Hemanth j artificial intelligence and applied mathematics in engineering problem 2020

Lecture Notes on Data Engineering
and Communications Technologies 43

D. Jude Hemanth
Utku Kose Editors

Artificial Intelligence
and Applied Mathematics
in Engineering Problems
Proceedings of the International
Conference on Artificial Intelligence
and Applied Mathematics in Engineering
(ICAIAME 2019)


Lecture Notes on Data Engineering
and Communications Technologies
Volume 43

Series Editor
Fatos Xhafa, Technical University of Catalonia, Barcelona, Spain


The aim of the book series is to present cutting edge engineering approaches to data
technologies and communications. It will publish latest advances on the engineering
task of building and deploying distributed, scalable and reliable data infrastructures
and communication systems.
The series will have a prominent applied focus on data technologies and
communications with aim to promote the bridging from fundamental research on
data science and networking to data engineering and communications that lead to
industry products, business knowledge and standardisation.

** Indexing: The books of this series are submitted to ISI Proceedings,
MetaPress, Springerlink and DBLP **

More information about this series at />

D. Jude Hemanth Utku Kose
•

Editors

Artificial Intelligence
and Applied Mathematics
in Engineering Problems
Proceedings of the International Conference
on Artificial Intelligence and Applied
Mathematics in Engineering
(ICAIAME 2019)

123


Editors
D. Jude Hemanth
Department of ECE
Karunya University
Coimbatore, Tamil Nadu, India

Utku Kose
Department of Computer Engineering,
Faculty of Engineering

Suleyman Demirel University
Isparta, Isparta, Turkey

ISSN 2367-4512
ISSN 2367-4520 (electronic)
Lecture Notes on Data Engineering and Communications Technologies
ISBN 978-3-030-36177-8
ISBN 978-3-030-36178-5 (eBook)
/>© Springer Nature Switzerland AG 2020
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part
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This Springer imprint is published by the registered company Springer Nature Switzerland AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland


Preface

On behalf of the proceedings editors and the organization committee, it is with deep
honor that I write this Preface to the Proceedings of the International Conference on

Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019)
held in Antalya, Manavgat (Turkey). The objective of the conference was to promote in academia, industry, organizations and governments, progress and expansion of knowledge concerning artificial intelligence and mathematical modeling
techniques for advancing day-to-day affairs to make better and smart living. The
conference provided the opportunity to exchange ideas on machine learning, deep
learning, robotics, algorithm design for intelligent solutions, image processing,
prediction and diagnosis applications, operations research, discrete mathematics
and general engineering applications, to experience the state-of-the-art technologies, identify solutions and build collaborations for real-time implementations. In
this context, the event provided a three-day, enjoyable scientific environment for all
authors and participants to share–discuss their research results and experiences with
an international audience.
Based on reviews from the scientific committee and the external reviewers, a
total of 197 papers have been accepted to be presented within around 40 parallel
sessions. The proceedings are published by Springer under the Springer Series:
Lecture Notes on Data Engineering and Communications Technologies, and the
extended versions of papers with post-processing review will be published under
some reputable journals. In terms of international scope, ICAIAME 2019 included
contributions by 18 different countries such as Algeria, China, Cyprus, Denmark,
England, France, India, Iraq, Jordan, Kuwait, Lebanon, Mexico, Pakistan, Palestine,
Switzerland, Trinidad Tobago, Turkey and USA. It is great to see the outcomes
of the research by the authors have found their way to the literature, thanks to
valuable efforts shown in that remarkable event.
In addition to the contributed papers, a total of six invited keynote presentations
were delivered by top experts in artificial intelligence and applied mathematics.
Dr. Çetin Elmas highlighted the importance of ‘Artificial Intelligence in Project
Management,’ Dr. Jude Hemanth covered technical aspects of ‘Innovative Artificial

v


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Preface

Intelligence Approaches for Medical Image Analysis,’ Dr. Paniel Reyes Cárdenas
discussed ‘Diagrammatic Reasoning, Topological Mathematics and Artificial
Intelligence,’ Dr. Ali Allahverdi enlightened the audience with regard to ‘How to
Publish Your Paper in a Reputable Journal,’ Dr. Ender Özcan discussed ‘Recent
Progress in Selection Hyper-Heuristics for Intelligent Optimisation’ and finally
Dr. Ekrem Savaş elaborated the topic titled ‘Some Sequence Spaces defined by
Invariant Mean.’
The success of ICAIAME 2019 depends completely on the effort, talent and
energy of researchers in the field of computer-based systems who have written and
submitted papers on a variety of topics. Praise is also deserved for the organizing
and scientific committee members, and external reviewers, who have invested
significant time in analyzing and assessing multiple papers, as holding and maintaining a high standard of quality for this conference. The ICAIAME will act as
strong base for researchers and scientists in the form of that excellent reference
book.
I would like to thank all authors and participants for their contributions.
Anand Nayyar


Preface

Artificial intelligence (AI) is an exciting field of knowledge that had an explosion of
sophistication and technical nuance in the last few years. Let us consider only how
the state of AI was purely hypothetical in many ways only 50 years ago and now we
have not only developments that were envisaged in the wildest imaginations, but
developments that were not even expected. No doubt that AI is a field that has
incited us to question about the nature of what we define as intelligence and the
limits of our concepts about it.

