This book describes the different techniques of intelligent systems from a practical point of view: solving common life problems. This book also brings a valuable point of view to engineers and businessmen that work in companies, trying to solve practical, economical, or technical problems in the field of their company activities or expertise. The pure practical approach helps to transmit the idea and the aim of the author to communicate the way to approach and to cope with problems that would be intractable in any other way. This book solicits contributions which include theory, applications, and design methods of intelligent systems, Ubiquitous techniques, trends of fog, edge and cloud applications as embedded in the fields of engineering, computer science, mathematics and life sciences, as well as the methodologies behind them.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Maße
Höhe: 235 mm
Breite: 157 mm
Dicke: 29 mm
Gewicht
ISBN-13
978-1-119-67007-0 (9781119670070)
Schweitzer Klassifikation
Deepak Gupta, PhD, is an Assistant Professor in the Department of Computer Science and Engineering at the Maharaja Agrasen Institute of Technology, Delhi, India. He has published 158 papers and 3 patents. He is associated with numerous professional bodies, including IEEE, ISTE, IAENG, and IACSIT. He is the convener and organizer of the ICICC, ICDAM Springer Conference Series.
Aditya Khamparia, PhD, is Associate Professor of Computer Science at Lovely Professional University, Punjab, India. He has published more than 45 scientific research publications and is a member of CSI, IET, ISTE, IAENG, ACM and IACSIT.
About the Editors
List of contributors
Preface
Acknowledgment
Chapter 1 Fog, Edge and Pervasive computing in Intelligent IoT driven applications in Healthcare: Challenges, Limitations and Future Use
Chapter 2 Future opportunistic Fog/Edge Computational models and their Limitations
Chapter 3 Automating Elicitation Technique Selection using Machine Learning in Cloud Environment
Chapter 4 Machine Learning Frameworks and Algorithms for Fog and Edge Computing
Chapter 5 Integrated Cloud Based Library Management in Intelligent IoT driven applications
Chapter 6 A Systematic and Structured Review of Intelligent Systems for Diagnosis of Renal Cancer
Chapter 7 Location driven Edge assisted device and solutions for intelligent transportation
Chapter 8 Design and Simulation of MEMS for Automobile Condition Monitoring Using COMSOL Multiphysics Simulator
Chapter 9 IoT Driven Healthcare Monitoring System
Chapter 10 Fog Computing as Future Perspective in Vehicular Ad hoc Networks
Chapter 11 An overview to design an efficient and secure fog-assisted data collection method in Internet of Things
Chapter 12 Use of Fog Computing in Analytics of Internet of Things
Chapter 13 A Medical diagnosis of urethral stricture using Intuitionistic fuzzy sets
Chapter 14 Security Attacks in Internet of Things
Chapter 15 Fog Integrated Novel Architecture for Telehealth Services with Swift Medical Delivery
Chapter 16 Fruit Fly Optimization Algorithm for Intelligent IoT Applications
Chapter 17 Nature inspired driven multi-objective techniques for intelligent IoT Applications
Chapter 18 Optimization Techniques for Intelligent IoT Applications in Transport Processes
Chapter 19 Role of Intelligent IOT applications in Fog paradigm: Issues, Challenges and future opportunities
Chapter 20 Security and Privacy issues in Fog/Edge/Pervasive computing
Chapter 21 Fog and Edge driven Security & Privacy Issues in IoT Devices
Index
