Recently, artificial intelligence (AI), the internet of things (IoT), and cognitive technologies have successfully been applied to various research domains, including computer vision, natural language processing, voice recognition, and more. In addition, AI with IoT has made a significant breakthrough and a shift in technical direction to achieve high efficiency and adaptability in a variety of new applications. On the other hand, network design and optimization for AI applications addresses a complementary topic, namely the support of AI-based systems through novel networking techniques, including new architectures, as well as performance models for IoT systems.
IoT has paved the way to a plethora of new application domains, at the same time posing several challenges as a multitude of devices, protocols, communication channels, architectures, and middleware exist. Big data generated by these devices calls for advanced learning and data mining techniques to effectively understand, learn, and reason with this volume of information, such as cognitive technologies. Cognitive technologies play a major role in developing successful cognitive systems which mimic ""cognitive"" functions associated with human intelligence, such as ""learning"" and ""problem solving."" Thus, there is a continuing demand for recent research in these two linked fields.
Innovations and Applications of AI, IoT, and Cognitive Technologies discusses the latest innovations and applications of AI, IoT, and cognitive-based smart systems. The chapters cover the intersection of these three fields in emerging and developed economies in terms of their respective development situation, public policies, technologies and intellectual capital, innovation systems, competition and strategies, marketing and growth capability, and governance and relegation models. These applications span areas such as healthcare, security and privacy, industrial systems, multidisciplinary sciences, and more.
This book is ideal for technologists, IT specialists, policymakers, government officials, academics, students, and practitioners interested in the experiences of innovations and applications of AI, IoT, and cognitive technologies.
Author(s): Jingyuan Zhao, V. Vinoth Kumar
Series: Advances in Computational Intelligence and Robotics
Publisher: Business Science Reference
Year: 2021
Language: English
Pages: 605
City: Hershey
Cover
Title Page
Copyright Page
Book Series
List of Contributors
Table of Contents
Detailed Table of Contents
Preface
Section 1: AI and IoT: A Blend in Future Technologies and Systems
Chapter 1: Algorithms Optimization for Intelligent IoV Applications
Chapter 2: Cooperative Relaying Communication in IoT Applications for 5G Radio Networks
Chapter 3: The Rise of IoT and Big Data Analytics for Disaster Management Systems
Chapter 4: IoT-Based Smart Agriculture
Chapter 5: Mobile Geo-Fencing Triggers for Alerting Entries Into COVID-19 Containment Zones Using IoT
Chapter 6: Fine Tuning Smart Manufacturing Enterprise Systems
Chapter 7: A Quantum Technology-Based LiFi Security Using Quantum Key Distribution
Chapter 8: Role of Artificial Intelligence of Things (AIoT) to Combat Pandemic COVID-19
Chapter 9: Recent Trends in Wearable Device Technology for Health State Monitoring
Chapter 10: IoT-Based Delineation and Evolution of Kid's Safety Portable Devices
Chapter 11: Blockchain-Enabled Internet of Things for Unsupervised Structural Health Monitoring in Potential Building Structures
Chapter 12: An Advanced Wireless Sensor Networks Design for Energy-Efficient Applications Using Condition-Based Access Protocol
Chapter 13: Effective Image Fusion of PET-MRI Brain Images Using Wavelet Transforms
Chapter 14: IoT-Enabled Non-Contact-Based Infrared Thermometer for Temperature Recording of a Person
Chapter 15: Predictive Modeling for Classification of Breast Cancer Dataset Using Feature Selection Techniques
Chapter 16: Credit Card Fraud Detection Using K-Means and Fuzzy C-Means
Chapter 17: A Hybrid Method to Reduce PAPR of OFDM to Support 5G Technology
Chapter 18: Restricted Boltzmann Machine-Driven Matchmaking Algorithm With Interactive Estimation of Distribution for Websites
Section 2: Big Data and Cognitive Technologies: Current Applications and Future Challenges
Chapter 19: Identification and Recognition of Speaker Voice Using a Neural Network-Based Algorithm
Chapter 20: Traditional and Innovative Approaches for Detecting Hazardous Liquids
Chapter 21: Sentiment Analysis of Tweets on the COVID-19 Pandemic Using Machine Learning Techniques
Chapter 22: Intelligent Medical Data Analytics Using Classifiers and Clusters in Machine Learning
Chapter 23: Machine Learning for Industrial IoT Systems
Chapter 24: A Research on Software Engineering Research in Machine Learning
Chapter 25: Intelligent Speech Processing Technique for Suspicious Voice Call Identification Using Adaptive Machine Learning Approach
Chapter 26: Image Captioning Using Deep Learning
Chapter 27: Leveraging Big Data Analytics and Hadoop in Developing India's Healthcare Services
Chapter 28: A Sequential Data Mining Technique for Identification of Fault Zone Using FACTS-Based Transmission
Chapter 29: K-Means Clustering Machine Learning Concept to Enable Social Distancing in Public Places
Chapter 30: An Efficient Selfishness Control Mechanism for Mobile Ad hoc Networks
Chapter 31: Estimation of Secured Wireless Sensor Networks and Its Significant Observation for Improving Energy Efficiency Using Cross-Learning Algorithms
Chapter 32: Executing CNN-LSTM Algorithm for Recognizable Proof of Cervical Spondylosis Infection on Spinal Cord MRI Image
Chapter 33: Soil Nutrients and pH Level Testing Using Multivariate Statistical Techniques for Crop Selection
Compilation of References
About the Contributors
Index