However, though the discipline of AI in itself is essentially transdisciplinary,
there is an important connection with philosophy that has not always been underlined properly: on the one hand because we need to every now and again stop and
think the meaning of the achievements we have gotten thus far. On the other hand,
philosophy becomes important to even question what we want to achieve. We need
philosophy of AI to relate the achievements and plans that we engineer with the
highest purposes of humankind. Indeed, no discipline of knowledge is alien to
human ethical issues and AI is not the exception.
One of the important lessons we have learned in the last few decades is, in my
opinion, the ability to acknowledge that AI does not need to be necessarily modeled
in human intelligence, and that human minds have aspects that cannot be translated
into modeling due to its own very nature of being self-conscious in ways that
artificial systems are not. But the illustration also works for us: There are advantages that AI has given us that make humans recognize that we can flourish by
integrating to our life developments that are exclusive of AI systems and we could
not do by ourselves. For example, the world of mass communications has indeed
made people be easily connected and promoted an encounter of cultures that
otherwise can have little or no dialogue at all. In this way, AI has made us more
human and we can so give flesh to people who were not visible to us before.
A prominent aspect of the discussions between mathematicians, engineers,
designers and philosophers is acknowledging that AI has grown in such a way that
illustrates us for having new ideas that are informing ethics, aesthetics, art, experimental sciences such as chemistry and metaphysics, medicine and even philosophy.

vii


viii

Preface

Philosophy of AI is then an important activity within the disciplines of AI:
Engineers need the motivation to strive for better and deeper understanding of the

capacities of managing information. A philosophical dose of thought helps the
engineer to understand that her or his contribution is absolutely valuable and crucial
to the growth of humanity, and that technical advances are always a step forward in
developing our humanity. However, the philosophical dose of the engineer also
helps her or him to acknowledge that there are ethical responsibilities to humanity,
to truth and to the advancement of AI. The drive that has led us to where we are has
been an unrestricted desire for knowledge much more than economical rewards, for
example.
This Springer edited collection at hand that came from the International
Conference on Artificial Intelligence and Applied Mathematics in Engineering
(ICAIAME 2019) is a great example of a sincere desire to have a dialogue guided
by truth and openness, and the human exchange of ideas has been a model to follow
for other disciplines, since the mathematicians and engineers are less prone to be
affected by other egoistic interests but by a thirst of knowledge and inquiry. All the
contributions connect in fascinating and innovative ways.
Paniel Reyes Cárdenas


Organization

International Conference on Artificial Intelligence
and Applied Mathematics in Engineering 2019
Web:
E-Mail:

Briefly About
International Conference on Artificial Intelligence and Applied Mathematics in
Engineering (ICAIAME 2019) held within April 20-21-22, 2019, at the Antalya,
Manavgat (Turkey), which is the pearl of the Mediterranean, heaven corner of
Turkey and the fourth most visited city in the world.

The main theme of the conference, which was held at Bella Resort & Spa with
international participations along a three-day period, is solutions of artificial
intelligence and applied mathematics in engineering applications. The languages
of the ICAIAME 2019 are English and Turkish.

Scope/Topics
Conference Scope/Topics (as not limited to):
In Engineering Problems:
•
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•
•

Machine Learning Applications
Deep Learning Applications
Intelligent Optimization Solutions
Robotics/Soft Robotics and Control Applications
Hybrid System-Based Solutions
Algorithm Design for Intelligent Solutions
Image/Signal Processing Supported Intelligent Solutions
Data Processing-Oriented Intelligent Solutions
ix


x

•
•
•
•
•
•
•
•
•

Organization

Prediction and Diagnosis Applications
Linear Algebra and Applications
Numerical Analysis
Differential Equations and Applications
Probability and Statistics
Operations Research and Optimization
Discrete Mathematics and Control
Nonlinear Dynamical Systems and Chaos
General Engineering Applications

Honorary Chairs
İlker Hüseyin Çarikçi
İbrahim Diler
Ekrem Savaş

Rector of Süleyman Demirel University, Turkey
Rector of Applied Sciences University of Isparta,
Turkey

