIS 2021) organized by Shree Venkateshwara Hi-Tech Engineering College, Tamil Nadu, India, during April 16–17, 2021. The book covers topics such as cloud computing, mobile computing and networks, embedded computing frameworks, modeling and analysis of ubiquitous information systems, communication networking models, big data models and applications, ubiquitous information processing systems, next-generation ubiquitous networks and protocols, advanced intelligent systems, Internet of things, wireless communication and storage networks, intelligent information retrieval techniques, AI-based intelligent information visualization techniques, cognitive informatics, smart automation systems, healthcare informatics and bioinformatics models, security and privacy of intelligent information systems, and smart distributed information systems.

Zielgruppe

Research

Autoren/Hrsg.

Karuppusamy, P.

García Márquez, Fausto Pedro

Perikos, Isidoros

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data

Inhaltsverzeichnis

Chapter 1. Improvement of QoS Parameters of IoT Networks using Artificial Intelligence.- Chapter 2. Early Diagnosis of Alzheimer’s Disease Using ACO Optimized Deep CNN Classifier.- Chapter 3. Performance Evaluation of Throughput and End to End Delay using an Optimized Cluster based Data Forwarding (OCDF) Protocol.- Chapter 4. Three Level Synthesis of Biometrics for Secured Authorization System with Hybrid Optimization.- Chapter 5. A Deep Learning based Residual Network model for Traffic Sign Detection and Classification.- Chapter 6. AI based Automated Fruits & Vegetables Quality Inspection for Smart Cities.- Chapter 7. A Survey on Energy Efficient Approaches in Wireless Sensor Networks.- Chapter 8. Lean-SE: Framework combining Lean Thinking with the SDLC Process.- Chapter 9. A Comparative Study on Augmented Analytics using Deep Learning Techniques.- Chapter 10. A Comparative Analysis of Pneumonia Detection using Various Models of Transfer Learning.- Chapter 11. Performance Enhancementof Suspension System of an Electric Vehicle using Nature Inspired meta-heuristic Optimization Algorithm.- Chapter 12. Advancements in Healthcare: Multi-Agent based Intelligent Sensor Approach.- Chapter 13. Comprehensive Analysis on Security Threats Prevalent in IoT based Smart Farming Systems.- Chapter 14. Detection of Brain Tumors - a Comparative Analysis of Various Transfer Learning Methods.- Chapter 15. Synthesis and Research of Orthonormal Functions based on Chebyshev–Legendre Polynomials for Simulation.

Über Autor(innen)

Dr. P. Karrupusamy is working as Professor and Head in Department of Electrical and Electronics Engineering at Shree Venkateshwara Hi-Tech Engineering College, Erode. In 2017, he had completed doctorate in Anna University, Chennai, and in 2007, he had completed his postgraduate in power electronics and drives in Government College of Technology, Coimbatore, India.  He has more than 10 years of teaching experience. He has published more than 40 papers in national and international journals and conferences. He has acted as a conference chair in IEEE international conferences and a guest editor in reputed journals. His research area includes modeling of PV arrays and adaptive neuro-fuzzy model for grid-connected photovoltaic system with multilevel inverter.

Dr. Isidoros Perikos completed his Ph.D. in Computer Engineering and Informatics, Computer Engineering and Informatics Department at University of Patras, Greece (2016), and M.Sc. in Computer Science and Technology, Computer Engineering and Informatics Department at University of Patras (2010). He has completed Engineering Diploma (5-year program, M.Eng.) in Computer Engineering and Informatics, Computer Engineering and Informatics Department at University of Patras (2008). His research interest includes Semantic Web & ontology engineering, Web intelligence, natural language processing & understanding, human–computer interaction, and affective computing robotics. He has published in national and international journals and conferences. 

Dr. Fausto works at UCLM as Full Professor (Accredited as Full Professor from 2013), Spain, Honorary Senior Research Fellow at Birmingham University, UK, Lecturer at the Postgraduate European Institute, and he has been Senior Manager in Accenture (2013-2014). He obtained his European Ph.D. with a maximum distinction. He has been distingueed with the prices: Advancement Prize for Management Science and Engineering Management Nominated Prize (2018), and he has published more than 150 papers (65 % ISI, 30% JCR, and 92% internationals), some recognized as: “Renewable Energy” (as “Best Paper 2014”), “ICMSEM” (as “excellent”), “Int. J. of Automation and Computing” and “IMechE Part F: J. of Rail and Rapid Transit” (most downloaded), etc. He is an author and an editor of 25 books (Elsevier, Springer, Pearson, Mc-GrawHill, Intech, IGI, Marcombo, AlfaOmega…) and 5 patents. He is Editor of 5 international journals and Committee Member of more than 40 international conferences. He has been Principal Investigator in 4 European Projects, 5 National Projects, and more than 150 projects for universities, companies, etc. His main interest includes maintenance management, renewable energy, transport, advanced analytics, and data science.