Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Conference Object A General Predictive Model to Evaluate Daylight Levels of Residential Buildings in the Mediterranean (Next Med) Region(Education and Research in Computer Aided Architectural Design in Europe, 2025) Ekici, B.Conceptual design is one of the most critical phases, as design decisions affect the buildings’ performance throughout their life cycle. Researchers consider various computational methods to achieve effective design proposals. Nevertheless, optimization algorithms are necessary to cope with the complexity and increase the efficiency of design alternatives in various aspects. In sustainable building design, these decisions require computationally expensive processes due to the simulation tasks. Besides, making sustainable design decisions is even more challenging in a Mediterranean climate due to changing conditions throughout the year. Therefore, recent studies frequently consider combining predictive models with optimization algorithms to decrease the burden of expensive simulation time. Relevant works present promising outcomes, yet they are limited to predicting the building performance of specific cases; thus, the proposed predictive models are limited to different design problems. This paper investigates the development of a general machine learning (ML) model to overcome this issue. With this motivation, a parametric test box consisting of twenty parameters related to weather data of twelve Mediterranean (Next Med) countries, space dimensions, vertical/horizontal louvers, and material type is developed using Grasshopper 3d. Moreover, a parametric urban model, which considers eight parameters related to the density of the surrounding buildings, is also created to generate numerous environments. The LadyBug tools simulate the daylight autonomy to generate 12,000 samples. Five different ML models involving artificial neural networks (ANN) are built in Python. Statistical results showed that train and test scores achieved promising outcomes in all ML models. However, when predicting user-defined scenarios not involved in the generated dataset, only ANNs perform generalizable, accurate predictions. The paper discusses the ability of ANN models to accurately predict different design scenarios and locations, and the trustworthiness of the training and test scores based only on collected data. © 2025, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.Conference Object Metacognitive, Cognitive, and Creative Dynamics in the Artificial Intelligence-Aided Design Process(Education and Research in Computer Aided Architectural Design in Europe, 2025) Yazici, G.; Doǧan, F.This study examines the effects of artificial intelligence-aided design processes (AIADP) on cognitive load, creativity, and metacognitive awareness. Within the scope of the study, a one-day face-to-face workshop was organised with twenty-eight architects, including architecture students studying at undergraduate and graduate levels, and the data based on the participants' experiences were analysed using qualitative research methods. The results of the sentiment-based content analysis show that integrating AI tools into the design process reduces cognitive load, supports creative thinking processes, facilitates rapid prototyping and feedback mechanisms, and increases metacognitive awareness. The findings reveal that AI-aided design tools can potentially improve designers' cognitive and creative capacities. The study addresses the effects of AIADP in educational and professional contexts from a local perspective, providing a new perspective on the literature on the integration of AI into design processes. © 2025, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.Conference Object Differential and Linear Analyses of Dizy Through MILP Modeling(Springer Science and Business Media Deutschland GmbH, 2026) İlter, M.B.; Koçak, O.; Kara, O.; Sulak, F.In this work, we present the first independent security analysis of DIZY, a recently proposed ultra-lightweight stream cipher with two variants: DIZY-80 and DIZY-128. Our analysis focuses on DIZY’s resistance to linear and differential cryptanalysis. We employ a formal technique known as Mixed Integer Linear Programming (MILP), which enables us to model the internal structure of DIZY and search for characteristics that describe how XOR differences or linear masks propagate through the cipher. Specifically, we construct such characteristics to evaluate how many S-boxes become “active” during keystream generation, as this number directly affects the cipher’s resistance to these attacks. Contrary to the designers’ claim that any linear or differential characteristic over 8 rounds must involve at least 20 active S-boxes in DIZY-80 and 22 in DIZY-128, we identify characteristics with only 18 differentially or linearly active S-boxes and 20 linearly active S-boxes, respectively. We mount two distinguishing attacks on each cipher. Our 3-round linear distinguishing attack requires 223 bits of keystream, while the 4-round version requires 235 bits for DIZY-128 and DIZY-80, respectively. Our 2-round differential resynchronization attacks succeed using only the first four bytes of keystream data from approximately 230 and 226 different initializations with chosen initialization vectors (IVs) for DIZY-128 and DIZY-80, respectively. While these attacks do not compromise the full 15-round version of the cipher, they provide valuable insights into the design of DIZY and contribute to a deeper understanding of the security requirements of its diffusion layer. