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Biomedical and Other Applications of Soft Computing

  • Book
  • © 2023

Overview

Editors:
  1. Nguyen Hoang Phuong

    1. Informatics Division, Thang Long University, Hoang Mai, Hanoi, Vietnam

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Vladik Kreinovich

    1. Computer Science Department, University of Texas at El Paso, El Paso, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research on Biomedical and Other Applications of Soft Computing
  • Helps to learn more about computational intelligence techniques and their biomedical applications
  • Written by experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 1045)

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Table of contents (24 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Question-Answering System over Knowledge Graphs Using Analogical-Problem-Solving Approach

    • Nhuan D. To, Marek Z. Reformat, Ronald R. Yager
    Pages 1-12

  3. Fuzzy Transform on 1-D Manifolds

    • Thi Minh Tam Pham, Jiří Janeček, Irina Perfilieva
    Pages 13-24

  4. A Systematic Review of Privacy-Preserving Blockchain in e-Medicine

    • Usman Ahmad Usmani, Junzo Watada, Jafreezal Jaafar, Izzatdin Abdul Aziz
    Pages 25-40

  5. Why Rectified Linear Neurons: Two Convexity-Related Explanations

    • Jonatan Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Nguyen Hoang Phuong
    Pages 41-47

  6. How to Work? How to Study? Shall We Cram for the Exams? and How Is This Related to Life on Earth?

    • Olga Kosheleva, Vladik Kreinovich, Nguyen Hoang Phuong
    Pages 49-56

  7. Why Quantum Techniques Are a Good First Approximation to Social and Economic Phenomena, and What Next

    • Olga Kosheleva, Vladik Kreinovich
    Pages 57-66

  8. How the Pavement’s Lifetime Depends on the Stress Level and on the Dry Density: An Explanation of Empirical Formulas

    • Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva, Nguyen Hoang Phuong
    Pages 67-72

  9. Freedom of Will, Physics, and Human Intelligence: An Idea

    • Miroslav Svítek, Vladik Kreinovich, Nguyen Hoang Phuong
    Pages 73-81

  10. Why Normalized Difference Vegetation Index (NDVI)?

    • Francisco Zapata, Eric Smith, Vladik Kreinovich, Nguyen Hoang Phuong
    Pages 83-92

  11. Binary Image Classification Using Convolutional Neural Network for V2V Communication Systems

    • Hoang-Thong Vo, Ngan-Linh Nguyen, Dao N. Ngoc, Trong-Hop Do, Quang-Dung Pham
    Pages 93-103

  12. Topic Model—Machine Learning Classifier Integrations on Geocoded Twitter Data

    • Gillian Kant, Christoph Weisser, Thomas Kneib, Benjamin Säfken
    Pages 105-120

  13. Shop Product Tracking and Early Fire Detection Using Edge Devices

    • Tuan Linh Dang, Viet Tien Ha
    Pages 121-131

  14. SDNs Delay Prediction Using Machine Learning Algorithms

    • Tuan Linh Dang, Nhat Minh Ngo
    Pages 133-141

  15. A Linear Neural Network Approach for Solving Partial Differential Equations on Porous Domains

    • T. T. V. Le, C.-D. Le, K. Le-Cao
    Pages 143-154

  16. Accuracy Measures and the Convexity of ROC Curves for Binary Classification Problems

    • Le Bich Phuong, Nguyen Tien Zung
    Pages 155-163

  17. Stochastic Simulations of Airborne Particles in a Fibre Matrix

    • T. T. V. Le, K. Le-Cao, T. Ba-Quoc, Y. Nguyen-Quoc
    Pages 165-177

  18. Disease Diagnosis Based on Symptoms Description

    • Huong Hoang Luong, Phong Cao Nguyen, Hai Thanh Nguyen
    Pages 179-190

  19. Chest X-Ray Image Analysis with ResNet50, SMOTE and SafeSMOTE

    • Nam Anh Dao, Xuan Tho Dang
    Pages 191-202

  20. Weakly Supervised Localization of the Abnormal Regions in Breast Cancer X-Ray Images Using Patches Classification

    • Nguyen Hoang Phuong, Ha Manh Toan, Le Tuan Linh, Nguyen Ngoc Cuong, Bui My Hanh
    Pages 203-212
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Keywords

About this book

This book describes current and potential use of artificial intelligence and computational intelligence techniques in biomedicine and other application areas. Medical applications range from general diagnostics to processing of X-ray images to e-medicine-related privacy issues.

Medical community understandably prefers methods that have been successful other on other application areas, where possible mistakes are not that critical. This book describes many promising methods related to deep learning, fuzzy techniques, knowledge graphs, and quantum computing. It also describes the results of testing these new methods in communication networks, education, environmental studies, food industry, retail industry, transportation engineering, and many other areas. 

This book helps practitioners and researchers to learn more about computational intelligence methods and their biomedical applications—and to further develop this important research direction.


Editors and Affiliations

  • Informatics Division, Thang Long University, Hoang Mai, Hanoi, Vietnam

    Nguyen Hoang Phuong

  • Computer Science Department, University of Texas at El Paso, El Paso, USA

    Vladik Kreinovich

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