Table Of ContentStudies in Computational Intelligence 1045
Nguyen Hoang Phuong
Vladik Kreinovich Editors
Biomedical
and Other
Applications
of Soft Computing
Studies in Computational Intelligence
Volume 1045
Series Editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Computational Intelligence” (SCI) publishes
new developments and advances in the various areas of computational
intelligence—quickly and with a high quality. The intent is to cover the theory,
applications, and design methods of computational intelligence, as embedded in
the fields of engineering, computer science, physics and life sciences, as well as
the methodologies behind them. The series contains monographs, lecture notes and
edited volumes in computational intelligence spanning the areas of neural networks,
connectionist systems, genetic algorithms, evolutionary computation, artificial
intelligence, cellular automata, self-organizing systems, soft computing, fuzzy
systems, and hybrid intelligent systems. Of particular value to both the contributors
and the readership are the short publication timeframe and the world-wide
distribution, which enable both wide and rapid dissemination of research output.
This series also publishes Open Access books. A recent example is the book Swan,
Nivel, Kant, Hedges, Atkinson, Steunebrink: The Road to General Intelligence
https://link.springer.com/book/10.1007/978-3-031-08020-3
Indexed by SCOPUS, DBLP, WTI Frankfurt eG, zbMATH, SCImago.
All books published in the series are submitted for consideration in Web of Science.
·
Nguyen Hoang Phuong Vladik Kreinovich
Editors
Biomedical and Other
Applications of Soft
Computing
Editors
Nguyen Hoang Phuong Vladik Kreinovich
Informatics Division Computer Science Department
Thang Long University University of Texas at El Paso
Hoang Mai, Hanoi, Vietnam El Paso, TX, USA
ISSN 1860-949X ISSN 1860-9503 (electronic)
Studies in Computational Intelligence
ISBN 978-3-031-08579-6 ISBN 978-3-031-08580-2 (eBook)
https://doi.org/10.1007/978-3-031-08580-2
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Preface
In medical decision-making, it is very important to take into account the experience of
medical doctors—and thus, to supplement traditional statistics-based data processing
techniques with methods of computational intelligence, methods that allow us to take
this experience into account.
In some cases, the existing computational intelligence techniques—often, after
creative modifications—can be efficiently used in biomedical applications. However,
biomedical problems are difficult. As a result, in many situations, the existing compu-
tational intelligence techniques are not sufficient to solve the corresponding prob-
lems. In such situations, we need to develop new techniques—and, ideally, first show
their efficiency on other applications, to make sure that these techniques are indeed
efficient. The fact that these techniques are efficient in so many different areas makes
us hope that they will be useful in biomedical applications as well.
We hope that this volume will help practitioners and researchers to learn more
about computational intelligence techniques and their biomedical applications—and
to further develop this important research direction.
We want to thank all the authors for their contributions and all anonymous referees
for their thorough analysis and helpful comments.
The publication of this volume was partly supported by Thang Long University,
Hanoi, Vietnam. Our thanks to the leadership and staff of this institution for providing
crucial support. Our special thanks to Prof. Hung T. Nguyen for his valuable advice
and constant support.
We would also like to thank Prof. Janusz Kacprzyk (Series Editor) and Dr.
Thomas Ditzinger (Senior Editor, Engineering/Applied Sciences) for their support
and cooperation with this publication.
Hanoi, Vietnam Nguyen Hoang Phuong
El Paso, USA Vladik Kreinovich
December 2021
v
Contents
Question-Answering System over Knowledge Graphs Using
Analogical-Problem-Solving Approach .............................. 1
Nhuan D. To, Marek Z. Reformat, and Ronald R. Yager
Fuzzy Transform on 1-D Manifolds ................................. 13
Thi Minh Tam Pham, Jiˇrí Janecˇek, and Irina Perfilieva
A Systematic Review of Privacy-Preserving Blockchain
in e-Medicine ..................................................... 25
Usman Ahmad Usmani, Junzo Watada, Jafreezal Jaafar,
and Izzatdin Abdul Aziz
Why Rectified Linear Neurons: Two Convexity-Related
Explanations ...................................................... 41
Jonatan Contreras, Martine Ceberio, Olga Kosheleva,
Vladik Kreinovich, and Nguyen Hoang Phuong
How to Work? How to Study? Shall We Cram for the Exams?