Rector of Uşak University, Turkey

General Chair
Tuncay Yiğit

Süleyman Demirel University, Turkey

Conference Chairs
İsmail Serkan Üncü
Utku Köse

Applied Sciences University of Isparta, Turkey
Süleyman Demirel University, Turkey

Organizing Committee
Mehmet Gürdal
Anar Adiloğlu
Şemsettin Kilinçarslan
Akram M. Zeki
Bogdan Patrut
Hasan Hüseyin Sayan
Kemal Polat
Halil İbrahim Koruca
Uğur Güvenç
Okan Bingöl
Yusuf Sönmez
Ali Hakan Işik
Hamdi Tolga Kahraman
Ercan Nurcan Yilmaz
Cemal Yilmaz

Asım Sinan Yüksel

Süleyman Demirel University, Turkey
Süleyman Demirel University, Turkey
Süleyman Demirel University, Turkey
International Islamic University Malaysia,
Malaysia
Alexandru Ioan Cuza University of Iasi, Romania
Gazi University, Turkey
Bolu Abant İzzet Baysal University, Turkey
Süleyman Demirel University, Turkey
Düzce University, Turkey
Applied Sciences University of Isparta, Turkey
Gazi University, Turkey
Mehmet Akif Ersoy University, Turkey
Karadeniz Technical University, Turkey
Gazi University, Turkey
Gazi University, Turkey
Süleyman Demirel University, Turkey


Organization

Muhammed Maruf Öztürk
Mehmet Kayakuş
Mevlüt Ersoy
Gürcan Çetin
Osman Özkaraca
Ferdi Saraç
Hamit Armağan

Murat Ince
Gül Fatma Türker

xi

Süleyman Demirel University, Turkey
Akdeniz University, Turkey
Süleyman Demirel University, Turkey
Muğla Sıtkı Koçman University, Turkey
Muğla Sıtkı Koçman University, Turkey
Süleyman Demirel University, Turkey
Süleyman Demirel University, Turkey
Süleyman Demirel University, Turkey
Süleyman Demirel University, Turkey

Secretary
Nilgün Şengöz

Mehmet Akif Ersoy University, Turkey

Accommodation/Venue Desk
Doctorant Merve Aydemir

Süleyman Demirel University, Turkey

Travel/Transportation
Şadi Fuat Çankaya

Süleyman Demirel University, Turkey

Web/Design/Conference Sessions
Ali Topal

Süleyman Demirel University, Turkey

Scientific Committee
Tuncay Yiğit
(General Chair)
Utku Köse
(Committee Chair)
Ahmet Bedri Sözer
Ali Öztürk
Anar Adiloğlu
Aslanbek Naziev
Ayhan Erdem
Çetin Elmas
Daniela Elena Popescu
Eduardo Vasconcelos
Eşref Adali
Hüseyin Demir
Hüseyin Merdan
Igbal Babayev

Süleyman Demirel University, Turkey
Süleyman Demirel University, Turkey
Fırat University, Turkey
Düzce University, Turkey
Süleyman Demirel University, Turkey
Ryazan State University, Russia
Gazi University, Turkey

Gazi University, Turkey
University of Oradea, Romania
Goias State University, Brazil
İstanbul Technical University, Turkey
Samsun 19 May University, Turkey
TOBB University Economy and Technology,
Turkey
Azerbaijan Technical University, Azerbaijan


xii

Igor Litvinchev
İbrahim Üçgül
İbrahim Yücedağ
Jose Antonio
Marmolejo
Junzo Watada
Marwan Bikdash
Mehmet Ali Akçayol
Mehmet Gürdal
Melih Günay
Mustafa Alkan
Nuri Özalp
Oktay Duman
Ömer Akin
Recep Demirci
Resul Kara
Reşat Selbaş
Sabri Koçer

Sadık Ülker
Sergey Bushuyev
Yusuf Öner
Ahmet Cüneyd Tantuğ
Akram M. Zeki
Alexandrina Mirela
Pater
Ali Hakan Işik
Arif Özkan
Aydın Çetin
Bogdan Patrut
Cemal Yilmaz
Devrim Akgün
Ender Ozcan
Ercan Nurcan Yilmaz
Erdal Kiliç
Erman Erkan
Ezgi Ülker
Gültekin Özdemir
Hasan Hüseyin Sayan
Hüseyin Şeker
İlhan Koşalay
İsmail Serkan Üncü

Organization

Nuevo Leon State University, Mexico
Süleyman Demirel University, Turkey
Düzce University, Turkey
Panamerican University, Mexico

