This book examines IoT as applied to real-life organizations and systems. It considers IoT as a disruptive technology that requires examination and consideration in multiple domains like CPS, ubiquitous distributed computing, sensor technologies, wireless sensor networks, data security and privacy, big data, machine learning, blockchain, and so on.
This book examines IoT as applied to real-life organizations and systems. It considers IoT as a disruptive technology that requires examination and consideration in multiple domains like CPS, ubiquitous distributed computing, sensor technologies, wireless sensor networks, data security and privacy, big data, machine learning, blockchain, and so on.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India. Prof. (Dr.) Sudhir Kumar Sharma is currently a Professor and Head of the Department of Computer Science, Institute of Information Technology & Management affiliated to GGSIPU, New Delhi, India. Prof. (Dr.) Bhuvan Unhelkar (BE, MDBA, MSc, PhD; FACS; PSM-I, CBAP®) is an accomplished IT professional and Professor of IT at the University of South Florida, Sarasota-Manatee (Lead Faculty). Dr. Muhammad Fazal Ijaz is working as an Assistant Professor in Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, Korea. Prof. (Dr.) Lamia Karim is a professor of computer science at the National School of Applied Sciences Berrechid (ENSAB) Hasan 1st University.
Inhaltsangabe
1. IoT Conceptual Model and Application. 2. Standardization of IoT Ecosystems: Open Challenges, Current Solutions, and Future Directions. 3. A Node Reduction Technique for Trojan Detection and Diagnosis in IoT Hardware Devices. 4. Deep-Learning-Empowered Edge Computing-Based IoT Frameworks. 5. A Geo-Referenced Data Collection Microservice Based on IoT Protocols for Smart HazMat Transportation. 6. Impact of Dimentionality Reduction on Performance of IoT Intrusion Detection System. 7. IoT-Based Resources Management and Monitoring for a Smart City. 8. Internet of Things Applications in Marketing. 9. Internet of Things (IoT) for Sustainable Smart Cities. 10. An Integration of IOT and Machine Learning in Smart City Planning. 11. The Internet of Medical Things for Monitoring Health. 12. Secured Multimedia and IoT in Healthcare Computing Paradigms. 13. Designing Contactless Automated Systems Using IoT, Sensors and Artificial Intelligence to Mitigate COVID-19. 14. Analysis Of the Framework for the Development, Security and Efficacy Of IoT-Based Mobile Health-Care Solutions for Antenatal Care.
1. IoT Conceptual Model and Application. 2. Standardization of IoT Ecosystems: Open Challenges, Current Solutions, and Future Directions. 3. A Node Reduction Technique for Trojan Detection and Diagnosis in IoT Hardware Devices. 4. Deep-Learning-Empowered Edge Computing-Based IoT Frameworks. 5. A Geo-Referenced Data Collection Microservice Based on IoT Protocols for Smart HazMat Transportation. 6. Impact of Dimentionality Reduction on Performance of IoT Intrusion Detection System. 7. IoT-Based Resources Management and Monitoring for a Smart City. 8. Internet of Things Applications in Marketing. 9. Internet of Things (IoT) for Sustainable Smart Cities. 10. An Integration of IOT and Machine Learning in Smart City Planning. 11. The Internet of Medical Things for Monitoring Health. 12. Secured Multimedia and IoT in Healthcare Computing Paradigms. 13. Designing Contactless Automated Systems Using IoT, Sensors and Artificial Intelligence to Mitigate COVID-19. 14. Analysis Of the Framework for the Development, Security and Efficacy Of IoT-Based Mobile Health-Care Solutions for Antenatal Care.
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