Pramod Singh Rathore is an assistant professor in the Department of Computer and Communication Engineering, Manipal University Jaipur, India. He has teaching experience of more than 10 years and has 45 publications in peer-reviewed national and international journals. Sachin Ahuja, PhD, is a professor in the Department of Computer Science, Chandigarh University, Punjab, India. He has guided several ME and PhD scholars in artificial intelligence, machine learning, and data mining. Srinivasa Rao Burri is a senior software engineering manager at Western Union, Denver, Colorado. He completed an MS degree in software development from Boston University. He also has received his certifications in Data Science and Machine Learning from Stanford University, Harvard University and Johns Hopkins University. He started his career as a test automation architect in 2004, and has since worked as a leader for many Fortune 500 Organizations advising them on global compliance, data privatization, cloud migration, and AI & ML. He has published multiple articles in international journals. Ajay Khunteta, PhD, is a dean and professor of computer science and engineering, Poornima University, Jaipur, Rajasthan, India. His research focuses on AI, machine learning, and distributing systems. He has published more than 100 articles in international and national journals and guided 44 M.Tech projects. Anupam Baliyan, PhD, is Dean of Academic Planning and Research, Galgotias University, India. His research focuses on artificial intelligence, computer networks, computer vision, and machine learning. Along with being a chair and keynote speaker at international conferences, Baliyan has guided more than 20 M.Tech projects and theses. Abhishek Kumar, PhD, is an associate professor in the Faculty of Engineering, Manipal University, Jaipur, Rajasthan, India and is currently a Post-Doctoral Fellow in Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, Spain. He has more than 170 publications in peer-reviewed national and international journals and conferences.

• Preface xiii1 Text Extraction from Images Using Tesseract 1Santosh Kumar, Nilesh Kumar Sharma, Mridul Sharma and Nikita Agrawal2 Chili Leaf Classification Using Deep Learning Techniques 19Chenchupalli Chathurya, Diksha Sachdeva and Mamta Arora3 Fruit Leaf Classification Using Transfer Learning Techniques 31Taha Siddiqui, Surbhit Chopra and Mamta Arora4 Classification of University of California (UC), Merced Land-Use Dataset Remote Sensing Images Using Pre-Trained Deep Learning Models 45Abhishek Maurya, Akashdeep and Rohit Kumar5 Sarcastic and Phony Contents Detection in Social Media Hindi Tweets 69Surbhi Sharma and Nisheeth Joshi6 Removal of Haze from Synthetic and Real Scenes Using Deep Learning and Other AI Techniques 85Pushpa Koranga, Ravindra Singh Koranga, Sumitra Singar and Sandeep Gupta7 HOG and Haar Feature Extraction-Based Security System for Face Detection and Counting 99Prachi Soni and Viplav Soni8 A Comparative Analysis of Different CNN Models for Spatial Domain Steganalysis 109Ankita Gupta, Rita Chhikara and Prabha Sharma9 Making Invisible Bluewater Visible Using Machine and Deep Learning Techniques--A Review 129Dineshkumar Singh and Vishnu Sharma10 Fruit Leaf Classification Using Transfer Learning for Automation and Industrial Applications 151Inam Ul Haq, Gursimran Kaur and Adil Husain Rather11 Green AI: Carbon-Footprint Decoupling System 179Bindiya Jain and Shikha Sharma12 Review of State-of-Art Techniques for Political Polarization from Social Media Network 199Akshita Bhatnagar and B.K. Sharma13 Collaborative Design and Case Analysis of Mobile Shopping Apps: A Deep Learning Approach 223Santosh Kumar, Vipul Jain, Abhishek Bairwa and Pradeep Saharan14 Exploring the Potential of Machine Learning and Deep Learning for COVID-19 Detection 235Saimul Bashir, Faisal Firdous and Syed Zoofa RufaiReferences 253Index 257

Pramod Singh Rathore is an assistant professor in the Department of Computer and Communication Engineering, Manipal University Jaipur, India. He has teaching experience of more than 10 years and has 45 publications in peer-reviewed national and international journals. Sachin Ahuja, PhD, is a professor in the Department of Computer Science, Chandigarh University, Punjab, India. He has guided several ME and PhD scholars in artificial intelligence, machine learning, and data mining. Srinivasa Rao Burri is a senior software engineering manager at Western Union, Denver, Colorado. He completed an MS degree in software development from Boston University. He also has received his certifications in Data Science and Machine Learning from Stanford University, Harvard University and Johns Hopkins University. He started his career as a test automation architect in 2004, and has since worked as a leader for many Fortune 500 Organizations advising them on global compliance, data privatization, cloud migration, and AI & ML. He has published multiple articles in international journals. Ajay Khunteta, PhD, is a dean and professor of computer science and engineering, Poornima University, Jaipur, Rajasthan, India. His research focuses on AI, machine learning, and distributing systems. He has published more than 100 articles in international and national journals and guided 44 M.Tech projects. Anupam Baliyan, PhD, is Dean of Academic Planning and Research, Galgotias University, India. His research focuses on artificial intelligence, computer networks, computer vision, and machine learning. Along with being a chair and keynote speaker at international conferences, Baliyan has guided more than 20 M.Tech projects and theses. Abhishek Kumar, PhD, is an associate professor in the Faculty of Engineering, Manipal University, Jaipur, Rajasthan, India and is currently a Post-Doctoral Fellow in Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, Spain. He has more than 170 publications in peer-reviewed national and international journals and conferences.