Universiti Teknologi PETRONAS, Malaysia
North Carolina Agricultural and Tech State
University, USA
Gazi University, Turkey
Süleyman Demirel University, Turkey
Akdeniz University, Turkey
Gazi University, Turkey
Ankara University, Turkey
TOBB University Economy and Technology,
Turkey
TOBB University Economy and Technology,
Turkey
Gazi University, Turkey
Düzce University, Turkey
Applied Sciences University of Isparta, Turkey
Necmettin Erbakan University, Turkey
European University of Lefke, Cyprus
Kyiv National University, Ukraine
Pamukkale University, Turkey
İstanbul Technical University, Turkey
International Islamic University Malaysia,
Malaysia
University of Oradea, Romania
Mehmet Akif Ersoy University, Turkey
Kocaeli University, Turkey
Gazi University, Turkey
Alexandru Ioan Cuza University of Iasi, Romania
Gazi University, Turkey
Sakarya University, Turkey
University of Nottingham, England

Gazi University, Turkey
Samsun 19 May University, Turkey
Atılım University, Turkey
European University of Lefke, Cyprus
Süleyman Demirel University, Turkey
Gazi University, Turkey
Northumbria University, England
Ankara University, Turkey
Applied Sciences University of Isparta, Turkey


Organization

J. Anitha
Jude Hemanth
Kemal Polat
M. Kenan Döşoğlu
Mehmet Karaköse
Mehmet Sıraç Özerdem
Muharrem Tolga
Sakalli
Murat Kale
Okan Bingöl
Özgür Aktunç
Sedat Akleylek
Selami Kesler
Selim Köroğlu
Tiberiu Socaciu
Tolga Ovatman
Ümit Deniz Uluşar

Abdulkadir Karaci
Ali Şentürk
Arif Koyun
Barış Akgün
Deepak Gupta
Dmytro Zubov

Erdal Aydemir
Fatih Gökçe
Gür Emre Güraksin
Iulian Furdu
Mehmet Kayakuş
Mehmet Onur Olgun
Muhammed Hanefi
Calp
Mustafa Nuri Ural
Okan Oral
Osman Palanci
Paniel Reyes Cardenas
S. T. Veena
Serdar Biroğul
Serdar Çiftçi
Ufuk Özkaya
Veli Çapali

xiii

Karunya University, India
Karunya University, India
Bolu Abant İzzet Baysal University, Turkey

Düzce University, Turkey
Fırat University, Turkey
Dicle University, Turkey
Trakya University, Turkey
Düzce University, Turkey
Applied Sciences University of Isparta, Turkey
St. Mary’s University, USA
Samsun 19 May University, Turkey
Pamukkale University, Turkey
Pamukkale University, Turkey
Stefan cel Mare University of Suceava, Romania
İstanbul Technical University, Turkey
Akdeniz University, Turkey
Kastamonu University, Turkey
Applied Sciences University of Isparta, Turkey
Süleyman Demirel University, Turkey
Koç University, Turkey
Maharaja Agrasen Institute of Technology, India
University of Information Science
and Technology “St. Paul The Apostle”,
Macedonia
Süleyman Demirel University, Turkey
Süleyman Demirel University, Turkey
Afyon Kocatepe University, Turkey
Vasile Alecsandri University of Bacau, Romania
Akdeniz University, Turkey
Süleyman Demirel University, Turkey
Karadeniz Technical University, Turkey
Gümüşhane University, Turkey
Akdeniz University, Turkey

Süleyman Demirel University, Turkey
Popular Autonomous University of the State
of Puebla, Mexico
Kamaraj Engineering and Technology
University, India
Düzce University, Turkey
Harran University, Turkey
Süleyman Demirel University, Turkey
Uşak University, Turkey


xiv

Vishal Kumar
Anand Nayyar
Simona Elena Varlan
Ashok Prajapati
Katarzyna
Rutczyńska-Wdowiak
Nabi Ibadov
Özkan Ünsal

Organization

Bipin Chandra Tripathi Kumaon Institute
of Technology, India
Duy Tan University, Vietnam
Vasile Alecsandri University of Bacau, Romania
FANUC America Corp., USA
Kielce University of Technology, Poland

Warsaw University of Technology, Poland
Süleyman Demirel University, Turkey

Keynote Speaks
Çetin Elmas
Gazi University, Turkey
“Artificial Intelligence in Project Management”
Ekrem Savaş
Usak University, Turkey
“Some Sequence Spaces Defined By Invariant Mean”
Ali Allahverdi
Kuwait University, Kuwait
“How to Publish Your Paper in a Reputable Journal”
Jude Hemanth
Karunya University, India
“Innovative Artificial Intelligence Approaches for Medical Image Analysis”
Ender Ozcan
University of Nottingham, England
“Recent Progress in Selection Hyper-heuristics for Intelligent Optimisation”
Paniel Reyes Cárdenas
Popular Autonomous University of the State of Puebla, Mexico
“Diagrammatic Reasoning, Topological Mathematics and Artificial Intelligence”


