High-Frequency Stochastic Data Analysis Using a Machine Learning Framework: A Comparative Study / Lokesh Kumar Shrivastav and Ravinder Kumar -- Cognitive Machine Learning Framework to Evaluate Competency During the Course Endorsement for Computer Science Postgraduates / Shivani A. Trivedi and Rebakah Jobdas -- Cognitive Decision-Making Through an Intelligent Database Agent for Predictive Analysis / Shivani A. Trivedi and Rebakah Jobdas -- A Convergence of Mining and Machine Learning: The New Angle for Educational Data Mining / Pratiyush Guleria and Manu Sood -- ApnaDermato: Human Skin Disease Finder Using Machine Learning / Tarun Methwani, Gautam Menghani, Nitin Tejuja, Hemdev Karan, and Raghani Madhu -- Artificial Intelligence Technique for Predicting Type 2 Diabetes / Ramyashree and P.S Venugopala -- Smart Interfaces for Development of ComprehensiveHealth Monitoring Systems / Dinesh Bhatia -- IoT-Based Smart Agriculture in India / Akanksha Gupta and Umang Singh -- Cognitive Internet of Things / Shubham Singh Manhas, Mitali Aahar Rajput, and Deepak Kumar Sharma -- Analysis of Epidemiology: Integrating Computational Models / Deepak Kumar, Vinod Kumar, and Pooja Khurana -- Recent Issues with Machine Vision Applications for Deep Network Architectures / Naresh Kumar -- Applications of Backpropagation and Conjugate Gradient Neural Networks in Structural Engineering / S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka Singh -- Application of Neural Networks in Construction Management / S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka Singh -- Speech Recognition Fundamentals and Features / Gurpreet Kaur, Mohit Srivastava, and Amod Kumar -- Natural Language Processing / V. Vishnuprabha, Lino Murali, and Daleesha M. Viswanathan.

"This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of artificial intelligence that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more. It introduces cognitive computing systems, highlights their key applications, discusses the technologies used in cognitive systems, and explains underlying models and architectures. Focusing on scientific work for real-world applications, each chapter presents the use of cognitive computing and machine learning in specific application areas. These include the use of speech recognition technology, application of neural networks in construction management, elevating competency in education, comprehensive health monitoring systems, predicting type 2 diabetes, applications for smart agricultural technology, human resource management, and more. With chapters from knowledgeable researchers in the area of artificial intelligence, cognitive computing, and allied areas, this book will be an asset for researchers, faculty, advances students, and industry professionals in many fields."-- Provided by publisher.

OCLC-licensed vendor bibliographic record.