Welcome to the Polen - ITU Academic Archive

Polen stores all academic resources—such as books, articles, theses, papers, reports, and research data—directly or indirectly published by the academic and administrative staff and students of Istanbul Technical University in a digital environment in accordance with international standards. It facilitates monitoring the university’s academic performance, ensures the long-term preservation of resources, and provides open access to publications in compliance with copyright regulations to enhance their impact.

The ITU Open Access System provides access to scientific and artistic works—such as books, articles, theses, encyclopedias, and artworks—produced by our faculty members and students in accordance with international standards and intellectual property rights.

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Açık Ders Kaynakları 30
İTÜ'de verilen bazı derslerin video kayıtlarını içermektedir.
Akademik Çalışmalar 45872
İTÜ'de yapılan akademik çalışmaları içermektedir.
Arşiv Koleksiyonu 603
Çeşitli birimlerde yer alan arşiv koleksiyonunu içermektedir.
Sunumlar 42
Kurum içinde yapılan çeşitli sunumların çıktılarını içermektedir.
Temel Kayıtlar 2825
Master Data

Recent Submissions

Access status: Metadata only ,
A Novel HDMR-KRX Algorithm for Anomaly Detection on Hyperspectral Images
(IEEE, 2025-09-04) Ahmet Topal; Burcu Tunga; Evrim Korkmaz Ozay; Matematik Bölümü; Matematik Bölümü; Topal, Ahmet; Tunga, Burcu
The process of anomaly detection focuses on detecting pixels whose spectral signatures differ from the background. This work proposes a High Dimensional Model Representation (HDMR) based Kernel RX anomaly detector to better address the relationships between pixels. To this end, the image generated by HDMR components is given as input to KRX to detect anomalies. In experimental work, our algorithm was compared with well-known traditional anomaly detection algorithms on two hyperspectral images. Results show that proposed algorithm was proven to have stronger performance than other approaches and detected anomalies with fewer false alarms.
Access status: Metadata only ,
Improved Hyperspectral Anomaly Detection via High Dimensional Model Representation and Connected Component Filtering
(IEEE, 2025-09-04) Topal, Ahmet; Tunga, Burcu; Özay, Evrim Korkmaz ; Matematik Bölümü; Matematik Bölümü; Topal, Ahmet; Tunga, Burcu
Hyperspectral imaging provides rich spectral information by capturing many narrow bands across the electromagnetic spectrum. While the high dimensionality of such data offers detailed spectral signatures, it also demands effective modeling strategies for accurate anomaly detection. We propose a three-step algorithm based on High Dimensional Model Representation (HDMR), a decomposition technique that provides feature selection and extraction. By leveraging the structure of HDMR, we enhance the visibility of anomaly pixels of hyperspectral images and improve the detection performance. Our method is evaluated against standard algorithms such as RX, LRX, CRD, and DWEST. Results show that it improves anomaly detection accuracy and reduces false alarms, demonstrating the effectiveness of HDMR-based anomaly detection in isolating anomalous patterns within high-dimensional data.
Access status: Open Access ,
Selecting the market for an international construction enterprise
(Polish Academy of Sciences Chancellery, 2025-09-03) Michał Tomczak; Agata Czarnigowska; Gul Polat; İnşaat Mühendisliği Bölümü; Polat Tatar, Gül; Tatar, Gül Polat
The selection of the target market (i.e., country) is a key decision that affects the contractor’s development prospects and determines success or failure in the competitive international construction environment. Despite its importance, the problem of market selection has been the subject of limited research and few tools have been proposed to help reduce the risk of making the wrong choice. Availability of several compromising/conflicting criteria, the difficulty in articulating and capturing them, and the ambiguities that may arise in their interpretation make the market selection for a construction enterprise a complicated task. This paper addresses this research gap and presents a tool based on a modified Fuzzy Group Analytic Hierarchy Process, which employs a type-2 fuzzy envelope of extended hesitant linguistic term set (EHFLTS) to aggregate the decision-maker’s judgments. Using extended hesitant linguistic terms, the comparative linguistic expressions (CLEs) generated using context-free grammar (CFG) enable the decision-maker(s) to express their preferences in a way that resembles a natural language. They also help to capture the hesitation in prioritizing the available options. The process of computing with word (CWW) with CLEs is implemented through EHFLTS envelopes. To illustrate the method’s principles of operation, a hypothetical case of selecting the best market for the construction enterprise is introduced.
Access status: Metadata only ,
Optimum Scheduling of Energy Storage Systems in Distribution Grids to Minimize the Duck Curve Slope
(IEEE, 2025-09-02) Behbahani, Fatemeh Mohammadi; Ceylan, Oguzhan; Ozdemir, Aydogan; Behbahani, Fatemeh Mohammadi
Integrating a significant amount of solar energy into the power grid may cause a net load with steep ramps and deep midday valleys called the Duck Curve. In this work, an optimization-based approach is used for optimal scheduling of Battery Energy Storage Systems (BESS) in a 33-bus distribution network to lower the net load slope and reduce the Duck-curve effect. A metaheuristic optimization algorithm is employed to determine the optimal hourly dispatch and the initial state of charge (SoC) to flatten the Duck Curve. The suggested strategy decreased the slope of the net load by 78% and provided a scalable and practical solution for distribution network operators to improve network flexibility and stability in the face of increasing penetration of renewable energy.
Access status: Metadata only ,
State-Space Modeling With Mamba For Interpretable Crop Yield Estimation: A Cotton Case
(IEEE, 2025-09-02) Erten, Esra; Ertürk, Alp; Yardımcı, Furkan; Isik, Mustafa Serkan; Harita Mühendisliği Bölümü; Harita Mühendisliği Bölümü; Erten, Esra; Işık, Mustafa Serkan