Acknowledgement

As the editors, we would like to thank Dr. Gül Fatma TÜRKER (Süleyman Demirel
University, Turkey) for her valuable efforts on pre-organization of the book content
and the Springer team for their great support to publish the book.

xv


Contents

State and Trends of Machine Learning Approaches in Business:
An Empirical Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Samia Chehbi-Gamoura, Ridha Derrouiche, Halil-Ibrahim Koruca,
and Umran Kaya
Piecewise Demodulation Based on Combined Artificial
Neural Network for Quadrate Frequency Shift Keying
Communication Signals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Nihat Daldal and Kemal Polat
A New Variable Ordering Method for the K2 Algorithm . . . . . . . . . . .
Betül Uzbaş and Ahmet Arslan

1

17
25

A Benefit Optimization Approach to the Evaluation
of Classification Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Shellyann Sooklal and Patrick Hosein

35

Feature Extraction of Hidden Oscillation in ECG Data
via Multiple-FOD Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Ekin Can Erkuş and Vilda Purutçuoğlu

47

Financial Fraud Detection Through Artificial Intelligence . . . . . . . . . . .
Roman Rodriguez-Aguilar, Jose A. Marmolejo-Saucedo, Pandian Vasant,
and Igor Litvinchev

57

Deep Learning-Based Software Energy Consumption Profiling . . . . . . .
Muhammed Maruf Öztürk

73

Implementation of GIS for the Sanitation System in El-Oued City . . . .
Brarhim Lejdel

84

Prediction of Potential Bank Customers:
Application on Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Muhammet Sinan Başarslan and İrem Düzdar Argun

96

xvii


xviii

Contents

The Model Selection Methods for Sparse Biological Networks . . . . . . . . 107
Mehmet Ali Kaygusuz and Vilda Purutçuoğlu
ICS Cyber Attack Analysis and a New Diagnosis Approach . . . . . . . . . 127
Ercan Nurcan Yılmaz, Hasan Hüseyin Sayan, Furkan Üstünsoy,
Serkan Gönen, Erhan Sindiren, and Gökçe Karacayılmaz
Investigating the Impact of Code Refactoring Techniques
on Energy Consumption in Different Object-Oriented
Programming Languages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142
Ibrahim Sanlialp and Muhammed Maruf Ozturk
Determination of Numerical Papillae Distribution Affecting
the Taste Sensitivity on the Tongue with Image
Processing Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153
Sefa Çetinkol and İsmail Serkan Üncü
Comparison of Image Quality Measurements in Threshold
Determination of Most Popular Gradient Based Edge Detection
Algorithms Based on Particle Swarm Optimization . . . . . . . . . . . . . . . . 171
Nurgül Özmen Süzme and Gür Emre Güraksın
A Hybrid Approach for the Sentiment Analysis of Turkish
Twitter Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182
H. A. Shehu and S. Tokat
Text Mining and Statistical Learning for the Analysis of the Voice
of the Customer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191
Rosalía Andrade Gonzalez, Roman Rodriguez-Aguilar,
and Jose A. Marmolejo-Saucedo
A Decision Support System for Role Assignment in Software
Project Management with Evaluation of Personality Types . . . . . . . . . . 200
Azer Celikten, Eda Kurt, and Aydin Cetin
A Survey of Methods for the Construction of an Intrusion

Detection System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211
Abdel Karim Kassem, Shymaa Abo Arkoub, Bassam Daya,
and Pierre Chauvet
A Novel Hybrid Model for Vendor Selection in a Supply Chain
by Using Artificial Intelligence Techniques Case Study:
Petroleum Companies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226
Mohsen Jafari Nodeh, M. Hanefi Calp, and İsmail Şahin
Effect the Number of Reservations on Implementation of Operating
Room Scheduling with Genetic Algorithm . . . . . . . . . . . . . . . . . . . . . . . 252
Tunahan Timuçin and Serdar Biroğul


Contents

xix

Identifying Driver Behaviour Through Onboard Diagnostic Using
CAN Bus Signals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266
Gül Fatma Türker and Fatih Kürşad Gündüz
Statistical Learning Applied to Malware Detection . . . . . . . . . . . . . . . . 276
Roman Rodriguez-Aguilar and Jose A. Marmolejo-Saucedo
A Novel Model for Risk Estimation in Software Projects Using
Artificial Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295
M. Hanefi Calp and M. Ali Akcayol
Routing of Maintenance and Repair Operations of Mobile Based
Fault Notifications of Municipal Services . . . . . . . . . . . . . . . . . . . . . . . . 320
Tuncay Yiğit and Huseyin Coskun
Safe Map Routing Using Heuristic Algorithm Based on Regional
Crime Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335
Atakan Alpkoçak and Aydin Cetin

