Yönetim Bilişim Sistemleri
Bu bölümdeki koleksiyonlar
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Bildiri Koleksiyonu [6]
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Diğer Yayınlar Koleksiyonu [1]
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Kitap Bölümü Koleksiyonu [27]
Book Chapter Collection -
Kitap Koleksiyonu [0]
Book Collection -
Makale Koleksiyonu [25]
Article Collection
Güncel Gönderiler
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Secure future healthcare applications through federated learning approaches
(Springer Science and Business Media Deutschland GmbH, 2024)The healthcare field is so sensitive to data privacy and security due to including medical and personal information. Almost all healthcare applications are required to increase data security and privacy, which use traditional ... -
Non-cryptographic privacy preserving machine learning methods: a review
(Springer Science and Business Media Deutschland GmbH, 2024)In recent years, the use of Machine Learning (ML) techniques to exploit data and produce predictive models has become widespread in decision-making and problem-solving across various fields, including healthcare, energy, ... -
International market entry strategies
(IGI Global, 2023)Entry mode selection is one of the most strategic aspects of international business. The selection of international market entry strategy is an institutional decision that comprises the choice of target market, entry mode, ... -
Discovering the chemical factors behind regional royal jelly differences via machine learning
(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 ... -
Secure multi-party computation-based privacy-preserving data analysis in healthcare IoT systems
(Springer Science and Business Media Deutschland GmbH, 2023)Recently, many innovations have been experienced in healthcare by rapidly growing Internet-of-Things (IoT) technology that provides significant developments and facilities in the health sector and improves daily human life. ... -
How will metaverse and ai change traditional marketing techniques?
(IGI Global, 2023)The development of technology has transformed the process of product development and customer relationship building. It shows impressive results in deep learning and AI applications. Companies can see farther and make ... -
Early prediction of the severe course, survival, and ICU requirements in acute pancreatitis by artificial intelligence
(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 ... -
Detecting Turkish fake news via text mining to protect brand integrity
(Gazi University, 2022)Fake news has been in our lives as part of the media for years. With the recent spread of digital news platforms, it affects not only traditional media but also online media as well. Therefore, while companies seek to ... -
An intelligent system for document-based banking processes
(Kahramanmaras Sutcu Imam University, 2022)Business process automation has been helping companies by eliminating mundane and repetitive tasks. Automation tools have been used in many sectors, providing high full-time employee (FTE) savings and low error rates to ... -
Post-epidemic national and institutional energy strategies
(Springer Science and Business Media Deutschland GmbH, 2023)In this study, the latest developments in the energy world are examined, the strategic plans carried out by the major energy producing countries (especially Russia, the United States, China and Europe) and the strategies ... -
Defining the significant factors of currency exchange rate risk by considering text mining and fuzzy AHP
(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
(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 ... -
Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images
(Elsevier, 2021)Countries the world over have focused on protecting human health and combatting the COVID-19 outbreak. It has had a destructive effect on human health and daily life. Many people have been infected and have died. It is ... -
Intelligent early warning system for epidural acute hematomas
(International Balkan University, 2020)Epidural hematoma (EAH) is the accumulation of blood in the space between the outer membrane of the brain (dura mater) and the bone. Acute subdural and epidural hematoma appears on CT scan as a hyper-dense collection often ... -
Malicious URL detection using machine learning
(IGI Global, 2020)Recently, with the increase in Internet usage, cybersecurity has been a significant challenge for computer systems. Different malicious URLs emit different malicious software and try to capture user information. Signature-based ... -
Diagnosis of Covid-19 via patient breath data using artificial intelligence
(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 ... -
Performance comparison of K-means and DBSCAN methods for airline customer segmentation
(Uğur Şen, 2022)Organizations are now fully embracing ideas such as customer success, customer loyalty, customer experience management and customer satisfaction. The application of these concepts must be based on three pillars of technology, ... -
Predicting order cancellations for e-commerce domain: A proposed model based on retailing experience
(Mustafa Süleyman ÖZCAN, 2022)E-Commerce technologies enable contact between businesses and their suppliers for the aim of exchanging information such as purchase orders, invoices, and payments thank to the rapid development in information technologies. ... -
Doğal gaz tüketiminin modellenmesi: Türkiye için MARS yöntemiyle bir analiz
(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, ...