Fatih Abut

Fatih Abut
Cukurova University | CU · Department of Computer Engineering

Ph.D. in Computer Engineering

About

56
Publications
8,249
Reads
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168
Citations
Citations since 2016
34 Research Items
155 Citations
2016201720182019202020212022051015202530
2016201720182019202020212022051015202530
2016201720182019202020212022051015202530
2016201720182019202020212022051015202530
Additional affiliations
July 2021 - present
Cukurova University
Position
  • Professor (Associate)
March 2020 - July 2021
Cukurova University
Position
  • Professor (Assistant)
October 2017 - March 2020
Adana Science and Technology University
Position
  • Professor (Assistant)
Education
February 2014 - April 2017
Cukurova University
Field of study
  • Computer Engineering
March 2013 - February 2014
RWTH Aachen University
Field of study
  • Computer Science
September 2008 - September 2010
Bonn-Rhein-Sieg University of Applied Sciences
Field of study
  • Computer Science

Publications

Publications (56)
Article
Full-text available
The round-trip time (RTT), defined as the time elapsed for transmission of a data packet to travel from one endpoint to the other and back again, is an important parameter for Internet quality. This paper proposes an extended version of the well-known SYN/ACK (SA) methodology for passively measuring the RTTs over Transmission Control Protocol (TCP)...
Article
Full-text available
The end-to-end capacity, defined as the maximal transmission rate of the weakest link on the entire path between two end hosts, plays an important role in efficient network design and management. Although various capacity estimation tools have been proposed in the literature, there is still uncertainty in their accuracy and reliability when they ar...
Article
Full-text available
Internet of Things (IoT) is a technological invention that has the potential to impact on how we live and how we work by connecting any device to the Internet. Consequently, a vast amount of novel applications will enhance our lives. Internet Engineering Task Force (IETF) standardized the Constrained Application Protocol (CoAP) to accommodate the a...
Article
Full-text available
The knowledge of bandwidth in communication networks can be useful in various applications. Some popular examples are validation of service level agreements, traffic engineering and capacity planning support, detection of congested or underutilized links, optimization of network route selection, dynamic server selection for downloads and visualizin...
Article
Maximal oxygen uptake (VO2max) is an essential part of health and physical fitness, and refers to the highest rate of oxygen consumption an individual can attain during exhaustive exercise. In this study, for the first time in the literature, we combine the triple of maximal, submaximal and questionnaire variables to propose new VO2max prediction m...
Article
Full-text available
COVID-19 is an infection that has affected the world since December 31, 2019, and was declared a pandemic by WHO in March 2020. In this study, Multi-Layer Perceptron (MLP), Tree Boost (TB), Radial Basis Function Network (RBF), Support Vector Machine (SVM), and K-Means Clustering (kMC) individually combined with minimum redundancy maximum relevance...
Article
Full-text available
Since the beginning of the pandemic, the home insurance sector has suffered from various difficulties. One of the most important difficulties was assessing the damages in the insurance owners’ homes. Due to the current pandemic, letting the experts assess the damages in place is a life-threatening risk. Therefore, the idea of automatically assessin...
Article
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Personalization of the e-commerce experience is vital since there are enormous amounts of products to offer to the customers. Each day new products are introduced into the ecosystem, and customer purchase behavior is dynamic as well. This mapping between products and customers needs to be optimized. E-commerce platforms try to funnel those products...
Article
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COVID-19 is an infectious disease first discovered in Wuhan City, China, in December 2019. Ever since, COVID-19 has infected more than 70 million people and caused more than 1 million deaths worldwide. There is a need for models that predict the COVID-19 outbreak as accurately as possible to combat such an infectious and deadly disease. By using th...
Article
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Fraud detection identifies suspicious activities, false pretenses, wrongful or criminal deception intended to result in financial gain. Fraud is rare, well thought, effortful, and deceiving throughout claims. Detecting fraudulent claims is essential for the insurance industry. Therefore, most insurance companies must devote time and budget for frau...
Conference Paper
Full-text available
Purchasing the most suitable insurance policy is a very hard task for customers who do not have expertise in the insurance business. The main reason behind this is that the language of these documents is not very understandable. Each company has a different layout that explains terms and conditions with heavy terminology. This study aims to assist...
Conference Paper
Full-text available
With the developing technology and the widespread use of the Internet, online shopping culture and the concept of online payment have emerged. This study aims to develop a secure finance application and an integrated system for banks to perform the transactions specified within the scope of Secure Mobile Payment and Electronic Document Management S...
Article
Full-text available
With the increment of Internet usage, there has been a significant increase in the access and interaction of users in social media, blogs, forums, and criticism sites recently. With social media, access to a large amount of data on various products, services, social and political events is provided. Important feedback about products and services ca...
