WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8653
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Book Part A Study of the Thorp Green Poems of Anne Bronte: Poetic Artistry as a Cure for Her Nostalgia(Vernon Press, 2025) Sonmez-Demir, YagmurAmong the Bronte Sisters, Anne Bronte is the least studied, and the bulk of literary scholarship is on her novels. Most of the critics agree on the fact that her literary production is autobiographical. Taking my cue from the existing scholarship on Anne Bronte, I will study the poems Anne wrote when she was employed as a governess in Thorp Green by the Robinsons between 1840 and 1845. Highly influenced by the romantic poets preceding her, she shared her emotions in her poems. As her biographers (Gerin, Chitham, Langland) also noted, she felt excluded and lonely, especially at the start of her employment in Thorp Green, and she was able to visit her family only on Christmas and two weeks in June each year, which led her to develop a longing for her home and her family. An exhaustive study of her Thorp Green poems displays that she dislikes being there, experiences homesickness, and longs for the past days. With the exception of Gondal and religious poems written at that time span, she expresses her loneliness, solitude, and feelings of melancholy in the poems. When her homesickness heightened, she found solace in her memories and turned her feelings of longing into poetic creation. She either draws on her memories about her home in Haworth or uses objects in nature, such as a flower or a scenery as memorative signs to trigger her memories. According to sociologist Svetlana Boym, nostalgia can be "a poetic creation, an individual mechanism of survival, a countercultural practice, a poison, or a cure" (Boym 18). In this study, I will read Anne Bronte's Thorp Green Poems through the prism of theories of nostalgia, and argue that she wrote poems in order to deal with her nostalgia, for which her poetic creation becomes a cure.Conference Object Software Standards in Action: A Complaint-Driven Game Inspired by Real Project Failures(Fac Organization and Informatics, University Zagreb, 2025) Tunc, Sevgi KoyuncuComplaint to Compliance is a classroom-based game teaching ISO/IEC/IEEE 12207 standards through real-world complaint-driven scenarios. Grounded in experiential learning, its low-tech, card-based design fosters active learning via guided discussion. A qualitative case study (n=21) analyzed student perceptions, revealing: (1) conceptual bridging of theory and practice, (2) professional identity development, and (3) enhanced engagement through gamification. The accessible design offers a scalable model for standards education. Preliminary findings suggest pedagogical value for information systems education, with further cross-cultural validation needed.Conference Object Covariance Features for Trajectory Analysis(IEEE, 2016) Karadeniz, Talha; Maras, Hadi HakanIn this work, we aimed to demonstrate that covariance estimation methods can be used for trajectory classification. We have shown that, features obtained via shrunk covariance estimation are suitable for describing trajectories. We have arrived to the conclusion that, when compared to Dynamic Time Warping, the explained technique is faster and may yield more accurate results.Conference Object The Implementation of a Successive Cancellation Polar Decoder on Xilinx System Generator(Institute of Electrical and Electronics Engineers Inc., 2017) Arli, A.Ç.; Colak, A.; Gazi, O.Polar coding is the first kind of the capacity achieving codes which are defined for binary-input discrete memoryless channels initially. Parallel processing property of the FPGA allows to decode faster with a margin of complexity. Xilinx System Generator as a practical tool to construct decoding designs in shorter time is a fact. In this study, FPGA implementation of decoding polar codes through Xilinx System Generator is shown. © 2023 Elsevier B.V., All rights reserved.Conference Object Citation - WoS: 1Citation - Scopus: 1Dengesiz Epilepsi Veri Seti İçin Sınıflandırmada Farklı SMOTE Yöntemlerinin Etkileri(Institute of Electrical and Electronics Engineers Inc., 2025) Calis, Ahmet Gokay; Ergezer, HalitIn this study, the effects of different SMOTE methods on machine learning algorithms for the imbalanced epilepsy dataset were investigated. After filtering, the imbalanced dataset was balanced with 5 different SMOTE methods and classified with various machine learning algorithms. Coarse-K-Nearest Neighbor, Bagged Trees, and Artificial Neural Networks models were evaluated