Yayın tarihi için Yönetim Bilişim Sistemleri listeleme
Toplam kayıt 59, listelenen: 41-59
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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. ... -
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, ... -
Differentiating gastrointestinal stromal tumors from leiomyomas using a neural network trained on endoscopic ultrasonography images
(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) ... -
An early warning system using machine learning for the detection of intracranial hematomas in the emergency trauma setting
(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 ... -
Data mining applications in banking sector while preserving customer privacy
(Ital Publication, 2022)In real-life data mining applications, organizations cooperate by using each other’s data on the same data mining task for more accurate results, although they may have different security and privacy concerns. Privacy-preserving ... -
Comparative study of the forecasting solar energy generation in Istanbul
(Springer Science and Business Media Deutschland GmbH, 2022)The importance of renewable energy sources makes it extremely important day by day due to the limited reserves of fossil fuels and the damage they cause to the environment. Fossil fuels play an important role in electrical ... -
Use of artificial intelligence in the prediction of malignant potential of gastric gastrointestinal stromal tumors
(Springer, 2022)Background and Aims This study aimed to investigate whether AI via a deep learning algorithm using endoscopic ultrasonography (EUS) images could predict the malignant potential of gastric gastrointestinal stromal tumors ... -
The problem of depending on fossil fuels in the energy policies of the european union: A strategic analysis in the eastern mediterranean region
(Springer Science and Business Media Deutschland GmbH, 2022)The Eastern Mediterranean geographical area consists of an area surrounded by Europe in the North, Asia in the East, the Middle East in the Southeast, and Africa in the South. The Republic of Turkey is the country with the ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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. ... -
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 ... -
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, ... -
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, ... -
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 ...