Advances In Pattern Recognition And Artificial Intelligence
- Length: 276 pages
- Edition: 1
- Language: English
- Publisher: WSPC
- Publication Date: 2021-11-17
- ISBN-10: 9811239002
- ISBN-13: 9789811239007
- Sales Rank: #10646904 (See Top 100 Books)
This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more. Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.
Cover page Title page Copyright Page Preface Contents List of Contributors Chapter 1: Enhanced Lesion Detection in Breast MRI Using Parallel and Cascaded Integration of Deep Learning Models Chapter 2: A Survey on Peripheral Blood Smear Analysis Using Deep Learning Chapter 3: End-to-End Generative Adversarial Network for Hand-Vein Recognition Chapter 4: Diabetic Retinopathy Analysis Based on Retinal Fundus Photographs via Deep Learning Chapter 5: Pattern Recognition in Handwriting Chapter 6: A Deep Reinforcement Learning-based Study on Handwriting Difficulty Analysis Chapter 7: Gender Detection from Handwritten Documents Using the Concept of Transfer Learning Chapter 8: The Wartegg Test Chapter 9: A New Prediction Method for Credit Scoring Based on Sampling Reconstruction of Signal on Graph Chapter 10: Optimal Choices of Features in Image Analysis Chapter 11: A Comprehensive Unconstrained, License Plate Database Chapter 12: Classification of Spanish Criminal News using Neural Networks Chapter 13: Predicting US Elections with Social Media and Neural Networks Chapter 14: Differences and Similarities learning for Unsupervised Feature Selection Index
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