• Preface xiii1 Text Extraction from Images Using Tesseract 1Santosh Kumar, Nilesh Kumar Sharma, Mridul Sharma and Nikita Agrawal2 Chili Leaf Classification Using Deep Learning Techniques 19Chenchupalli Chathurya, Diksha Sachdeva and Mamta Arora3 Fruit Leaf Classification Using Transfer Learning Techniques 31Taha Siddiqui, Surbhit Chopra and Mamta Arora4 Classification of University of California (UC), Merced Land-Use Dataset Remote Sensing Images Using Pre-Trained Deep Learning Models 45Abhishek Maurya, Akashdeep and Rohit Kumar5 Sarcastic and Phony Contents Detection in Social Media Hindi Tweets 69Surbhi Sharma and Nisheeth Joshi6 Removal of Haze from Synthetic and Real Scenes Using Deep Learning and Other AI Techniques 85Pushpa Koranga, Ravindra Singh Koranga, Sumitra Singar and Sandeep Gupta7 HOG and Haar Feature Extraction-Based Security System for Face Detection and Counting 99Prachi Soni and Viplav Soni8 A Comparative Analysis of Different CNN Models for Spatial Domain Steganalysis 109Ankita Gupta, Rita Chhikara and Prabha Sharma9 Making Invisible Bluewater Visible Using Machine and Deep Learning Techniques--A Review 129Dineshkumar Singh and Vishnu Sharma10 Fruit Leaf Classification Using Transfer Learning for Automation and Industrial Applications 151Inam Ul Haq, Gursimran Kaur and Adil Husain Rather11 Green AI: Carbon-Footprint Decoupling System 179Bindiya Jain and Shikha Sharma12 Review of State-of-Art Techniques for Political Polarization from Social Media Network 199Akshita Bhatnagar and B.K. Sharma13 Collaborative Design and Case Analysis of Mobile Shopping Apps: A Deep Learning Approach 223Santosh Kumar, Vipul Jain, Abhishek Bairwa and Pradeep Saharan14 Exploring the Potential of Machine Learning and Deep Learning for COVID-19 Detection 235Saimul Bashir, Faisal Firdous and Syed Zoofa RufaiReferences 253Index 257

Pramod Singh Rathore is an assistant professor in the Department of Computer and Communication Engineering, Manipal University Jaipur, India. He has teaching experience of more than 10 years and has 45 publications in peer-reviewed national and international journals. Sachin Ahuja, PhD, is a professor in the Department of Computer Science, Chandigarh University, Punjab, India. He has guided several ME and PhD scholars in artificial intelligence, machine learning, and data mining. Srinivasa Rao Burri is a senior software engineering manager at Western Union, Denver, Colorado. He completed an MS degree in software development from Boston University. He also has received his certifications in Data Science and Machine Learning from Stanford University, Harvard University and Johns Hopkins University. He started his career as a test automation architect in 2004, and has since worked as a leader for many Fortune 500 Organizations advising them on global compliance, data privatization, cloud migration, and AI & ML. He has published multiple articles in international journals. Ajay Khunteta, PhD, is a dean and professor of computer science and engineering, Poornima University, Jaipur, Rajasthan, India. His research focuses on AI, machine learning, and distributing systems. He has published more than 100 articles in international and national journals and guided 44 M.Tech projects. Anupam Baliyan, PhD, is Dean of Academic Planning and Research, Galgotias University, India. His research focuses on artificial intelligence, computer networks, computer vision, and machine learning. Along with being a chair and keynote speaker at international conferences, Baliyan has guided more than 20 M.Tech projects and theses. Abhishek Kumar, PhD, is an associate professor in the Faculty of Engineering, Manipal University, Jaipur, Rajasthan, India and is currently a Post-Doctoral Fellow in Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, Spain. He has more than 170 publications in peer-reviewed national and international journals and conferences.

• Preface xiii1 Text Extraction from Images Using Tesseract 1Santosh Kumar, Nilesh Kumar Sharma, Mridul Sharma and Nikita Agrawal2 Chili Leaf Classification Using Deep Learning Techniques 19Chenchupalli Chathurya, Diksha Sachdeva and Mamta Arora3 Fruit Leaf Classification Using Transfer Learning Techniques 31Taha Siddiqui, Surbhit Chopra and Mamta Arora4 Classification of University of California (UC), Merced Land-Use Dataset Remote Sensing Images Using Pre-Trained Deep Learning Models 45Abhishek Maurya, Akashdeep and Rohit Kumar5 Sarcastic and Phony Contents Detection in Social Media Hindi Tweets 69Surbhi Sharma and Nisheeth Joshi6 Removal of Haze from Synthetic and Real Scenes Using Deep Learning and Other AI Techniques 85Pushpa Koranga, Ravindra Singh Koranga, Sumitra Singar and Sandeep Gupta7 HOG and Haar Feature Extraction-Based Security System for Face Detection and Counting 99Prachi Soni and Viplav Soni8 A Comparative Analysis of Different CNN Models for Spatial Domain Steganalysis 109Ankita Gupta, Rita Chhikara and Prabha Sharma9 Making Invisible Bluewater Visible Using Machine and Deep Learning Techniques--A Review 129Dineshkumar Singh and Vishnu Sharma10 Fruit Leaf Classification Using Transfer Learning for Automation and Industrial Applications 151Inam Ul Haq, Gursimran Kaur and Adil Husain Rather11 Green AI: Carbon-Footprint Decoupling System 179Bindiya Jain and Shikha Sharma12 Review of State-of-Art Techniques for Political Polarization from Social Media Network 199Akshita Bhatnagar and B.K. Sharma13 Collaborative Design and Case Analysis of Mobile Shopping Apps: A Deep Learning Approach 223Santosh Kumar, Vipul Jain, Abhishek Bairwa and Pradeep Saharan14 Exploring the Potential of Machine Learning and Deep Learning for COVID-19 Detection 235Saimul Bashir, Faisal Firdous and Syed Zoofa RufaiReferences 253Index 257