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Book Part Citation - Scopus: 2A Multi Source Graph-Based Hybrid Recommendation Algorithm(Springer Science and Business Media Deutschland GmbH, 2021) Kurt,Z.; Gerek,Ö.N.; Bilge,A.; Özkan,K.Images that widely exist on e-commerce sites, social networks, and many other applications are one of the most important information resources integrated into the recently deployed image-based recommender systems. In the latest studies, researchers have jointly considered ratings and images to generate recommendations, many of which are still restricted to limited information sources, sources namely, ratings with another input data, or which require the pre-existence of domain knowledge to generate recommendations. In this paper, a new graph-based hybrid framework is introduced to generate recommendations and overcome these challenges. Firstly, a simple overview of the framework is provided and, then, two different information sources (visual images and numerical ratings) are utilized to describe how the proposed framework can be developed in practice. Furthermore, the users’ visual preferences are determined based on which item they have already purchased. Then, each user is represented as a visual feature vector. Finally, the similarity factors between the users or items are evaluated from the user visual-feature or item visual-feature matrices, to be included the proposed algorithm for more efficiency. The proposed hybrid recommendation method depends on a link prediction approach and reveals the significant potential for performance improvement in top-N recommendation tasks. The experimental results demonstrate the superior performance of the proposed appraoch using three quality measurements - hit-ratio, recall, and precision - on the three subsets of the Amazon dataset, as well as its flexibility to incorporate different information sources. Finally, it is concluded that hybrid recommendation algorithms that use the integration of multiple types of input data perform better than previous recommendation algorithms that only utilize one type of input data. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.Conference Object Citation - Scopus: 4Quantum Machine Learning in Intrusion Detection Systems: a Systematic Mapping Study(Springer Science and Business Media Deutschland GmbH, 2024) Faker,O.; Cagiltay,N.E.The integration between quantum computing (QC) and machine learning algorithms (ML) aims to speed up computing processes and increase model accuracy rates, and this is what led developers and researchers to exploit this feature to study improving the performance of intrusion detection systems (IDSs). In this work, we present a systematic mapping review (SMR) of the most important works in the field of using quantum machine learning (QML) to increase the efficiency of anomaly detection techniques, which depend mainly on ML. After defining and applying the research methodology, the preliminary search results amounted to 240 studies from four databases. According to the exclusion and inclusion reports, we obtained 21 main studies. After reviewing and analyzing the results, the four research questions were answered. The review focused on the development of integration of intrusion detection systems with QML, the characteristics of such integration, increasing the efficiency of ML algorithms, and future research opportunities in this field. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.Conference Object Citation - Scopus: 1Extractive Text Summarization for Turkish: Implementation of Tf-Idf and Pagerank Algorithms(Springer Science and Business Media Deutschland GmbH, 2023) Akülker,E.; Turhan,Ç.Due to the massive amount of information available on the web, reaching the desired content has become more and more difficult. Automatic text summarization helps to solve the problem by minimizing the document size while keeping its core information. In this study, two extractive single document automatic text summarization systems for Turkish are presented which implement the statistical-based TF-IDF algorithm as well as the combination of TF-IDF with the graph-based PageRank algorithm. The study aims to reveal the usability and effectiveness of these algorithms for Turkish documents. Moreover, the results of the TF-IDF implementation and the hybrid approach are compared using the co-selection measures, precision, recall, and F-score. In the evaluation phase, the system-generated summaries are categorized and tested based on their word sizes and the predetermined thresholds and compared against the human-generated summaries. The results indicate that the hybrid system performs better than the TF-IDF system even in lower thresholds, and also both systems are inclined to improve average F-scores in higher threshold generated summarization. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.Conference Object Structural Analyses of Rc Buildings With Various Support Types(Springer Science and Business Media Deutschland GmbH, 2024) Tunc,G.; Tanfener,T.; Khayyat,Z.K.The seismic design of buildings is performed based on dynamic analyses by considering fixed-base supports. The effect of soil’s elastic behavior is usually ignored during the analysis and design phases of buildings. Due to differences in the seismic responses of rigidly and elastically supported buildings, it is essential to study the impact of the elastic behavior of soil on overall building design. In this study, the structural behavior of rigid basement walls with various support conditions will be investigated. For this purpose, a parametric study will be conducted on a total of 60 reinforced concrete buildings with two different layouts. For this purpose, five support types will be studied. These supports types in their correct order are as follows: (1) vertical area springs at the base coupled with horizontal area springs all around the basement walls, (2) fixity at the base coupled with horizontal joint springs only at the ground floor level, (3) vertical joint springs at the base, (4) only fixity at the base with no joint or area springs, and (5) vertical joint springs at the base coupled with horizontal joint springs only at the ground floor level. The results revealed that the buildings with support type 2 exhibited the most rigid behavior, while the buildings with support types 1 and 3 exhibited the most flexible behavior. The fundamental periods from support type 5 were always smaller than those from support type 1, pronouncing the significance of the presence of horizontal springs. Based on the results, it was also concluded that the choice of support type had almost no impact on the design of a mat foundation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.Conference Object Citation - Scopus: 21Examining the Use of Non-Fungible Tokens (nfts) as a Trading Mechanism for the Metaverse(Springer Science and Business Media Deutschland GmbH, 2022) Yilmaz,M.; Hacaloğlu,T.; Clarke,P.The notion of a metaverse seems hard to define but encourages the impression that it can be considered as a new virtual metaphysical landscape that somehow goes beyond our