Cognitive Computing Systems: Applications and Technological Advancements

✍ Scribed by Vishal Jain (editor), Akash Tayal (editor), Jaspreet Singh (editor), Arun Solanki (editor)

• Publisher: Apple Academic Press
• Year: 2021
• Tongue: English
• Leaves: 425
• Edition: 1
• Category: Library

✦ Synopsis

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

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Contributors
Abbreviations
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
2. Cognitive Machine Learning Framework to Evaluate Competency during the Course Endorsement for Computer Science Postgraduates
3. Cognitive Decision-Making through an Intelligent Database Agent for Predictive Analysis
4. A Convergence of Mining and Machine Learning: The New Angle for Educational Data Mining
5. ApnaDermato: Human Skin Disease Finder Using Machine Learning
6. Artificial Intelligence Technique for Predicting Type 2 Diabetes
PART II: Designing IoT-Based Smart Solutions for Monitoring and Surveillance
7. Smart Interfaces for Development of Comprehensive Health Monitoring Systems
8. IoT-Based Smart Agriculture in India
PART III: Statistical and Mathematical Model-Based Solutions
9. Analysis of Epidemiology: Integrating Computational Models
PART IV: Applying Neural Networks and Deep Learning Models for Cognitive Problems
10. Recent Issues with Machine Vision Applications for Deep Network Architectures
11. Applications of Backpropagation and Conjugate Gradient Neural Networks in Structural Engineering
12. Application of Neural Networks in Construction Management
PART V: Speech and NLP Applications in Cognition
13. Speech Recognition Fundamentals and Features
14. Natural Language Processing
Index