Image Spam Detection Using FENOMAA Technique . . . . . . . . . . . . . . . 347
Aziz Barbar and Anis Ismail
Fault Detection of CNC Machines from Vibration Signals Using
Machine Learning Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365
Huseyin Canbaz and Kemal Polat
Energy Hub Economic Dispatch by Symbiotic Organisms
Search Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375
Uğur Güvenç, Burçin Özkaya, Hüseyin Bakir, Serhat Duman,
and Okan Bingöl
An Extended Business Process Representation for Integrating IoT
Based on SWRL/OWL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386
Lynda Djakhdjakha, Djehina Boukara, Mounir Hemam,
and Zizette Boufaida
A Review on Watermarking Techniques for Multimedia Security . . . . . 406
Hüseyin Bilal Macit and Arif Koyun
Realization of Artificial Neural Networks on FPGA . . . . . . . . . . . . . . . . 418
Mevlut Ersoy and Cem Deniz Kumral
Estimation of Heart Rate and Respiratory Rate from
Photoplethysmography Signal for the Detection of Obstructive
Sleep Apnea . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429
E. Smily Jeya Jothi and J. Anitha
Improved Social Spider Algorithm via Differential Evolution . . . . . . . . 437
Fatih Ahmet Şenel, Fatih Gökçe, and Tuncay Yiğit


xx

Contents

Gender Determination from Teeth Images via Hybrid Feature

Extraction Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 446
Betül Uzbaş, Ahmet Arslan, Hatice Kök, and Ayşe Merve Acılar
Simulated Annealing Algorithm for a Medium-Sized TSP Data . . . . . . . 457
Mehmet Fatih Demiral and Ali Hakan Işik
Gene Selection in Microarray Data Using an Improved Approach
of CLONALG . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 466
Ezgi Deniz Ülker
Improvement for Traditional Genetic Algorithm to Use
in Optimized Path Finding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 473
Hasan Alp Zengin and Ali Hakan Işik
Investigation of the Most Effective Meta-Heuristic Optimization
Technique for Constrained Engineering Problems . . . . . . . . . . . . . . . . . 484
Hamdi Tolga Kahraman and Sefa Aras
The Development of Artificial Intelligence-Based Web Application
to Determine the Visibility Level of the Objects on the Road . . . . . . . . . 502
Mehmet Kayakuş and Ismail Serkan Üncü
A Study on the Performance of Base-m Polynomial Selection
Algorithm Using GPU . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 509
Oğuzhan Durmuş, Umut Can Çabuk, and Feriştah Dalkılıç
Analysis of Permanent Magnet Synchronous Motor by Different
Control Methods with Ansys Maxwell and Simplorer Co-simulation . . . 518
Huseyin Kocabiyik, Yusuf Oner, Metin Ersoz, Selami Kesler,
and Mustafa Tumbek
A Comparison of Data Mining Tools and Classification Algorithms:
Content Producers on the Video Sharing Platform . . . . . . . . . . . . . . . . 526
Ercan Atagün and İrem Düzdar Argun
Normal Mixture Model-Based Clustering of Data Using
Genetic Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539
Maruf Gogebakan and Hamza Erol
Analyzing and Processing of Supplier Database Based

on the Cross-Industry Standard Process for Data Mining
(CRISP-DM) Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 544
Mohsen Jafari Nodeh, M. Hanefi Calp, and İsmail Şahin
On the Prediction of Possibly Forgotten Shopping Basket Items . . . . . . 559
Anderson Singh and Patrick Hosein


Contents

xxi

Consensus Approaches of High-Value Crypto Currencies
and Application in SHA-3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 572
Murat Emeç, Melike Karatay, Gökhan Dalkılıç, and Erdem Alkım
Estimation of Foam Concrete Mixture Rate with Randomed
Forest Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 584
Şemsettin Kilinçarslan, Emine Yasemin Erkan, and Murat Ince
Pre-processing Effects of the Tuberculosis Chest X-Ray Images
on Pre-trained CNNs: An Investigation . . . . . . . . . . . . . . . . . . . . . . . . . 589
Erdal Tasci
A Comparison of Neural Network Approaches for Network
Intrusion Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 597
Mehmet Uğur Öney and Serhat Peker
A Case Study: Comparison of Software Cost Estimation
of Smart Shopping List Application . . . . . . . . . . . . . . . . . . . . . . . . . . . . 609
Tuncay Yiğit and Huseyin Coskun
Forecasting Housing Prices by Using Artificial Neural Networks . . . . . . 621
Tolga Yesil, Fatma Akyuz, and Utku Kose
High Power Density and High Speed Permanent Magnet
Synchronous Generator Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 633