geographical locations and understanding (i.e., independent of time and space). Based on virtual reality, augmented reality, and blockchain, it is envisioned as an independent but extended world that is planned to be a digital virtuality entrenched not only in our old habits such as gaming and entertainment but also in virtual asset trade. In particular, trading is a pillar of the virtual economy, and auction houses will be crucial for Metaverse trading. This exploratory study examines the possibility of using an auction environment to improve the trading capabilities in a virtual universe. We investigate the cases of creating a virtual auction house with the potential of social trading of virtual assets with crypto coins and bartering. To this end, we built a virtual auction house and tested it initially using a set of scenarios. Our preliminary findings suggest that creating a virtual trading environment would be beneficial as an environment for buying and selling virtual assets and exploring their consequences. © 2022, Springer Nature Switzerland AG.Conference Object Citation - Scopus: 67A Step by Step Guide for Choosing Project Topics and Writing Research Papers in Ict Related Disciplines(Springer Science and Business Media Deutschland GmbH, 2021) Misra,S.ICT is fast-growing and changing field. A lot of researches are being done in various area of ICT, and results are presented in various platforms like conferences, journal and books. This is common observations in the publications from developing countries (especially in sub – Saharan africa) are not being published in reputed and established publishers even their technical/experiments are good. This is due to lack of several factors including professional presentation, the novelty of the topic, quality of literature review etc. This work guides final year bachelor’s students, PG students (masters and PhD) and young researchers, especially working in computing-related disciplines, on how to convert their project works into quality publications. The authors provide details on how these researchers can select suitable project topics, do a proper review, write up the key components of a paper and present their results in an appropriate form (that is, writing style starting from abstract to conclusion). This paper also presents and guides on how to write various types of review papers. © 2020, Springer Nature Switzerland AG.Book Part Transition Period to Renewable Energy Usage: Turkey Case(Springer Science and Business Media Deutschland GmbH, 2022) Turan,İ.; Uyar,T.S.Turkey is a country with all kinds of renewable resources due to its geography and the adventure of generating electricity from these resources has the potential to be a case study. The first period of power generation applications, which started with the coal-fired “Silahtarağa Thermal Power Plant” that was opened in 1914 to meet Istanbul’s electricity needs, continued with small sized water and coal fired power plants. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Conference Object Security Requirements in Iot Environments(Springer Science and Business Media Deutschland GmbH, 2022) Binglaw,F.; Koyuncu,M.; Pusatlı,T.The Internet of Things (IoT) is a relatively new concept as it connects things (or objects) that do not have high computational power. The IoT helps these things see, listen, and take action by interoperating with minimal human intervention to make people’s lives easier. However, these systems are vulnerable to attacks and security threats that could potentially undermine consumer confidence in them. For this reason, it is critical to understand the characteristics of IoT security and their requirements before starting to discuss how to protect them. In this scope, the present work reviews the importance of security in IoT applications, factors that restrict the use of traditional security methods to protect IoTs, and the basic requirements necessary to judge them as secure environments. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.Conference Object Mean Radiant Temperature Sensing: Comparison of Methods for a Non-Uniform Radiant Floor Heating(Springer Science and Business Media Deutschland GmbH, 2026) Özbey, M.F.; Licina, D.; Meggers, F.; Khovalyg, D.Non-uniform radiant floor heating is increasingly explored for improving localized and personalized thermal comfort. Accurate mean radiant temperature (Tr) measurement is crucial due to its separation from air temperature (Ta) unlike convective systems. This study evaluates the accuracy of Tr obtained using the globe thermometer versus a novel mini.RES cube sensor and examines the differences between Ta and Tr in non-uniform heating environments. Experiments were conducted in a 62 m3 climatic chamber in Fribourg, Switzerland, with four cases: one without heating, two with non-uniform heating to simulate radiant asymmetry, and one with uniform heating for comparison. Additionally, an uncertainty analysis was performed to evaluate measurement precision for the Tr measurements using the globe thermometer. The results indicate that the globe thermometer method can introduce errors of up to 4% in determining the Tr. Moreover, the uncertainty values for the Tr values were found between 1.60 ℃ and 2.31 ℃. In cases with non-uniform heating available, the Tr was found to vary by more than 2 ℃ than the Ta, highlighting the need to consider Tr separately when assessing thermal comfort. These findings emphasize the error of obtaining the Tr with globe thermometer and the difference between Tr and Ta in non-uniform heating scenarios. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.Conference Object Queue Management Systems in Airport Management: Enhancing Passenger Flow and Operational Efficiency(Springer Science and Business Media Deutschland GmbH, 2026) Erkan, T.E.; Ozdemir, M.F.Queue management systems (QMS) streamline airport operations by determining travel patterns that help manage the passenger flow, reducing wait times, and enhancing operational efficiency. They help optimize queue configurations by real-time data analytics and employing algorithms, working to guide passengers efficiently through the place for check-in, security clearance, and boarding. It leads to a much more pleasant time for the passengers while ensuring better resource utilization and operational planning. This Paper investigates a new queue management system that utilizes advanced technologies like artificial intelligence and real-time data analytics. Such systems enable monitoring of passenger flocking and behavior for adjustability concerning the length of queues and the optimization of service times. The result is an enhanced travel experience and improved airport operational efficiency. The paper takes Singapore Changi Airport as a case study to aid the understanding of how effective management of queues can lead to effective Rose operational efficiency. These findings show that airports can significantly reduce passenger wait times using advanced queue management technologies and enhance the travel experience while facilitating operations. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
