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Novruz Allahverdi

Novruz Allahverdi
KTO Karatay Univeristy · Computer Engineering

Prof. PhD

About

131
Publications
59,403
Reads
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1,811
Citations
Citations since 2017
17 Research Items
995 Citations
2017201820192020202120222023050100150200
2017201820192020202120222023050100150200
2017201820192020202120222023050100150200
2017201820192020202120222023050100150200
Additional affiliations
July 2015 - present
KTO Karatay Univeristy
Position
  • Professor
Description
  • My scopes: Application aspects of Artificial Intelligence (Fuzzy Expert System, ANN, Deep Learning) in Medicine area.
October 2008 - July 2015
Selcuk University
Position
  • Engineer
Description
  • My scopes: Application aspects of Artificial Intelligence (Fuzzy Expert System, ANN) in Medicine area.
July 1998 - present
Selçuk University
Position
  • Chief of the department of Electronics and Computer Education (Technical Education Faculty)
Description
  • -
Education
December 1976 - December 1979
September 1966 - June 1972
Azerbaijan Technical University
Field of study
  • Computer Engineering

Publications

Publications (131)
Article
Full-text available
This paper is the survey of studies that include design processes of some fuzzy expert systems for applications in some medical area. Recent studies of us that include fuzzy expert systems that make use of fuzzy logic method were described. Some of fuzzy expert systems mentioned in this paper have been developed as first time. Followings were inves...
Article
Full-text available
Fuzzy Control System for Predicting The Quality of Thermally Processed Raw Milk September 2021International Journal of Applied Mathematics Electronics and Computers 9(3):79-84 DOI: 10.18100/ijamec.980645 Büşra UZUNNovruz AllahverdiNovruz Allahverdi
Article
Full-text available
Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it becomes important to provide analysis abnormalities in simple ways. The aim of the study is comparing multiple machine learning a...
Book
Full-text available
Preface Why was this book written? After being published the first article on fuzzy logic (L.A. Zadeh, 1965), a great number of articles and books have been written, and many applications were made in various fields like industry, transport, management, etc. The use of fuzzy logic in these and other areas leads to important economies when using the...
Article
Full-text available
In this study, the effects of blood glucose levels on hemoglobin A1c (HbA1c) were investigated. For this reason, а classification model was developed by carrying out a logistic regression analysis based on machine learning and data mining methods. The purpose of using logistic regression analysis in this study was to establish a method of creating...
Conference Paper
Full-text available
In this study, Hilbert-Huang Transform (HHT) was applied to the lung sounds from RespiratoryDatabase@TR and the statistical features were calculated from the different modulations of the HHT. The statistical features were fed into the DBN to classify the lung sounds from Chronic Obstructive Pulmonary Disease (COPD) and healthy subjects.
Conference Paper
Full-text available
In this study, a fuzzy control system is presented to aid physicians in the diagnosis and to identify a risk value of type 2 diabetes.
Conference Paper
Full-text available
In this study, a fuzzy control system is presented to aid physicians in the diagnosis and to identify a risk value of type 2 diabetes.
Article
Full-text available
In this study, the research and analyzes were carried out on sex determination of bull sperm cells using an artificial neural network. Gender identification is important in animal breeding, focusing on the desired outcome and planning. For analyzes to be performed with artificial neural networks, sperm cells should be examined under a microscope an...
Conference Paper
Full-text available
This is a study, in which a trial was done to estimate the energy band gap (Eg) of single-walled carbon nanotubes (SWCNTs) by using a fuzzy logic algorithm that uses five inputs (strain value, fermi energy level, average energy, repulsive potential and electronic band structure energy).
Conference Paper
Full-text available
In the study, an analysis of the function that determines the sub-clusters of the fuzzy controller for model helicopter control is performed. For this purpose, a model helicopter and a test platform were established in which the results of the function analysis can be seen and the application results will be examined. Arduino control card is used f...
Conference Paper
Full-text available
ABSTRACT In this study, the application of position control on a fixed track by an autonomous robot fuzzy controller approach is realized. For this purpose, a system is designed in which the real time data exchange can be done both for hardware and software. The embedded system (Atmel 2560 Integrity) is used in the hardware section to achieve the t...
Conference Paper
Full-text available
In this study, the application of position control on a fixed track by an autonomous robot fuzzy controller approach is realized. For this purpose, a system is designed in which the real time data exchange can be done both for hardware and software. The embedded system (Atmel 2560 Integrity) is used in the hardware section to achieve the target att...
