Kurum Yazarı "Silahtaroğlu, Gökhan" İşletme ve Yönetim Bilimleri Fakültesi İçin Listeleme
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Defining the significant factors of currency exchange rate risk by considering text mining and fuzzy AHP
Silahtaroğlu, Gökhan; Dinçer, Hasan; Yüksel, Serhat (Springer Science and Business Media Deutschland GmbH, 2021)This study aims to determine the factors affecting the exchange rate risk of companies. In this context, firstly, articles in the ScienceDirect database that contain exchange rate risk in their titles, abstracts, and ... -
Determining the ways to increase economic growth of developing and developed economies: An application with data mining and fuzzy TOPSIS
Silahtaroğlu, Gökhan; Dinçer, Hasan; Yüksel, Serhat (Springer Science and Business Media Deutschland GmbH, 2021)This study aims to identify the influencing factors of economic growth for both developing and developed economies. Firstly, literature is reviewed, and 7 different variables are selected as leading indicators of the ... -
Diagnosis of Covid-19 via patient breath data using artificial intelligence
Doğuç, Özge; Silahtaroğlu, Gökhan; Canbolat, Zehra Nur; Hambarde, Kailash; Yiğitbaşı, Ahmet Alperen; Gökay, Hasan; Yılmaz, Mesut (Ital Publication, 2023)Using machine learning algorithms for the rapid diagnosis and detection of the COVID-19 pandemic and isolating the patients from crowded environments are very important to controlling the epidemic. This study aims to develop ... -
Differentiating gastrointestinal stromal tumors from leiomyomas using a neural network trained on endoscopic ultrasonography images
Seven, Gülseren; Silahtaroğlu, Gökhan; Seven, Özden Özlük; Şentürk, Hakan (Karger, 2022)Background: Endoscopic ultrasonography (EUS) is crucial to diagnose and evaluate gastrointestinal mesenchymal tumors (GIMTs). However, EUS-guided biopsy does not always differentiate gastrointestinal stromal tumors (GISTs) ... -
Discovering the chemical factors behind regional royal jelly differences via machine learning
Özkök, Aslı; Keskin, Merve; Tanuğur Samancı, Aslı Elif; Yorulmaz Önder, Elif; Silahtaroğlu, Gökhan (Bursa Uludag University, 2023)This study aims to discover the characteristic chemical factors for determining the region of royal jelly using machine learning. 84 samples from 13 different regions of Turkey were used for the study, and the chemical ... -
Doğal gaz tüketiminin modellenmesi: Türkiye için MARS yöntemiyle bir analiz
Aydın, Rıdvan; Yüksel, Serhat; Silahtaroğlu, Gökhan; Dinçer, Hasan (Gaziantep Üniversitesi Sosyal Bilimler Enstitüsü, 2022)Bu çalışmada Türkiye’deki doğal gaz talebinin tahmin edilmesine yönelik model ortaya konması amaçlanmaktadır. Doğal gaz tüketimi bağımlı değişken olarak ele alınmış, buna bağlı olarak makroekonomik veriler, iklim koşulları, ... -
Early prediction of the severe course, survival, and ICU requirements in acute pancreatitis by artificial intelligence
İnce, Ali Tüzün; Silahtaroğlu, Gökhan; Seven, Gülseren; Koçhan, Koray; Yıldız, Kemal; Şentürk, Hakan (Elsevier B.V., 2023)Objective: To evaluate the success of artificial intelligence for early prediction of severe course, survival, and intensive care unit(ICU) requirement in patients with acute pancreatitis(AP).Methods: Retrospectively, 1334 ... -
An early warning system using machine learning for the detection of intracranial hematomas in the emergency trauma setting
Aydoseli, Aydın; Ünal, Tuğrul Cem; Kardeş, Onur; Doğuç, Özge; Dolaş, İlyas; Adıyaman, Ali Ekrem; Ortahisar, Emircan; Silahtaroğlu, Gökhan; Aras, Yavuz; Sabancı, Pulat Akın; Sencer, Serra; Sencer, Altay (Turkish Neurosurgical Society, 2022)AIM: To present an early warning system (EWS) that employs a supervised machine learning algorithm for the rapid detection of extra-axial hematomas (EAHs) in an emergency trauma setting. MATERIAL and METHODS: A total of ... -
How is the stock exchange index affected by the disclosures of politicians?
Silahtaroğlu, Gökhan; Dinçer, Hasan; Yüksel, Serhat (Springer Science and Business Media Deutschland GmbH, 2021)The main purpose of this study is to understand the main influence of the politicians’ disclosure on the stock exchange index. In this context, a machine learning model is built in order to understand the hidden patterns ... -
Identifying indicators of global financial crisis with fuzzy logic and data science: A comparative analysis between developing and developed economies
Silahtaroğlu, Gökhan; Dinçer, Hasan; Yüksel, Serhat (Springer Science and Business Media Deutschland GmbH, 2021)The main purpose of this study is to define the leading indicators of the 2008 global financial crisis for both developing and developed economies. In this context, 16 different variables are defined with the help of ... -
The influence of the politicians on macroeconomic performance: An analysis of donald trump’s tweets
Silahtaroğlu, Gökhan; Dinçer, Hasan; Yüksel, Serhat (Springer Science and Business Media Deutschland GmbH, 2021)The aim of this study is to understand the role of the politicians on the macroeconomic situation of the countries. For this purpose, the tweets of Donald Trump are taken into consideration. Text mining approach is used ... -
Introduction to data science and machine learning algorithms
Silahtaroğlu, Gökhan; Dinçer, Hasan; Yüksel, Serhat (Springer Science and Business Media Deutschland GmbH, 2021)Data science has gained importance since available data and hardware facilities have been ubiquitous. Algorithms to process a huge amount of data and extract information were developed decades ago. However, due to the lack ... -
Profitability prediction of Turkish banking industry: A comparative analysis with data science and fuzzy ANP
Silahtaroğlu, Gökhan; Dinçer, Hasan; Yüksel, Serhat (Springer Science and Business Media Deutschland GmbH, 2021)In this study, it is aimed to estimate the factors affecting the profitability of the Turkish banking sector. For this purpose, 34 different variables were firstly determined by literature review. Then, with the help of ... -
Recent applications of data mining in medical diagnosis and prediction
Doğuç, Özge; Canbolat, Zehra Nur; Silahtaroğlu, Gökhan (Elsevier, 2022)Big data has been used in the health sector to improve the quality of life, predict epidemics, cure diseases, and avoid preventable deaths, beyond increasing profits or reducing the burden of excess labor. Data sources in ... -
Sürdürülebilir ekonomik kalkınma bağlamında havayolu sektörüne yönelik etkin yatırım stratejilerinin belirlenmesi
Mızrak, Filiz; Yüksel, Serhat; Silahtaroğlu, Gökhan; Dinçer, Hasan (Gaziantep Üniversitesi, 2022)Bu çalışmanın amacı sürdürülebilir ekonomik kalkınma bağlamında havayolu sektörüne yönelik müşteri memnuniyeti bazlı yatırım stratejilerinin belirlenmesidir. Bu amaca yönelik olarak, havacılık sektöründe müşterilerin ... -
Tree fruit load calculation with image processing techniques
Aral, Merve; Misk, Nada; Silahtaroğlu, Gökhan (2024)Turkey holds a significant position in global olive production, with olives being a crucial component of its agricultural industry. The fruit load on trees directly correlates with olive tree yield, which in turn determines ...