1st Edition

Cognitive Computing Systems Applications and Technological Advancements

Edited By Vishal Jain, Akash Tayal, Jaspreet Singh, Arun Solanki Copyright 2021
    424 Pages 29 Color & 104 B/W Illustrations
    by Apple Academic Press

    424 Pages 29 Color & 104 B/W Illustrations
    by Apple Academic Press

    424 Pages 29 Color & 104 B/W Illustrations
    by Apple Academic Press

    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.

    Preface

    PART I: USING ASSISTIVE LEARNING TO SOLVE COMPUTATIONALLY INTENSE PROBLEMS
    1. High-Frequency Stochastic Data Analysis Using a Machine Learning Framework: A Comparative Study
    Lokesh Kumar Shrivastav and Ravinder Kumar

    2. Cognitive Machine Learning Framework to Evaluate Competency During the Course Endorsement for Computer Science Postgraduates
    Shivani A. Trivedi and Rebakah Jobdas

    3. Cognitive Decision Making Through an Intelligent Database Agent for Predictive Analysis
    Shivani A Trivedi and Rebakah Jobdas

    4. A Convergence of Mining and Machine Learning: The New Angle for Educational Data Mining
    Guleria, Pratiyush and Sood, Manu

    5. Apna dermato: Human Skin Disease Finder Using Machine Learning
    Tarun Methwani, Gautam Menghani, Nitin Tejuja, Hemdev Karan, and Raghani Madhu

    6. Artificial Intelligence Technique for Predicting Type 2 Diabetes
    Ramyashree and P. S.  Venugopala

    PART II: DESIGNING IoT-BASED SMART SOLUTIONS FOR MONITORING AND SURVILLANCE
    7. Smart Interfaces for Development of Comprehensive Health Monitoring Systems
    Dinesh Bhatia

    8. Iot Based Smart Agriculture in India
    Akanksha Gupta and Umang Singh

    9. Cognitive Internet of Things
    Shubham Singh Manhas, Mitali Aahar Rajput, and Deepak Kumar Sharma

    PART III: STATISTICAL AND MATHEMATICAL MODEL-BASED SOLUTIONS
    10. Analysis of Epidemiology: Integrating Computational Models
    Deepak Kumar, Vinod Kumar, and Poojakhurana

    PART IV: APPLYING NEURAL NETWORKS AND DEEP LEARNING MODELS FOR COGNITIVE PROBLEMS
    11. Recent Issues with Machine Vision Applications for Deep Network Architectures
    Naresh Kumar

    12. Applications of Back Propagation and Conjugate Gradient Neural Networks in Structural Engineering
    S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka Singh

    13. Application of Neural Networks in Construction Management
    S. Varadharajan, Kirthanashri S. Vasanthan, Shwetambra Verma, and Priyanka Singh

    PART V: SPEECH AND NLP APPLICATIONS IN COGNITION
    14. Speech Recognition Fundamentals and Features
    Gurpreet Kaur, Mohit Srivastava, and Amod Kumar

    15. Natural Language Processing
    V. Vishnuprabha, Lino Murali, and Daleesha M. Viswanathan


    Index

    Biography

    Vishal Jain, PhD, is an Associate Professor with Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, India (affiliated with Guru Gobind Singh Indraprastha University, and accredited by the All India Council for Technical Education).

    Akash Tayal, PhD, is an Assistant Professor of the Department of Electronics and Communication at the Indira Gandhi Delhi Technical University for Women, Delhi, India.

    Jaspreet Singh, PhD, is an Associate Professor in the Department of Computer Science, School of Engineering, GD Goenka University, Gurgaon, India.

    Arun Solanki, PhD, is an Assistant Professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India, where he has also held various additional roles over the years.