Intelligent Systems

Advances in Biometric Systems, Soft Computing, Image Processing, and Data Analytics
1. Auflage 2021
ISBN: 978-1-77463-479-0
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 320 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 431 g

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models.

Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.

Autoren/Hrsg.

Lal Chowdhary, Chiranji

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement

Inhaltsverzeichnis

Part 1: Biometric Systems And Image Processing 1. Intelligent Techniques: An Overview 2. A Survey on Artificial Intelligence Techniques Used in Bio-Metric Systems 3. Speech-Based Biometric Using Odia Phonetics 4. Deep Learning Techniques to Classify and Analyze Medical Imaging Data 5. Face Recognition System: An Overview 6. An Overview on the Concept of Speaker Recognition 7. Analysis of a Unimodal and Multimodal Biometric System Part 2: Soft Computing And Data Analytics 8. A Heuristic Approach of Parameter Tuning in a Smote-Based Preprocessing Algorithm for Imbalanced Ordinal Classification 9. Aspects of Deep Learning: Hyper-Parameter Tuning, Regularization, and Normalization 10. Super-Resolution of Reconstruction of Infrared Images Adopting Counter Neural Networks 11. High-End Tools and Technologies for Managing Data in the Age of Big Data 12. An AI-Based Chatbot Using Deep Learning Part 3: Intelligent Systems And Hybrid Systems 13. A Real-Time Data Analytics-Based Crop Diseases Recognition System 14. Image Caption Generation with Beam Search

Über Autor(innen)

Chiranji Lal Chowdhary, PhD, is currently Associate Professor in the School of Information Technology & Engineering at VIT Vellore, India. He has over 15 years of experience in academia and industry. He has published many papers in refereed journals and has attended international conferences. He has contributed many chapters and is currently in the process of editing several books. He has received awards for publishing research papers from VIT University several times. His publications have been indexed by Clarivate Analytics, IEEE Computer Society, SCOPUS, the ACM Digital Library, and other abstract and citation databases.

He has guided more than 20 graduate projects and more than 20 postgraduate-level projects. Dr. Chowdhary is a reviewer for many reputed journals and is a life member of the Computer Society of India, the Indian Science Congress Association, and the Indian Society for Technical Education. His current research includes digital image processing, deep learning, pattern recognition, soft computing, and biometric systems.