Handbook of Research on Innovations and Applications of Ai, Iot, and Cognitive Technologies (Advances in Computational Intelligence and Robotics)

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. The Handbook of Research on 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. 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 "This book provides perspectives of academics and industrial practitioners offering the latest innovations and applications of artificial intelligence (AI), Internet-of-Things (IoT) and cognitive based smart systems to provide information for all those interested in AI, IoT and Cognitive Technologies in emerging and developed economies in terms of their respective development situation toward public policies, technologies and intellectual capital, innovation systems, competition and strategies, marketing and growth capability, governance and relegation model etc"-- Provided by publisher. Discusses the latest innovations and applications of AI, IoT, and cognitive-based smart systems. The book covers 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, and competition and strategies.