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.Erratum Erratum to “Plasma Proteomic Markers of Interleukin-1β Pathway Associated With Incident Age-Related Macular Degeneration in Persons with AIDS” [Ophthalmol Sci. 2025;5:100794] (Ophthalmology Science (2025) 5(5), (S2666914525000922), (10.1016/J.xops.2025.100794))(Elsevier Inc., 2026) Hunt, P.W.; Olshen, A.B.; Murad, N.; Ambayec, G.C.; Sezgin, E.; Schneider, M.F.; Jabs, D.A.The publisher of this journal would like to note an error in the article “Plasma Proteomic Markers of Interleukin-1β Pathway Associated with Incident Age-Related Macular Degeneration in Persons with AIDS.” An earlier version of Figure 1 was inadvertently published instead of the final revised figure. The correct figure appears below.[Figure presented] © 2025 American Academy of OphthalmologyBook Part Greenmetric Journey of Izmir Institute of Technology: Agile Strategies Towards a Green Campus(Springer Science and Business Media Deutschland GmbH, 2026) Keskin, E.; Ökten, H.E.; Akpinar, İ.; Baran, Y.Recently, there has been growing attention towards sustainable approaches on university campuses through disseminating international evaluation systems, the UI GreenMetric World University Rankings (GM) attracting specific attention in particular. Türkiye is one of the countries where the number of participating universities in GM rises annually at a significant pace. Most of the large-scale university campuses in Türkiye were already built by the 1990s, which led these campuses to adapt themselves to higher standards for sustainability. In this context, Izmir Institute of Technology (IZTECH), a 33-year-old university, has applied for the GM with its Gülbahçe Campus since 2020. This paper aims to reveal IZTECH’s institutional agile sustainability strategy, energetic and collective processes, and good practices in the last five years while examining the outcomes through the GM’s evaluation of six assessment criteria. In this regard, the sustainability practices of IZTECH have been monitored since 2019 and compared to how the developments have improved the GM scores for the past 3 years. This study, focusing on the IZTECH campus through historical, social, educational, and technological perspectives, unveils the barriers between developing and implementing sustainability practices and examines the cohesion between GM scores and annual reports of campus activities for further projections towards a greener campus. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.Article 3D Magnetic Nanocomposite Aerogel (3D-MANCA) for Humidity Sensing and Dye Adsorption Applications(Institute of Physics, 2026) Shah, N.; Tetik, H.; Lin, D.Introducing magnetic properties to aerogels not only opens new application areas but also enhances their performance in various applications. Herein, we report a novel 3D magnetic agar nanocomposite aerogel (3D-MANCA) with outstanding characteristics such as high porosity, magnetic property, rapid swelling behavior, and a unique stimuli-driven electrical conductivity. Agar and nanocellulose mixture were selected as the matrix material, while magnetic Fe<inf>3</inf>O<inf>4</inf> nanoparticles, CuO nanoparticles, and graphene nanopowder were incorporated as functional additives. 3D-MANCA obtained after a uni-directional freeze casting process exhibited a highly-ordered microporosity. It showed excellent magnetic properties and methylene-blue adsorption capability and a great performance as humidity sensor. © 2026 The Author(s). Published on behalf of The Electrochemical Society by IOP Publishing Limited.Article Improved Colorectal Gland Segmentation in Histopathology Images with Adaptive Resizer-Enhanced U-Net Models(Springer Science and Business Media Deutschland GmbH, 2026) Fidan, E.; Gumus, A.Utilizing low-resolution images for computer vision tasks such as classification and segmentation can sometimes hinder the model’s ability to accurately learn essential features. While using high-resolution images and designing compatible models might seem like viable solutions, they are not always feasible due to energy efficiency and graphical computation constraints. Downsizing images for model training and application is an effective approach for improving computational efficiency and optimizing model performance.The bilinear resizing method, commonly employed for this purpose, inherently causes information loss due to its numerical approach, which relies solely on the four nearest pixel values to compute each target pixel. This limitation becomes more pronounced