Conference Paper
Full-text available
System Marginal Price (SMP) is the purchase price corresponding to the net order volume determined by considering all the o!ers given within the scope of the balancing power market. Accurately predicting the SMP is extremely important for electricity producers and electricity suppliers. If manufacturers and suppliers can predict SMP correctly, they...
Conference Paper
Full-text available
The variety of products in e-commerce makes it difficult for users to make quick and easy decisions and find the products they are interested in. To support users in such search and decision-making processes, the classification of products is usually made using text-based labels so far. In text-based product classification, however, it is difficult...
Article
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Human assisted search and rescue (SAR) robots are increasingly being used in zones of natural disasters, industrial accidents, and civil wars. Due to complex terrains, obstacles, and uncertainties in time availability, there is a need for these robots to have a certain level of autonomy to act independently for approaching certain SAR tasks. One of...
Conference Paper
Full-text available
Virtual assistant technology has made a rapid entry into our lives due to the evolving age. Nowadays, rapidly developing virtual assistant technology is emerging in different sectors, such as the Internet of Things (IoT), virtual customer service, and map directions. A virtual assistant is a program that provides various services to users with voic...
Article
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Voice over IP (VoIP) is gaining more and more importance and displaces the traditional telephony. For example, more than 300 million monthly active users worldwide use the popular VoIP application "Skype". However, a big problem in the VoIP environment is the voice quality. The purpose of this study is to investigate the effects of background TCP t...
Article
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For many different applications, current information about the bandwidth-related metrics of the utilized connection is very useful as they directly impact the performance of throughput sensitive applications such as streaming servers, IPTV and VoIP applications. In literature, several tools have been proposed to estimate major bandwidth-related met...
Article
Full-text available
The Internet of Things (IoT) is a vision of the future Internet. Due to limited resources of IoT devices, a new generation of protocols and algorithms are being developed and standardized. The Constrained Application Protocol (CoAP) has been designed by the Internet Engineering Task Force (IETF) for application layer communication. CoAP is based on...
Article
Full-text available
This study has been carried out to give a detailed overview over several studies performed in literature during the past several years for predicting numerous sport physiology related metrics including upper body power (UBP), lower body power (LBP), endurance time and muscle strength. Despite the fact that for each of those metrics direct measureme...
Conference Paper
Full-text available
In this paper, we propose new classification models based on Deep Learning (DL) to predict a student’s pass/fail status who took the “Probability and Statistics” course at the Computer Engineering Department of Cukurova University. The dataset used to create the models consisted of data related to 132 students, and included various variables such a...
Conference Paper
Full-text available
This paper proposes for the first time in literature to use machine learning methods and survey-based data for predicting the racing times of cross-country skiers. Particularly, three popular types of artificial neural networks (ANN) including Multilayer Feed-Forward Artificial Neural Network (MFANN), General Regression Neural Network (GRNN) and Ra...
Conference Paper
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This study was carried out with the intention to create new models to predict the maximum endurance time for the left-side bridge exercise using machine learning methods and hybrid data. Particularly, four different methods including Multilayer Feed-Forward Artificial Neural Network (MFANN), Generalized Regression Neural Network (GRNN), Radial Basi...
Article
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Hamstring and quadriceps muscles are essential in the performance of athletes for various sport branches. The quadriceps muscles play an important role in jumping and kicking whilst the hamstring muscles are found to control running activities and stabilize the knee during turns or tackles. Although quadriceps and hamstring muscle strength in athle...
Article
Maximum oxygen uptake (VO2max) is widely accepted as being a reliable and valid measure of cardiorespiratory fitness (CRF). In this paper, Support Vector Machine (SVM) with individual combinations of Relief-F and minimum redundancy maximum relevance (mRMR) feature selection algorithms has been used to build new VO2max prediction models from maximal...
Article
This study aims to develop models for precisely forecasting the voice traffic of a commercially deployed Third Generation Universal Mobile Telecommunication System (3G/UMTS) network in Turkey using various machine learning and statistical methods. Particularly, four machine learning methods including Support Vector Machine (SVM), Multilayer Percept...
Conference Paper
Full-text available
Aerobic endurance describes the ability of the body’s cardiorespiratory system to perform physical activity for an extended period of time and resist fatigue. Standard tests to determine aerobic endurance involves measuring the maximum volume of oxygen (VO2max) an athlete uses up while exercising at maximal capacity. Given that the tests of direct...
