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Öğe Computer Vision in the Metaverse(Izmir Academy Association, 2021) Nalbant K.G.; Uyanik Ş.Metaverse is a rapidly developing new technology today. The purpose of this article is to examine this technology from a computer vision and general perspective. In this study, a comprehensive review of Metaverse concepts in computer vision has been made. Its history, process, techniques, architecture, advantages, and disadvantages are mentioned. The adaptation of Metaverse to life, the ideas of companies about this technological change, and how society will take place in Metaverse are also discussed. The future of Metaverse and what needs to be done to adapt to this technology are explained. As a result, since there are few studies in the literature, this article aims to be a review article that increases academic studies. © 2021, Izmir Academy Association. All rights reserved.Öğe Evaluating Inclusive Campus Environment Design Criteria Using CFPR and FANP Methodologies(World Scientific and Engineering Academy and Society, 2021) Nalbant K.G.; Özdemir Ş.; Özdemir Y.University campuses bring together individuals from different socio-cultural backgrounds. At the same time, university campuses contribute to the personal and intellectual development of individuals and serve as a socialization area. Campuses create vitality with their social, cultural, economic, and spatial effects. In this paper, we study for evaluating inclusive campus environment design criteria using the Fuzzy Analytical Network Process (FANP) and Consistent Fuzzy Preference Relations (CFPR) techniques, which are two Multi-Criteria Decision Making (MCDM) methods. Seven Inclusive Campus Environment Design Criteria are “Land Use Organization”, “Compactness”, “Connectivity”, “Configuration”, “Living campus”, “Greens” and “Context”. The major contribution of our study is to prioritize inclusive campus environment design criteria by using numerical methods from the decision maker's perspective. According to the authors’ knowledge, this will be the first interdisciplinary study to use MCDM methods for evaluating inclusive campus environment design criteria. Additionally, the results of both methodologies are compared. © 2021, World Scientific and Engineering Academy and Society. All rights reserved.Öğe Methodologies for Decision-Making in the Health and Medicine Sector(Springer Science and Business Media Deutschland GmbH, 2024) Nalbant K.G.; Aydin S.The fields of medicine and healthcare have benefited significantly from technological advances, investments, and software in our ever-evolving and transforming world, as they have from these same developments in every other industry. Because of the tremendous strides that have been made in the realm of specialist software in the health industry, the health system has become significantly more technologically advanced and functional. As a consequence of advances in technology, diagnosis and treatment are now more easily available, and favorable outcomes are being achieved with greater frequency. The growth of Artificial Intelligence (AI) technology has resulted in the establishment of ultra-modern medical facilities, such as hospitals and other health institutions. In these hospitals that are getting more and more advanced, robotic surgery techniques are much better than traditional ones. This means that patients can recover faster and have a lower chance of complications. In this chapter, we take a look at the many approaches to decision-making that are utilized in the field of health and medicine. Machine learning, artificial intelligence, the internet of things, deep learning, and natural language processing are just a few of the major methods that are utilized in this discipline. This chapter also delves into the topics of organizational decision-making in healthcare as well as medical decision-making. In addition, the marketing of healthcare services and some of the benefits of using marketing tactics for health services are both covered in this chapter. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.