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

Provides a comprehensive description of the state-of-the-art research and development in the fields of smart intelligent computing systems and its applications in a range of applications by focusing on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries.The world is experiencing an unprecedented period of change and growth through all the electronic and technological developments and everyone on the planet is being 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 the application area of the reader’s interest.AudienceThe book will be read and used by researchers, academicians and industry professionals who work in computer science and engineering, information technology, artificial intelligence, business intelligence, healthcare, machine learning, image processing, medical informatics, automation, big data representation and bioinformatics domains. It will also be valuable to manufacturing technology companies which will be able to use, apply and implement the models presented in this book.