Computational Intelligence for Information Retrieval

Dharmender Saini, Gopal Chaudhary, Vedika Gupta (Herausgeber)

Buch | Hardcover

278 Seiten

2021
CRC Press (Verlag)
978-0-367-68080-0 (ISBN)

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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.

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.

1. Hybrid Computational Intelligence for Pattern Recognition.

2. Secure Image Transmission Using Nested Images.

3. Accist: Automatic Traffic Accident Detection and Notification with Smartphones.

4. Emotion Prediction through EEG Recordings Using Computational Intelligence.

5. Finger Vein Feature Extraction Using Contrast Enhancement Dynamic Histogram Equalization for Image Enhancement.

6. Song Recommendation Using Computational Techniques Based on Mood Detection.

7. Deep Learning Classification of Retinal Images for the Early Detection of Diabetic Retinopathy Disease.

8. Protecting and Analyzing Big Data on Cloud Platforms.

9. Using Flutter to Develop a Hybrid Application of Augmented Reality.

10. Computational Intelligence Techniques for Recommendation System in Big Data.

11. Predicting Melanoma Tumor Size through Machine Learning Approaches.

12. A Fuzzy-Based Approach for Characterization and Identification of Sentiments.

13. Fingerprint Alterations Type Detection and Gender Recognition Using Convolutional Neural Networks and Transfer Learning.

14. Content-Based Image Retrieval Using Intelligent Techniques.

Erscheinungsdatum	16.12.2021
Reihe/Serie	Sensors Communication for Urban Intelligence
Zusatzinfo	31 Tables, black and white; 70 Line drawings, black and white; 41 Halftones, black and white; 111 Illustrations, black and white
Verlagsort	London
Sprache	englisch
Maße	156 x 234 mm
Gewicht	539 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Informatik ► Software Entwicklung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	0-367-68080-7 / 0367680807
ISBN-13	978-0-367-68080-0 / 9780367680800
Zustand	Neuware