Smart and sustainable intelligent systems / edited by Namita Gupta, Prasenjit Chatterjee and Tanupriya Choudhury.

Includes bibliographical references and index.

Table of Contents
Preface xxv
Acknowledgement xxix

Part 1: MACHINE LEARNING AND ITS APPLICATION 1

1 Single Image Super-Resolution Using GANs for High-Upscaling Factors 3

2 Landmark Recognition Using VGG16 Training 17

3 A Comparison of Different Techniques Used for Classification of Bird Species From Images 41

4 Road Lane Detection Using Advanced Image Processing Techniques 51

5 Facial Expression Recognition in Real Time Using Convolutional Neural Network 73

6 Feature Extraction and Image Recognition of Cursive Handwritten English Words Using Neural Network and IAM Off-Line Database 91

7 License Plate Recognition System Using Machine Learning 103

8 Prediction of Disease Using Machine Learning Algorithms 115

Part 2: DEEP LEARNING AND ITS APPLICATION 127

9 Brain Tumor Prediction by Binary Classification Using VGG-16 129

10 Study of Gesture-Based Communication Translator by Deep Learning Technique 139

11 Transfer Learning for 3-Dimensional Medical Image Analysis 151

12 A Study on Recommender Systems 173

13 Comparing Various Machine Learning Algorithms for User Recommendations Systems 181

14 Indian Literacy Analysis Using Machine Learning Algorithms 191

15 Motion Transfer in Videos using Deep Convolutional Generative Adversarial Networks 205

16 Twin Question Pair Classification 215

17 Exploration of Pixel-Based and Object-Based Change Detection Techniques by Analyzing ALOS PALSAR and LANDSAT Data 229

18 Tracing Bad Code Smells Behavior Using Machine Learning with Software Metrics 245

19 A Survey on Various Negation Handling Techniques in Sentiment Analysis 259

20 Mobile-Based Bilingual Speech Corpus 281

21 Intrusion Detection using Nature-Inspired Algorithms and Automated Machine Learning 295

Part 3: SECURITY AND BLOCKCHAIN 309

22 Distributed Ownership Model for Non-Fungible Tokens 309

23 Comparative Analysis of Various Platforms of Blockchain 323

24 Smart Garbage Monitoring System 341

25 Study of Various Intrusion Detection Systems: A Survey 355

Part 4: COMMUNICATION AND NETWORKS 373

26 Green Communication Technology Management for Sustainability in Organization 375

27 A Means of Futuristic Communication: A Review 387

28 Experimental Evaluation of Security and Privacy in GSM Network Using RTL-SDR 401

29 A Novel Consumer-Oriented Trust Model in E-Commerce 413

30 Data Mining Approaches for Profitable Business Decisions 427

Part 5: LATEST TRENDS IN SUSTAINABLE COMPUTING TECHNIQUES 443

31 Survey on Data Deduplication Techniques for Securing Data in Cloud Computing Environment 445

32 Procedural Music Generation 461

33 Detecting Photoshopped Faces Using Deep Learning 469

34 A Review of SQL Injection Attack and Various Detection Approaches 481

35 Futuristic Communication Technologies 491

36 An Approach for Load Balancing Through Genetic Algorithm 511

Index 525

"The world is experiencing an unprecedented period of change and growth through all the electronic and technological developments and everyone on the planet has been impacted. What was once "science fiction', today it is a reality. This book explores the world of many of once unthinkable advancements by explaining current technologies in great detail. Each chapter focuses on a different aspect--Machine Vision, Pattern Analysis and Image Processing--Advanced Trends in Computational Intelligence and Data Analytics--Futuristic Communication Technologies--Disruptive Technologies for Future Sustainability. The chapters include the list of topics that spans all the areas of smart intelligent systems and computing such as: Data Mining with Soft Computing, Evolutionary Computing, Quantum Computing, Expert Systems, Next Generation Communication, Blockchain and Trust Management, Intelligent Biometrics, Multi-Valued Logical Systems, Cloud Computing and security etc. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her"-- Provided by publisher.

About the Author
Namita Gupta is the Head of Computer Science and Engineering Department at Maharaja Agrasen Institute of Technology, GGSIP University, Delhi, India. She has more than 20 years of teaching experience and has played active role in research and project development. Her current areas of interest and research includes data mining, databases and machine learning.

Prasenjit Chatterjee is an associate professor in the Mechanical Engineering Department at MCKV Institute of Engineering, India. He has more than 80 research papers in various international SCI journals. Dr. Chatterjee is one of the developers of a new multiple-criteria decision-making method called Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS).

Tanupriya Choudhury received his PhD degree in the year 2016 and is an associate professor in Dept. of Computer Science and Engineering at UPES Dehradun, India. His areas of interests include human computing, soft computing, cloud computing, and data mining. He has filed 14 patents till date and received 16 copyrights from MHRD for his own software. He has authored more than 85 research papers.