• Determining the most accurate machine learning algorithms for medical diagnosis using the monk’ problems database and statistical measurements 

  Avuçlu, Emre (Taylor and Francis Ltd., 2023)

  Computer-aided diagnosis process in the field of health, especially cancer diagnosis, is of vital importance. Computer-aided diagnosis helps specialist physicians to make the most accurate diagnosis. According to research ...

• COVID-19 detection using X-ray images and statistical measurements 

  Avuçlu, Emre (Elsevier B.V., 2022)

  The COVID-19 pandemic spread all over the world, starting in China in late 2019, and significantly affected life in all aspects. As seen in SARS, MERS, COVID-19 outbreaks, coronaviruses pose a great threat to world health. ...

• Galerkin methods for the numerical solution of the Schrödinger equation by using trigonometric B-splines 

  Mersin, Mehmet Ali; Irk, D.; Görgülü, M. Zorşahin (University of Miskolc, 2022)

  SciVal Topics Funding details Abstract This paper includes four finite element methods which are based on quadratic, cubic, quartic and quintic trigonometric B-spline functions for space discretization and Crank-Nicolson ...

• A novel method using Covid-19 dataset and machine learning algorithms FOR THE MOST ACCURATE DIAGNOSIS that can be obtained in medical diagnosis 

  Avuçlu, Emre (PMC, 2022)

  Pandemics and many other diseases threaten human life, health and quality of life by affecting many aspects. For this reason, the medical diagnosis to be applied for any disease is important in terms of the most accurate ...

• A hybrid machine learning model for classifying time series 

  Elen, Abdullah; Avuçlu, Emre (Springer Science and Business Media Deutschland GmbH, 2022)

  A time series is a sequence of numerical data points in equal time intervals and/or successive order. Time series are used in many fields to understand the behavior of systems, to make predictions, to create solutions to ...

• A new dynamic feature extraction method for biometric images 

  Avuçlu, Emre; Elen, Abdullah; Özçifçi, Ayhan (Gazi Üniversitesi, 2021)

  The image of biometric properties in humans is used in many fields today. Regardless of these features, it is necessary to first translate it into data that the computer understands. In this study, automatic and dynamic ...

• An interactive robot design to find missing people and inform their location by real-time face recognition system on moving images 

  Avuçlu, Emre; Başçiftçi, Fatih (Wiley, 2022)

  In every country over the world, missing children and adults is a social problem. This problem affects both the relatives of the missing people and the community materially and morally. This article presents a new and ...

• A new data augmentation method to use in machine learning algorithms using statistical measurements 

  Avuçlu, Emre (Elsevier B.V., 2021)

  Cancer disease is among the leading causes of death in the world today. It has been scientifically proven that if the disease is detected in the first stages, the success rate in treatment can be close to 100%. Accordingly, ...

• An application to control media player with voice commands 

  Avuçlu, Emre; Özcifçi, Ayhan; Elen, Abdullah (Gazi Üniversitesi, 2020)

  Using technology today is of great importance in terms of making people's lives easier. It has become very easy to run some applications with technology. In this study, an application that provides media player control ...

• Evaluation of train and test performance of machine learning algorithms and Parkinson diagnosis with statistical measurements 

  Avuçlu, Emre; Elen, Abdullah (Springer Science and Business Media Deutschland GmbH, 2020)

  Parkinson’s disease is a neurological disorder that causes partial or complete loss of motor reflexes and speech and affects thinking, behavior, and other vital functions affecting the nervous system. Parkinson’s disease ...

• Determination age and gender with edge detection algorithms using dental X-ray images 

  Başçiftçi, Fatih; Avuçlu, Emre (TUBITAK, 2020)

  Age determination in forensic medicine is a very important issue in terms of criminal and law. In case of any disaster or unlawfulness, identification may be required. In such cases, the competent authorities ask the ...

• A comparison of classification methods for diagnosis of Parkinson's 

  Elen, Abdullah; Avuçlu, Emre (İsmail Sarıtaş, 2020)

  Parkinson's is a neurological health problem and one of the most common diseases affecting more than four million people worldwide. Recent studies have shown that deterioration of vocal cords, especially from Parkinson's, ...

• Standardized Variable Distances: A distance-based machine learning method 

  Elen, Abdullah; Avuçlu, Emre (Elsevier, 2021)

  Today, machine learning algorithms are an important research area capable of analyzing and modeling data in any field. Information obtained through machine learning methods helps researchers and planners to understand and ...

• Making inferences about settlements from satellite images using glowworm swarm optimization 

  Avuçlu, Emre; Elen, Abdullah; Kahramanlı Örnek, Humar (Korean Institute of Electrical Engineers, 2020)

  Optimization is the process of choosing the best one among existing possibilities under particular circumstances in a problem. There are various algorithms for optimization problems nowadays. Metaheuristic algorithms are ...

• Automatic detection of petiole border in plant leaves 

  Elen, Abdullah; Avuçlu, Emre (SAGE Publications Ltd, 2021)

  Plants are our source of oxygen and nutrients on earth. Therefore, conservation of biodiversity is vital for the survival of other species. With the developing technology, plant species can be examined more closely. Image ...

• The determination of age and gender by implementing new image processing methods and measurements to dental X-ray images 

  Avuçlu, Emre; Başçiftçi, Fatih (Elsevier, 2020)

  All of the features used to identify and distinguish people from others constitute that person's identity. For any reason, a person's identity may need to be identified and distinguished from other people. Authorities ...

• 2014 Yılında eğitim teknolojileri alanındaki yayımlanan makalelerin incelenmesi 

  Çakmak Kılıç, Ebru; Özüdoğru, Gül; Bozkurt, Şeyma Büşra; Ülker, Ülkü; Ünsal Özgül, Nimet; Boz, Kübranur; Bozkurt, Ömer Faruk; Karaca, Celal (Eğitim Teknolojisi Kuram ve Uygulama, 2016)

  Bu çalışmanın amacı, 2014 yılına ait Social Sciences Citation Index (SSCI) kapsamındaki eğitim teknolojileri alanında önde gelen uluslararası sekiz dergideki makalelerin içerik analizi yöntemiyle incelenmesidir ...

• Determination age and gender with developed a novel algorithm in image processing techniques by implementing to dental X-ray images 

  Avuçlu, Emre; Başçiftçi, Fatih (Romanıan Legal Med Soc, 2018)

  Age determination process is very important in legal medicine and forensic sciences. After a massive disaster or a legal situation, identification may be required. Age determination process is requested from the forensic ...

• New approaches to determine age and gender in image processing techniques using multilayer perceptron neural network 

  Avuçlu, Emre; Basçiftçi, Fatih (Elsevier Science Bv, 2018)

  As a result of some events (disasters, inheritance, disappearances etc.), age and gender determination can be vital for people. Forensic medical institutions make the determination of age by examining the structures such ...

• A new approach to minimize the loss of life after natural hazards by using Android operating system 

  Avuçlu, Emre; Basçiftçi, Fatih (Springer, 2018)

  Nowadays, the usage rates of smartphones are increasing rapidly. With the versatility of its features, smartphones have succeeded in attracting users. Performing this study has also affected the usage rate of smartphones ...

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