Computational Intelligence for Information Retrieval

This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms. The book aims to investigate how computational intelligence frameworks are going to improve information retrieval systems. The emerging and promising state-of-the-art of human–computer interaction is the motivation behind this book. The book covers a wide range of topics, starting from the tools and languages of artificial intelligence to its philosophical implications, and thus provides a plethora of theoretical as well as experimental research, along with surveys and impact studies. Further, the book aims to showcase the basics of information retrieval and computational intelligence for beginners, as well as their integration, and challenge discussions for existing practitioners, including using hybrid application of augmented reality, computational intelligence techniques for recommendation systems in big data, and a fuzzy-based approach for characterization and identification of sentiments.

1. Hybrid Computational Intelligence for Pattern RecognitionAbhishek Bhatt and Vandana Thakur 2. Secure Image Transmission Using Nested ImagesParul Arora, Shriya Khare, Nehal Joshi, Bhaskar Chopra 3. Accist: Automatic Traffic Accident Detection and Notification with SmartphonesVanita Jain, Eeshita Gupta, Manu S Pillai, Priyanshi Bhola, Gopal Chaudhary 4. Emotion Prediction through EEG Recordings Using Computational IntelligenceAsif Hasan, Azizuddin Khan, Asma Parveen, Rajit Nair 5. Finger Vein Feature Extraction Using Contrast Enhancement Dynamic Histogram Equalization for Image EnhancementR. Anandha Jothi, G. Thenmozhi, J. Nityapriya and V. Palanisamy 6. Song Recommendation Using Computational Techniques Based on Mood DetectionMadhav Kindra, Harshit Garg, Srishti Jhunthra, Vikrant Dixit and Vedika Gupta 7. Deep Learning Classification of Retinal Images for the Early Detection of Diabetic Retinopathy DiseaseIndumathi N, Kalanjiyam B and Ramalakshmi R 8. Protecting and Analysing Big Data on Cloud PlatformsAvita Katal, Niharika Singh, Vitesh Sethi, Dr. Susheela Dahiya 9. Using Flutter to Develop a Hybrid Application of Augmented Tarushee Kumar, Sudhanshu Sharma, Anirudh Sharma, Jatin Malhotra and Vedika Gupta 10. Computational Intelligence Techniques for Recommendation System in Big Data Avita Katal, Vinayak Bajoria and Vitesh Sethi 11. Predicting Melanoma Tumor Size through Machine Learning ApproachesDhruv Chadha, Nikita Jain and Vedika Gupta 12. A Fuzzy-Based Approach for Characterization and Identification of SentimentsMadhav Kindra, Vikrant Dixit and Vedika Gupta 13. Fingerprint Alterations Type Detection and Gender Recognition Using Convolutional Neural Networks and Transfer LearningGaurav Kataria, Akansh Gupta, V. Sirish Kaushik, Gopal Chaudhary and Vedika Gupta 14. Content-Based Image Retrieval using Intelligent TechniquesPrashant Srivastava, Manish Khare and Ashish Khare

Gopal Chaudhary is working as an Assistant Professor in Department of Information Technology, at Bharati Vidyapeeth's College of Engineering, New Delhi. Dharmendra Saini is a Professor in Department of Computer Science & Engineering, at Bharati Vidyapeeth’s College of Engineering, New Delhi. Vedika Gupta is an Assistant Professor at Bharati Vidyapeeth's College of Engineering, New Delhi.