Cognitive Computing Systems

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.

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