Benhar Aydogan, Yusuf Öner, Metin Ersoz, Selami Kesler,
and Mustafa Tumbek
Selection and Training of School Administrators
in Different Countries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 643
Fatma Köprülü, Behcet Öznacar, and Nevriye Yilmaz
Security on Cloud Computing Using Pseudo-random Number
Generator Along with Steganography . . . . . . . . . . . . . . . . . . . . . . . . . . 654
Moolchand Sharma, Suman Deswal, Jigyasa Sachdeva,
Varun Maheshwari, and Mayank Arora
Neural Network Prediction of the Effect of Nanoparticle
on Properties of Concrete . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 666
Şemsettin Kilinçarslan, Metin Davraz, Nanh Ridha Faisal, and Murat Ince
Tangibility of Fuzzy Approach Risk Assessment in Distributed
Software Development Projects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 676
Kökten Ulaş Birant, Ali Hakan Işık, and Mustafa Batar
A Simple Iterative Algorithm for Boolean Knapsack Problem . . . . . . . . 684
Fidan Nuriyeva, Urfat Nuriyev, and Onur Ugurlu


xxii

Contents

A Review of the Solutions for the Container Loading Problem,
and the Use of Heuristics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 690
Merve Aydemir and Tuncay Yigit
A Deep Learning Model Based on Convolutional Neural Networks
for Classification of Magnetic Resonance Prostate Images . . . . . . . . . . . 701
Fatih Uysal, Fırat Hardalaç, and Mustafa Koç
Effect of Representation of Information in the Input of Deep

Learning on Prediction Success . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 709
Hikmet Yücel
The Applicability of Instructional Leadership
in Educational Institution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 724
Behcet Oznacar and Gulyuz Debes
Production of Myoelectrically Controlled 3D Bionic Hand . . . . . . . . . . . 736
Ferdi Alakus, Pinar Koc, Orhan Duzenli, and Kenan Unlu
The Arab Students’ Needs and Attitudes of Learning English:
A Study of Computer Engineering Undergraduates in Cyprus . . . . . . . 744
Fatma Köprülü, Seda Cakmak, and Arhun Ersoy
Developing a Hybrid Network Architecture for Deep
Convolutional Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 750
H. Hüseyin Sayan, Ö. Faruk Tekgözoğlu, Yusuf Sönmez, and Bilal Turan
Blockchain-Based Secure Recognized Air Picture System Proposal
for NATO Air C2 Capabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 758
Enis Konacakli and Enis Karaarslan
A New Genetic Algorithm for the Maximum Clique Problem . . . . . . . . 766
Gozde Kizilates Evin
Evaluation of Primary School Teachers’ Resistance to Change . . . . . . . 775
Behcet Öznacar and Nevriye Yilmaz
Fuzzy Logic and Correlation-Based Hybrid Classification
on Hepatitis Disease Data Set . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 787
M. Sinan Basarslan, H. Bakir, and İ. Yücedağ
Entropy-Based Skin Lesion Segmentation Using Stochastic Fractal
Search Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 801
Okan Bingöl, Serdar Paçacı, and Uğur Güvenç
Providing the Moment of the Parabolic Reflector Antenna
in the Passive Millimeter Wave Imaging System
with the Equilibrium Weights . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 812
Mehmet Duman and Alp Oral Salman

Contents

xxiii

Convolutional Auto-Encoder Based Degradation Point Forecasting
for Bearing Data Set . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 817
Abdullah Taha Arslan and Ugur Yayan
Moth Swarm Algorithm Based Approach for the ACOPF
Considering Wind and Tidal Energy . . . . . . . . . . . . . . . . . . . . . . . . . . . 830
Serhat Duman, Lei Wu, and Jie Li
Churn Analysis with Machine Learning Classification Algorithms
in Python . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 844
Onur Özdemir, Mustafa Batar, and Ali Hakan Işık
Real Time Performance Comparison of Multi-class Deep Learning
Methods at the Edge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 853
Doruk Sonmez and Aydin Cetin
A Novel Blood Pressure Estimation Method with the Combination
of Long Short Term Memory Neural Network and Principal
Component Analysis Based on PPG Signals . . . . . . . . . . . . . . . . . . . . . . 868
Umit Senturk, Kemal Polat, and Ibrahim Yucedag
Design and Implementation of SDN-Based Secure Architecture
for IoT-Lab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 877
Enis Karaarslan, Eren Karabacak, and Cihat Cetinkaya
Feature Selection by Using DE Algorithm and k-NN Classifier . . . . . . . 886
Fatih Ahmet Şenel, Asım Sinan Yüksel, and Tuncay Yiğit
Intelligent Water Drops Algorithm for Urban Transit Network
Design and Frequency Setting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 894
Buket Capali and Halim Ceylan