Article
Full-text available
In this study, a decision-support system is presented to aid cardiologists during the diagnosis and to create a base for a new diagnosis system which separates two classes (CAD and no-CAD patients) using an electrocardiogram (ECG). 24 hour filtered ECG signals from PhysioNet were used. 15 second short-term ECG segments were extracted from 24 hour...
Article
Full-text available
An electrocardiogram (ECG) is a biomedical signal type that determines the normality and abnormality of heart beats using the electrical activity of the heart and has a great importance for cardiac disorders. The computer-aided analysis of biomedical signals has become a fabulous utilization method over the last years. This study introduces a multi...
Article
Full-text available
An electroencephalogram (EEG) is an electrical activity which is recorded from the scalp over the sensorimotor cortex during vigilance or sleeping conditions of subjects. It can be used to detect potential problems associated with brain disorders. The aim of this study is assessing the clinical usefulness of EEG which is recorded from slow cortical...
Conference Paper
Full-text available
In this study, fuzzy expert system is designed for the provision of helicopter takeoffs and landings by fuzzy logic. For this purpose, a model helicopter and the test platform have been created that helicopter movements can be tested. The vertical motion control on the axis defined by the fuzzy logic control system is provided for the helicopter wi...
Article
Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted as the most important cause of CHF. This study focuses on the diagnosis of both the CHF and the CAD. The Hilbert–Huang transform (HHT), whi...
Conference Paper
Full-text available
Introduction: An electrocardiogram (ECG) is a non-linear and non-stationary diagnostic signal that has a great importance for cardiac disorders. The computer-assisted analysis of biomedical signals has become an essential tool in recent years. Classifier: This study introduces a deep learning (DL) application on automatic arrhythmia classification...
Conference Paper
Full-text available
Introduction: An electroencephalographic (EEG) is an electrical activity which is recorded from the scalp over the sensorimotor cortex during vigilance or sleeping conditions of subjects. It can be used to detect potential problems associated with brain disorders. The aim of this study is assessing the clinical usefulness of EEG which is recorded f...
Conference Paper
Full-text available
In this study, a decision-support system is presented to aid cardiologists during the diagnosis and to create a base for a new diagnosis system which separates two classes (CAD and no-CAD patients) using an electrocardiogram (ECG). 24 hour filtered ECG signals from PhysioNet were used. 15 second short-term ECG segments were extracted from 24 hour E...
Preprint
Full-text available
An electrocardiogram (ECG) is a biomedical signal type that determines the normality and abnormality of heart beats using the electrical activity of the heart and has great importance for cardiac disorders. The computer-aided analysis of biomedical signals has become a fabulous utilization method over the last years. This study introduces a multist...
Article
Full-text available
In the Short Communication published in “Expert Systems with Application” in volume 41 2014, (Comments on "Albayrak, M., & Allahverdi N. (2011). Development a new mutation operator to solve the Traveling Salesman Problem by aid of Genetic Algorithms. Expert Systems with Applications, 38(3), 1313-1320" [1]: A Proposal of Good Practice; E. Osaba, E....
Article
Full-text available
A new method for extracting rules from multi-class datasets was proposed in this study. The proposed method was applied to 4 different data set. Discrete and real attributes were decoded in different ways. Discrete attributes were coded as binary whereas real attributes were coded by using two real values These values indicate the midpoint and the...
Conference Paper
Full-text available
In this study, an application of fuzzy expert system was introduced. This system was designed to determine the level of iron deficiency anemia and thus, expert physicians were provided with a system to assist them to determine an exact diagnosis prior to their treatment. While realizing the system design, the laboratory records obtained from real p...
Conference Paper
Full-text available
In this study a method that uses artificial immune system (AIS) algorithm has been used to extract rules from medical dataset. The thyroid data set obtained from Irvine California University was used for application part. The accuracy ratio was found as 93.95. This result is one of the best results when it is compared with the previous studies.
Article
Full-text available
Goal of this study is a design of a fuzzy expert system, its application aspects in the medicine area and its introduction for calculation of numeric value of prostate cancer risk. For this aim it was used prostate specific antigen (PSA), age and prostate volume (PV) as system input parameters and prostate cancer risk (PCR) as output. This system g...
Article
Full-text available
Particle Swarm Optimization (PSO) algorithm inspired from behaviour of bird flocking and fish schooling. It is well-known algorithm which has been used in many areas successfully. However it sometimes suffers from premature convergence. In resent year's researches have been introduced a various approaches to avoid of this problem. This paper presen...
Article
Full-text available
Goal of this study is a design of a fuzzy expert system, its application aspects in the medicine area and its introduction for calculation of numeric value of prostate cancer risk. For this aim it was used prostate specific antigen (PSA), age and prostate volume (PV) as system input parameters and prostate cancer risk (PCR) as output. This system g...