Conference Paper
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Cylindrical dielectric resonators acting on whispering gallery modes (WGM’s) are promising structures for measurement applications such as complex permittivity determination of dielectric materials. The design for such resonators, however, requires the accurate computation of the resonant frequency and the Q-factor via complex techniques which invo...
Article
Full-text available
Maximal oxygen uptake (VO2max) indicates how many milliliters of oxygen the body can consume in a state of intense exercise per minute. VO2max plays an important role for both sport and medical sciences in different purposes, such as indicating endurance capacity of athletes or serving as a metric in estimating the disease risk of a person. In gene...
Article
Maximal oxygen uptake (VO2max) is one of the most important determinants that directly affects the performance of cross-country skiers during races. In this study, various models have been developed to predict the VO2max of cross-country skiers by combining different machine learning methods with the Relief-F feature selection algorithm. Machine le...
Article
Full-text available
Upper body power (UBP) is a major parameter in cross-country skiing that strongly influences the performance of skiers during races. Although the direct measurement of UBP in laboratory environment provides the most accurate assessment, practical difficulties such as the need of sophisticated and expensive testing equipment and trained stuff have g...
Conference Paper
The purpose of this study is to build feature selection based models for predicting the 10-second upper body power (UBP10) and 60-second upper body power (UBP60) of cross-country skiers by utilizing Cascade Correlation Network (CCN), Multilayer Perceptron (MLP) and Single Decision Tree (SDT). The performance of the prediction models has been assess...
Conference Paper
In this study, Support Vector Machines (SVM), Decision Tree Forest (DTF) and Single Decision Tree (SDT) combined with the Relief-F feature selection algorithm have been used to develop VO2max prediction models using both submaximal and questionnaire data. The dataset includes the physiological variables gender, age, weight and height; the submaxima...
Conference Paper
Full-text available
The purpose of this study is to develop new submaximal models for predicting the maximal oxygen uptake (VO2max) of healthy subjects ranging in age from 18 to 26 years. Machine learning methods used to develop the prediction models include Cascade Correlation Network (CCN), Gene Expression Programming (GEP) and Single Decision Tree (SDT). In order t...
Conference Paper
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The purpose of this paper is to analyze the effects of body mass index (BMI) and location variables on the prediction of maximal oxygen uptake (VO2max) using Support Vector Machines (SVM). The dataset includes 410 (250 men and 150 women) participants from three different locations, aged from 18 to 40 years. The performance evaluation of the models...
Conference Paper
Full-text available
2-dimensional Simultaneous Optical Multiprocessor Exchange Bus (2D SOME-Bus) is an optical interconnection network characterized by low latency and high bandwidth, with the potential to become the most relevant ingredient of a high-end computer architecture capable of petaflops performance. In this paper, we develop models to predict the average pr...
Conference Paper
Full-text available
In this paper, four different classifiers including Support Vector Machines (SVM), Logistic Regression, Radial Basis Function (RBF) Network and K-Means Clustering have been used to predict the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University provided that he/she possesses the necessary test sco...
Article
Full-text available
Upper body power (UBP) is an important determinant of cross-country ski race performance. Although numerous studies exist to measure UBP of cross-country skiers, to date, no study has ever attempted to predict UBP of cross-country skiers. The purpose of this paper was to develop prediction models for estimating 10-s UBP (UBP10) and 60-s UBP (UBP60)...
Article
Full-text available
2-dimensional Simultaneous Optical Multiprocessor Exchange Bus (2D SOME-Bus) is a reliable, robust implementation of petaflops-performance computer architecture. In this paper, we develop models to predict the performance measures (i.e. average channel utilization, average channel waiting time, average network latency, average processor utilization...
Conference Paper
Full-text available
Due to the shared nature of the wireless channel, a fundamental class of security attacks, the so-called jamming attack, threatens the availability of wireless networks. A jammer can launch an attack by simply disregarding medium access policies and thereby interfering with legitimate transmissions on the wireless channel. This causes packets to be...
Article
In this paper, as a result of our extensive analysis of several existing measurement techniques and tools, we describe the main characteristics, accuracy and performance evaluation metrics as well as robustness assessment criteria of bandwidth measurement tools and propose a generic classification and evaluation scheme consisting of three major dim...
Conference Paper
Full-text available
Secure information exchange is a key success factor for military operations. International coalition missions are especially challenging because of heterogeneous communication and C2IS equipment. The international project CoNSIS is targeted to fill in technical gaps regarding interoperability which occur in a reference scenario, consisting of a mul...

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