and How Is This Related to Life on Earth? ........................... 49
Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
Why Quantum Techniques Are a Good First Approximation
to Social and Economic Phenomena, and What Next .................. 57
Olga Kosheleva and Vladik Kreinovich
How the Pavement’s Lifetime Depends on the Stress Level
and on the Dry Density: An Explanation of Empirical Formulas ....... 67
Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich,
Olga Kosheleva, and Nguyen Hoang Phuong
Freedom of Will, Physics, and Human Intelligence: An Idea ........... 73
Miroslav Svítek, Vladik Kreinovich, and Nguyen Hoang Phuong
vii
viii Contents
Why Normalized Difference Vegetation Index (NDVI)? ............... 83
Francisco Zapata, Eric Smith, Vladik Kreinovich,
and Nguyen Hoang Phuong
Binary Image Classification Using Convolutional Neural Network
for V2V Communication Systems ................................... 93
Hoang-Thong Vo, Ngan-Linh Nguyen, Dao N. Ngoc, Trong-Hop Do,
and Quang-Dung Pham
Topic Model—Machine Learning Classifier Integrations
on Geocoded Twitter Data .......................................... 105
Gillian Kant, Christoph Weisser, Thomas Kneib, and Benjamin Säfken
Shop Product Tracking and Early Fire Detection Using Edge
Devices ........................................................... 121
Tuan Linh Dang and Viet Tien Ha
SDNs Delay Prediction Using Machine Learning Algorithms .......... 133
Tuan Linh Dang and Nhat Minh Ngo
A Linear Neural Network Approach for Solving Partial Differential
Equations on Porous Domains ...................................... 143
T. T. V. Le, C.-D. Le, and K. Le-Cao
Accuracy Measures and the Convexity of ROC Curves for Binary
Classification Problems ............................................ 155
Le Bich Phuong and Nguyen Tien Zung
Stochastic Simulations of Airborne Particles in a Fibre Matrix ......... 165
T. T. V. Le, K. Le-Cao, T. Ba-Quoc, and Y. Nguyen-Quoc
Disease Diagnosis Based on Symptoms Description ................... 179
Huong Hoang Luong, Phong Cao Nguyen, and Hai Thanh Nguyen
Chest X-Ray Image Analysis with ResNet50, SMOTE
and SafeSMOTE .................................................. 191
Nam Anh Dao and Xuan Tho Dang
Weakly Supervised Localization of the Abnormal Regions
in Breast Cancer X-Ray Images Using Patches Classification .......... 203
Nguyen Hoang Phuong, Ha Manh Toan, Le Tuan Linh,
Nguyen Ngoc Cuong, and Bui My Hanh
Effects Evaluation of Data Augmentation Techniques on Common
Seafood Types Classification Tasks .................................. 213
Hai Thanh Nguyen, Ngan Kim Thi Nguyen, Chi Le Hoang Tran,
and Huong Hoang Luong
Image Caption Generator with a Combination Between
Convolutional Neural Network and Long Short-Term Memory ........ 225
Duy Thuy Thi Nguyen and Hai Thanh Nguyen
Contents ix
Clothing Classification Using Shallow Convolutional Neural
Networks ......................................................... 239
Mai Truc Lam Nguyen and Hai Thanh Nguyen
Similar Vietnamese Document Detection in Online Assignment
Submission System ................................................ 251
Hai Thanh Nguyen, Trinh Kieu Nguyen, Minh Tri Pham,
Chi Le Hoang Tran, Tran Thanh Dien, and Nguyen Thai-Nghe
A Study of Causal Modeling with Time Delay for Frost Forecast
Using Machine Learning from Data ................................. 265
Shugo Yoshida, Yosuke Tamura, Kenta Owada, Liya Ding,
Kosuke Noborio, and Kazuki Shibuya
Question-Answering System
over Knowledge Graphs Using
Analogical-Problem-Solving Approach
Nhuan D. To, Marek Z. Reformat, and Ronald R. Yager
Abstract We introduce an analogical-problem-solving based question-answering
system, LingTeQA. It generates templates from known pairs (cid:2)question-SPARQL
query(cid:3)and uses generated templates to answer newly asked questions. These ques-
tions can be of regular/usual form and can contain imprecise concepts represented
by linguistic terms. The system works over open-domain Knowledge Graphs on the
Web. In addition, LingTeQA can generate linguistic summaries to answer questions
whose answers contain large amounts of numerical values. This system is accessible
at https://www.lingteqa.site.
1 Introduction
Large amounts of structured data is being published on theWeb in the representation
format of Resource Description Framework (RDF). The data constitute multitude
of RDF datasets in various domains such as publication, life sciences, social net-
working. The datasets are regarded as Knowledge Graphs (KGs) that provide useful
information for a variety of applications, including Question-Answering (QA) sys-
tems, i.e., computer programs that answer end-users questions posed in a natural
language.
N. D. To
University of Alberta, Canada & Nam Dinh University of Technology Education, Nam Dinh,
Vietnam
e-mail: [email protected]
B
M. Z. Reformat ( )
University of Alberta, Canada & University of Social Sciences, Lodz, Poland
e-mail: [email protected]
R. R. Yager
Iona College, New Rochelle, NY 10801 & King Abdelaziz University, Jeddah, Saudi Arabia
e-mail: [email protected]
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 1
N. H. Phuong and V. Kreinovich (eds.), Biomedical and Other Applications of Soft
Computing, Studies in Computational Intelligence 1045,
https://doi.org/10.1007/978-3-031-08580-2_1