Article
Full-text available
In this study a new method that uses artificial immune system (AIS) al-gorithm has been presented to extract rules from medical related dataset. Four real life problems data were investigated for determining feasibility of the proposed method. The data were obtained from machine learning repository of University of California at Irvine (UCI). The d...
Article
Full-text available
In this study a new method that uses artificial immune system (AIS) algorithm has been presented to extract rules from medical related dataset. Four real life problems data were investigated for determining feasibility of the proposed method. The data were obtained from machine learning repository of University of California at Irvine (UCI). The da...
Conference Paper
Full-text available
The aims of the study are to design a Fuzzy Expert System (FES) for diagnosis of periodontal dental disease by analyzing diagnosis, to define treatment methods and also to develop a computer program to help dentists for investigation, diagnosis and treatment of the disease. The designed FES is expected to help dentists by facilitating their job wit...
Conference Paper
Full-text available
The aim of this study is to design a Fuzzy Expert System to trace vital functions of the patient for directing the courses of the surgery during the Coronary Bypass Surgery (CBS). The designed fuzzy expert system presents and monitors four of the vital functions (Blood pressure, Hemoglobin, Pulse and Beta-blocker) of the patient and also interprets...
Article
Full-text available
Decision-making is a difficult and quite responsible task for doctors. Some of the computer decision models assisted the doctor with some computer decision models. In this study, neuro-fuzzy network has been designed to determine anemia level of a child. The performance analyses have been obtained by leaving-one-out cross-validation. After statisti...
Article
Full-text available
Finding frequent patterns in data mining plays a significant role for finding the relational patterns. In this study an extendable and improved itemset generation approach has been constructed and developed for mining the relationships of the symptoms and disorders in the medical databases. The algorithm of the developed software finds the frequent...
Article
Full-text available
The usage of data mining in the medical areas is increasing day to day. Data mining explores the hidden relationships and secret knowledge that can not be observed and evaluated easily by showing the secret relationships and correlations in the large databases. Finding frequent patterns in data mining plays a significant role for finding the relati...
Article
Full-text available
In this study, a new mutation operator has been developed to increase Genetic Algorithm (GA) performance to find the shortest distance in the known Traveling Salesman Problem (TSP). We called this method as Greedy Sub Tour Mutation (GSTM). There exist two different greedy search methods and a component that provides a distortion in this new operato...
Article
Full-text available
Prediction of real-estate prices by using its properties together is called as real-estate valuation. However, to predict approximate rate will be very complex problem. Since, every real-estate has many different features due to the location and the usage of it. Though, it is possible to find estimated values instead of exact values. In this paper,...
Article
Full-text available
The ever-increasing spread of the use of the Internet in intelligence technologies has begun to revolutionise the entire economy (from production to commerce, tourism to publishing) and all phases of education; briefly, all aspects of life. As a consequence of the impact of rapid growth of use of the Internet on education, the idea of "Net-Aided Ed...
Conference Paper
Full-text available
In this study, the effects of attribute reducing on real-estate valuation were investigated. Correlation was used for attribute reducing. To test the success of method, real-estate data which were collected from Konya region were used. The database consists of 190 data. 130 of them were used for training and 60 of them were used for testing. At the...
Article
Full-text available
In this paper, a reasoning-based intelligent system makes use of fuzzy control approach, which is designed for thermal comfort applications by using an embedded microcontroller system. In general, it is not possible to implement the mathematical thermal comfort models in actual environment. Thermal comfort usually depends on four environmental para...
Article
Support Vector Machine (SVM) is a novel machine learning method of soft sensor modeling in fermentation process, which has the ability to approximate nonlinear process with arbitrary accuracy. Learning results and generalization ability are key performance ...
Conference Paper
Full-text available
In this study, single and also multi-objective (MO) genetic algorithms (GAs) were used for optimisation of performance and emissions of a diesel engine. Population space and initial population of both GAs were obtained by Artificial Neural Network (ANN). Specific fuel consumption (Sfc), NOx, power (P), torque (Tq) and air-flow rate (Afr) were reduc...
Conference Paper
Full-text available
Comparision of numerical tehnique and AI techniques for determination of performance and emission characteristics of a diesel engine has been done in this study. Three different techniques namely multiple regression analysis, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) were used for modeling aims. Engine torque...
Conference Paper
Full-text available
Comparision of numerical tehnique and Al techniques for determination of performance and emission characteristics of a diesel engine has been done in this study. Three different techniques namely multiple regression analysis, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) were used for modeling aims. Engine torque...