Tweet and Account Based Spam Detection on Twitter . . . . . . . . . . . . . . 898
Kübra Nur Güngör, O. Ayhan Erdem, and İbrahim Alper Doğru
A Walking and Balance Analysis Based on Pedobarography . . . . . . . . . 906
Egehan Cetin, Suleyman Bilgin, and Okan Oral
Optimization of PMSM Design Parameters Using Update
Meta-heuristic Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 914
Cemal Yılmaz, Burak Yenipınar, Yusuf Sönmez, and Cemil Ocak
Improve or Approximation of Nuclear Reaction Cross Section
Data Using Artificial Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . 935
Veli Capali
Estimating Luminance Measurements in Road Lighting by Deep
Learning Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 940
Mehmet Kayakuş and Kerim Kürşat Çevik


xxiv

Contents

Effect of the Clonal Selection Algorithm on Classifiers . . . . . . . . . . . . . . 949
Tuba Karagül Yildiz, Hüseyin Demirci, and Nilüfer Yurtay
Analyzing the Energy Potential of Hydroelectric Power Plant
on Kura River . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 960
Hasan Hüseyin Çoban and Arif Cem Topuz
Tamper Detection and Recovery on RGB Images . . . . . . . . . . . . . . . . . 972
Hüseyin Bilal Macit and Arif Koyun
Assessment of Academic Performance at Akdeniz University . . . . . . . . . 982
Taha Yiğit Alkan, Fatih Özbek, Melih Günay, Bekir Taner San,
and Olgun Kitapci
Predicting Breast Cancer with Deep Neural Networks . . . . . . . . . . . . . . 996

Abdulkadir Karaci
Utilizing Machine Learning Algorithms of Electrocardiogram
Signals to Detect Sleep/Awake Stages of Patients with Obstructive
Sleep Apnea . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1004
Muhammed Kürşad Uçar, Ferda Bozkurt, Cahit Bilgin,
and Mehmet Recep Bozkurt
Development of a Flexible Software for Disassembly Line
Balancing with Heuristic Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . 1014
Ümran Kaya, Halil İbrahim Koruca, and Samia Chehbi-Gamoura
Parametrical Analysis of a New Design Outer-Rotor Line Start
Synchronous Motor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1027
Mustafa Tümbek, Selami Kesler, and Yusuf Öner
I -Statistically Localized Sequence in 2-Normed Spaces . . . . . . . . . . . . . 1039
Ulaş Yamancı and Mehmet Gürdal
On the Notion of Structure Species in the Bourbaki’s Sense . . . . . . . . . 1047
Aslanbek Naziev
On the Jost Solutions of the Zakharov-Shabat System
with a Polynomial Dependence in the Potential . . . . . . . . . . . . . . . . . . . 1070
Anar Adiloglu Nabiev
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1079


State and Trends of Machine Learning
Approaches in Business: An Empirical Review
Samia Chehbi-Gamoura1(&), Ridha Derrouiche1,
Halil-Ibrahim Koruca2, and Umran Kaya3
1

EM Strasbourg Business School, University of Strasbourg,
HuManiS (EA 7308), Strasbourg, France

{samia.gamoura,ridha.derrouiche}@em-strasbourg.eu
2
Department of Industrial Engineering, Süleyman Demirel University,
Isparta, Turkey

3
Department of Industrial Engineering, Antalya Bilim University,
Antalya, Turkey


Abstract. Strong competition is imposing to enterprises an incessant need for
extracting more business values from collected data. The business value of
contemporary volatile data derives from the meanings mainly for market tendencies, and overall customer behaviors. With such continuous urge to mine
valuable patterns from data, analytics have skipped to the top of research topics.
One main solution for the analysis in such context is ‘Machine Learning’ (ML).
However, Machine Learning approaches and heuristics are plenty, and most of
them require outward knowledge and deep thoughtful of the context to learn the
tools fittingly. Furthermore, application of prediction in business has certain
considerations that strongly affects the effectiveness of ML techniques such as
noisy, criticality, and inaccuracy of business data due to human involvement in
an extensive number of business tasks. The objective of this paper is to inform
about the trends and research trajectory of Machine Learning approaches in
business field. Understanding the vantages and advantages of these methods can
aid in selecting the suitable technique for a specific application in advance. The
paper presents a comprehensively review of the most relevant academic publications in the topic carrying out a review methodology based on imbricated
nomenclatures. The findings can orient and guide academics and industrials in
their applications within business applications.
Keywords: Machine learning
information systems

Á Analytics Á Artificial intelligence Á Business

1 Introduction
Since the early 2000’s, Business Information Systems (BIS) offer data collections and
analytical approaches to enterprises [1]. As such, they merge fundamental theories of
management, processes and Information Systems (IS) theory with engineering technologies to manage the flows organization of data.
© Springer Nature Switzerland AG 2020
D. J. Hemanth and U. Kose (Eds.): ICAIAME 2019, LNDECT 43, pp. 1–16, 2020.
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