with high-resolution images, where the down sampling process intensifies the loss of critical information. However, recent advancements have introduced adaptive resizer modules, which dynamically adjust image dimensions to better preserve essential features before processing by deep learning models. In this study, an adaptive resizer-based segmentation framework is proposed for the gland segmentation task, which is crucial for accurate disease diagnosis, particularly in cancer analysis. Three distinct encoder-decoder architecture segmentation models are assessed for image segmentation using the Colorectal Adenocarcinoma Gland (CRAG) gland segmentation database. Each architecture was tested separately, employing six different backbone encoders that were pretrained on the ImageNet dataset. The comparative analysis showed that the adaptive resizer improved segmentation performance, increasing the Intersection over Union (IoU) metric by an average of 5.6%. This enhancement raised the lowest IoU from 62% to 70% and the highest to 78%. The code is available on GitHub at https://github.com/miralab-ai/adaptive-resizer-segmentation. © The Author(s) 2026.Article On the Electromagnetic Scattering from Deformed Spherical Dielectric Objects(Institute of Electrical and Electronics Engineers Inc., 2026) Ates, B.; Kuştepeli, A.; Çetin, Z.In this article, an analytical investigation of electromagnetic scattering from deformed dielectric spheres using Debye potentials and the perturbation method is presented. To address a broad spectrum of scattering problems, azimuthal variation is included, which leads to scatterers with non-rotationally symmetric shapes depending on the θ and φ angles in spherical coordinates. The analysis of the scattered and transmitted fields is carried out explicitly up to the second order in the perturbation parameter, thereby achieving higher accuracy. The coefficients of the scattered and transmitted fields are expressed in terms of Clebsch-Gordan coefficients, facilitating the computation of results for new geometries through basic algebraic manipulations. Numerical results and comparisons are provided for several obstacle geometries, including irregular shapes and bodies of revolution, with different relative permittivities and permeabilities, in terms of backward, forward, and bi-static radar cross sections. © 1963-2012 IEEE.Conference Object Material Optimisation for Future Double Skin Façade System Design(Institute of Physics, 2025) Unluturk, M.S.; Kazanasmaz, Z.T.; Ekici, B.; Göksal Özbalta, T.G.Façades have a significant impact on energy consumption in interiors. Designers aimed to reduce energy consumption by developing different façade systems. Double Skin Façade (DSF) aims to increase thermal and ventilation performance in the interior. The depth of the cavity gap between the two façade layers with air inside may adversely affect indoor daylight performance. In addition, studies in the literature indicate that this façade system shows optimum performance in cold climates. With the right design decisions, the DSF system can provide optimum performance in hot climates. In building designs with DSF systems in these climate zones, daylight and energy simulations can make the right design decisions. However, the climate crisis (CC) is increasing air temperatures and sunshine hours in hot and arid climate zones. Simulations are based on current climate data, and the recommendations obtained may not show optimum performance in the future. The study aims to propose an educational building model with a DSF system that will provide optimum visual comfort for 50 years in the Mediterranean climate type (CSA). Meteonorm has created weather scenarios for Izmir for 2050 and 2080. Opossum and Galapagos carried out the optimisation process using this data. The study proposes models that will perform optimally in Izmir for 50 years. © Published under licence by IOP Publishing Ltd.Book Part Placing `The Rural` in Territorial Governance(Edward Elgar Publishing Ltd., 2025) Scott, M.; Gkartzios, M.; Gallent, N.Despite living in the so-called "urban age", development conflicts and global challenges have never looked more "rural" in nature. This includes the role of rural places in the context of energy and food security, natural resource extraction, a site for climate action, and the imperative of nature recovery. This chapter proposes a framework in which the diversity and complexity of rural places is revealed in a practical way, building on a conceptualisation of relational rural capitals that are fundamental to the function and potential of those places. In the context of debates concerning the future of rural areas, and the role of territorial governance in delivering a sustainable, inclusive and resilient countryside, this chapter considers the value of a place capitals perspective in unpacking, firstly, "what makes" rural places and, secondly, the ways that territorial interventions can ensure the protection, enhancement, and sensitive use of those capitals. © The Editors and Contributors Severally 2025.