附註:Includes bibliographical references and index.
Preface -- Chapter 1. Smart Medicine Reminder System and SOS Device -- Chapter 2. Internet of Things Applications Architecture for Industrial Interoperability Business Service -- Chapter 3. An Efficient Feature Selection in Classifying Diabetes Mellitus -- Chapter 4. Information Security and Privacy in IoT -- Chapter 5. A Novel Long Short-Term Memory Method for Model for Stock Price Prediction -- Chapter 6. Artificial Intelligence to Protect Wildlife -- Chapter 7. A Sophisticated Image Filtering and Enhancement Method With Worn Speculative Segmentation Process -- Chapter 8. MRI High Dimensional Data and Statistical Analysis on Spinal Cord Injury Detection -- Chapter 9. Enterprise Transformation Projects/Cloud Transformation Concept: The Compute System (CTC-CS) -- Chapter 10. An Architectural Review of Multi-Tenancy in Cloud Computing -- Chapter 11. An Analysis of Deep Learning Techniques Adopted in Medical Imaging -- Chapter 12. Design and Implementation of On-Board Computer Sub-System for Picosat -- Chapter 13. Analysis on Detecting Cyber Security Attacks Using Deep Ensemble Learning on Smart Grids -- Chapter 14. Algorithm-Based Spatio-Temporal Study on Identification of Pure Bamboo Vegetation Using LULC Classification -- Chapter 15. Malware Detection in Android Systems Using Deep Learning Techniques -- Chapter 16. A Quantitative Approach of Purposive Sampling Techniques for Security and Privacy Issues in IoT Healthcare Applications -- Chapter 17. Performance Evaluation and Analysis of Different Association Rule Mining (ARM) Algorithms -- Chapter 18. GanglioNav WithYou: Design and Implementation of an Artificial Intelligence-Enabled Cognitive Assessment Application for Alzheimer's Patients -- Compilation of References -- About the Contributors -- Index.
摘要:"Recently, the internet of things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has gained significant attention by utilizing its machine learning algorithms for quality patient care. The integration of IoT with AI may open new possibilities for both technologies and can play a big part in smart healthcare by providing improved insight into healthcare data and allowing for more inexpensive personalized care.The Handbook of Research on Advancements in AI and IoT Convergence Technologies considers recent advancements in AI and IoT convergence technologies with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those convergence technologies. It also provides insight into how to develop AI and IoT convergence techniques to meet industrial demands and covers the emerging research topics that are going to define the future of AI and IoT convergence technology development. Covering key topics such as diseases, smart healthcare, social distance monitoring, and security, this major reference work is ideal for industry professionals, nurses, healthcare workers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students."--
