Cognitive Computing Systems : Applications and Technological Advancements book cover
1st Edition

Cognitive Computing Systems
Applications and Technological Advancements

  • Available for pre-order. Item will ship after December 15, 2020
ISBN 9781771889315
December 15, 2020 Forthcoming by Apple Academic Press
521 Pages - 9 Color & 121 B/W Illustrations

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Book Description

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.

Table of Contents

1. High-Frequency Stochastic Data Analysis Using a Machine Learning Framework: A Comparative Study

Lokesh Kumar Shrivastav and Ravinder Kumar

2. Speech Recognition Fundamentals and Features

Gurpreet Kaur, Mohit Srivastava, and Amod Kumar

3. Applications of Back Propagation and Conjugate Gradient Neural Networks in Structural Engineering

S. Varadharajan et al.

4. Application of Neural Networks in Construction Management

S. Varadharajan et al.

5. Cognitive Machine Learning (CoML) Framework to Elevate Competency During the Course Endorsement for Computer Science Postgraduates

Shivani A Trivedi and Rebakah Jobdas

6. Cognitive Decision-Making Through an Intelligent Database Agent for Predictive Analysis

Shivani A Trivedi and Rebakah Jobdas

7. A Convergence of Mining and Machine Learning: The New Angle for Educational Data Mining

Guleria, Pratiyush and Sood, Manu

8. Smart Interfaces for Development of Comprehensive Health Monitoring Systems

Dinesh Bhatia

9. IoT-Based Smart Agriculture in India

Akanksha Gupta and Umang Singh

10. Cognitive Internet of Things

Shubham Singh Manhas, Mitali Aahar Rajput, and Deepak Kumar Sharma

11. Natural Language Processing

V. Vishnuprabha, Lino Murali and Daleesha M. Viswanathan

12. Apna Dermato: Human Skin Disease Finder Using Machine Learning

Tarun Methwani et al.

13. Artificial Intelligence Technique for Predicting Type 2 Diabetes

Ramyashree and P. S. Venugopala

14. Analysis of Epidemiology: Integrating Computational Models

Deepak Kumar, Vinod Kumar, and Poojakhurana

15. Neuroscience and Artificial Intelligence in Re-Inventing Human Resource Management

Manasi Vishal Shah


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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.