Conference Paper
Full-text available
In this study, single and also multi-objective (MO) genetic algorithms (GAs) were used for optimisation of performance and emissions of a diesel engine. Population space and initial population of both GAs were obtained by Artificial Neural Network (ANN). Specific fuel consumption (Sfc), NOx, power (P), torque (Tq) and air-flow rate (Afr) were reduc...
Conference Paper
Full-text available
The aim of the study is to design a Fuzzy Expert System (FES) which manupulates with more parameters, than the traditional systems. Temperature, air humidity, light intensity, soil moisture, wind speed and the amount of carbon dioxide were taken as the input parameters of the Fuzzy Control System whereas heating, cooling, shading, irrigation, light...
Chapter
Although an Artificial Neural Network (ANN) usually reaches high classification accuracy, the obtained results sometimes may be incomprehensible. This fact is causing a serious problem in data mining applications. The rules that are derived from an ANN need to be formed to solve this problem and various methods have been improved to extract these r...
Article
Full-text available
This paper surveys the utilization of the fuzzy set and fuzzy control theory in the medicine area in general as well as on some concrete applications.
Article
Full-text available
Although Artificial Neural Network (ANN) usually reaches high classification accuracy, the obtained results in most cases may be incomprehensible. This fact is causing a serious problem in data mining applications. The rules that are derived from ANN are needed to be formed to solve this problem and various methods have been improved to extract the...
Conference Paper
Full-text available
Although Artificial Neural Network (ANN) usually reaches high classification accuracy, the obtained results sometimes may be incomprehensible. This fact is causing a serious problem in data mining applications. The rules that are derived from ANN are needed to be formed to solve this problem and various methods have been improved to extract these r...
Article
Full-text available
In this study, chronic intestine illness symptoms such as sedimentation and prostate specific antigen are used for the design of fuzzy expert system to determine the drug (salazopyrine) dose. Suitable drug dose for patients is obtained by using data of ten patients. The results of some patients are compared with the doses recommended to them by the...
Article
Full-text available
Although artificial neural network (ANN) usually reaches high classification accuracy, the obtained results sometimes may be incomprehensible. This fact is causing a serious problem in data mining applications. The rules that are derived from ANN are needed to be formed to solve this problem and various methods have been improved to extract these r...
Conference Paper
Full-text available
In this study, performance and emission characteristics of an internal combustion (IC) diesel engine and petrol-driven engine were modeled by Artificial Neural Network (ANN). Diesel engine input parameters are air flow rate (Aflr), boost pressure (Pb), fuel rate (Frt), cycle (Cy) and load (L) whereas input parameters of the petrol-driven engine are...
Conference Paper
Full-text available
The aim of this study is to construct an effective fuzzy logic based control system for multi core (core2duo) microprocessors and mainboards. Fuzzy Expert System (FES) software was developed in C#.net programming language for controlling the cooling mechanisms of the microprocessor and the mainboard cooling systems. Fuzzy Expert Systems were constr...
Conference Paper
Full-text available
In this study, performance and emission characteristics of an internal combustion (IC) diesel engine and petrol-driven engine were modeled by Artificial Neural Network (ANN). Diesel engine input parameters are air flow rate (Aflr), boost pressure (Pb), fuel rate (Frt), cycle (Cy) and load (L) whereas input parameters of the petrol-driven engine are...
Article
Full-text available
Abstract— Nowadays ,data mining ,is a ,very popular technique and has been successfully applied inmedical,area. Classification is aessential,approach ,in data ,mining. One of the ,classification methods,is a ArtificialNeural Networks. Artificial Neural Network (ANN) generally achieve high accuracy of classification. However, knowledge,acquired ,by...
Article
Full-text available
Although Artificial Neural Network (ANN) may achieve high accuracy of classification, the knowledge acquired by them is incomprehensible for humans. This fact is causing a serious problem in data mining applications. The rules that are derived from ANN are needed to be formed to solve this problem and various methods have been improved to extract t...
Article
Full-text available
Data can be classified according to their properties. Classification is implemented by developing a model with existing records by using sample data. One of the aims of classification is to increase the reliability of the results obtained from the data. Fuzzy and crisp values are used together in medical data. Regarding to this, a new method is pre...
Conference Paper
Full-text available
Although Artificial Neural Network (ANN) usually reaches high classification accuracy, the obtained results sometimes may be incomprehensible. This fact is causing a serious problem in data mining applications. The rules that are derived from ANN are needed to be formed to solve this problem and various methods have been improved to extract these r...