Computer Science & Information Management

Cognitive Computing Systems
Applications and Technological Advancements

Editors: Vishal Jain, PhD
Akash Tayal, PhD
Jaspreet Singh, PhD
Arun Solanki, PhD

Cognitive Computing Systems

Published. Available now.
Pub Date: May 2021
Hardback Price: see ordering info
Hard ISBN: 9781771889315
E-Book ISBN: 9781003082033
Pages: 424pp w/index
Binding Type: Hardback
Notes: 29 color and 104 b/w illustrations

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.

CONTENTS:
Preface

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

2. Cognitive Machine Learning (COML Framework to Increase 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

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

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

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

12. 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
13. Speech Recognition Fundamentals and Features
Gurpreet Kaur, Mohit Srivastava, and Amod Kumar

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

Index


About the Authors / Editors:
Editors: Vishal Jain, PhD
Associate Professor, Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U.P. India

Vishal Jain, PhD, is presently working as an Associate Professor at Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U.P. India. Before that, he worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, India. He has more than 14 years of experience in academics. He obtained the degrees of PhD (CSE), MTech (CSE), MBA (HR), MCA, MCP, and CCNA. He has more than 370 research citation indices with Google Scholar (h-index score 9 and i-10 index 9). He has authored more than 70 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 10 books with various reputed publishers, including Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi, India.

Akash Tayal, PhD
Assistant Professor, Department of Electronics and Communication, Indira Gandhi Delhi Technical University for Women, Delhi, India

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. He holds a PhD from IIT Delhi. His current research interests include machine learning, data science and data analytics, image processing, stochastic dynamic facility layout problem, optimization, and meta-heuristic and decision science. He has published articles in various international journals and conference proceedings, such as ANOR, COI, IEEE, GJFSM , IJOR, IJBSR. He is a life member of GLOGIFT Society and IIIE.

Jaspreet Singh, PhD
Associate Professor, Department of Computer Science, School of Engineering, GD Goenka University, Gurgaon, India

Jaspreet Singh, PhD, is an Associate Professor in the Department of Computer Science, School of Engineering, GD Goenka University, Gurgaon, India. Dr. Singh completed his PhD in Information Technology at Guru Gobind Singh Indraprastha University. He also cleared the prestigious UGC-NET and GATE examinations. He has a total of 17 years of teaching experience at the postgraduate level. Dr. Singh has authored chapters for three books. He is a keen researcher and has published many research publications in reputed international journals and conferences, including SCI-indexed journals, including Wireless Networks and International Journal of Communication Systems. Dr. Singh is on the editorial boards of several reputed journals and has also served as a reviewer and TPC member for many journals and conferences. He has guided over 100 dissertations at the master’s level and is currently supervising three PhD scholars. His research interests include wireless networks, sensor networks, algorithms, and deep learning.

Arun Solanki, PhD
Assistant Professor, Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, 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. He has supervised more than 60 MTech dissertations. His research interests span expert system, machine learning, and search engines. He has published many research articles in SCI/Scopus-indexed international journals and has participated at many international conferences. He has been a technical and advisory committee member of many conferences and has chaired and organized many sessions at international conference, workshops, and seminars. Dr. Solanki is working as Associate Editor for the International Journal of Web-Based Learning and Teaching Technologies (IJWLTT). He has also been working as a guest editor for special issues in Recent Patents on Computer Science. Dr. Solanki is the editor of many books and is working as the reviewer for journals published by Springer, IGI Global, Elsevier, and others. He received MTech degree in computer engineering from YMCA University, Faridabad, Haryana, India. He has received his PhD in Computer Science and Engineering from Gautam Buddha University, Greater Noida, India.




Follow us for the latest from Apple Academic Press:
Copyright © 2024 Apple Academic Press Inc. All Rights Reserved.