in epilepsy detection. The performance of these different models was compared with Matthews Correlation Coefficient (MCC) and F1 Score metrics. The results showed that the Borderline-SMOTE algorithm had the highest F1 Score and MCC values among all machine learning algorithms. © 2025 Elsevier B.V., All rights reserved.Conference Object AviBERT: Transformer Tabanlı Hava Aracı Metni Sınıflandırma(Institute of Electrical and Electronics Engineers Inc., 2025) Unal, Muhammed Cihat; Yurtalan, Gokhan; Karatas, Yahya Bahadir; Karamanlioglu, Alper; Demirel, BerkanIn recent years, transformer-based models pre-trained on extensive corpora have played a critical role in the advancement of Natural Language Processing methodologies. Particularly, methods based on BERT have demonstrated remarkable performance across various tasks by offering robust capabilities in deeply understanding texts semantically. However, despite these advancements, there is a notable scarcity of studies applying these technologies in the aviation sector. This paper develops a multi-class classification model for aviation-specific texts using variants of BERT. The study encompasses the processes of collecting web content related to aircraft, labeling and model training. The details of the dataset are explained and the outcomes of the study are assessed based on the macro F1-score and accuracy of different models. © 2025 Elsevier B.V., All rights reserved.Conference Object Model Enhancement for UAV Stealth in X-Band(Institute of Electrical and Electronics Engineers Inc., 2025) Unalir, Dizdar; Yalcinkaya, Bengisu; Aydin, ElifWith the rapid advancement of technology, radar detection techniques continue to evolve, challenging the effectiveness of traditional unmanned aerial vehicles (UAVs) stealth techniques. As the usage of UAVs in military applications expands, the need for effective radar cross section reduction (RCSR) methods to enhance their stealth capabilities has grown significantly. In this study, we propose an enhancement of a previously developed Low-RCS UAV model, focusing on RCSR with shaping technique in the X-band. For the identification and optimization of the UAV model’s highly reflective components, a detailed simulative analysis of the RCS was performed using CST Studio Suite Environment. The modifications are applied to the body and leg components to minimize radar reflections. Simulation results demonstrated that the proposed enhancements significantly reduced RCS values compared to the original Low-RCS UAV model. A total of 13 dBsm reduction in RCS was observed compared to the traditional UAV models. Comparative analysis for different frequencies in X-Band and various aspect angles confirmed the effectiveness of the improved design, validating its potential for stealth applications. The findings can contribute to the research in UAV stealth technology and provide insights into future low-visibility UAV designs. © 2025 Elsevier B.V., All rights reserved.Conference Object Unified Lf-Norm Robust Fitting for Linear Models(Institute of Electrical and Electronics Engineers Inc., 2025) Nar, Fatih; Saran, Murat; Saran, Ayse Nurdan; Sen, BahaIn statistical learning, accurately estimating model parameters is crucial for reliable predictions. Managing residuals, the differences between observed and predicted values, is a key challenge. In regression, the residual penalty choice strongly affects model performance. The L<inf>2</inf>-norm penalty aligns with the least-squares approach, while the L<inf>1</inf>-norm provides robust fitting by minimizing the influence of outliers. To generalize models, the weights can be regularized using either the L<inf>2</inf>-norm or L<inf>1</inf>-norm, corresponding to Ridge and LASSO regularization, respectively. Many methods have been developed to penalize residuals and model weights, resulting in diverse cost functions optimized by specific numerical solvers. In this study, we propose the smooth L<inf>f</inf>-norm, a quasi-norm, as a unified framework for penalizing both residuals and model weights in linear models. Our efficient and robust numerical minimization scheme ensures fast and accurate fitting by minimizing our novel cost function. © 2025 Elsevier B.V., All rights reserved.Article Dispossessed Homes: Remembering Cyprus in the Aftermath of Conflict(Routledge Journals, Taylor & Francis Ltd, 2025) Pancaroglu, Seda BaharThis paper will interrogate the reconfiguration of "home" in the context of the Cyprus conflict, as depicted in Christy Lefteri's novel A Watermelon, a Fish, and a Bible. The long history of ethnic and political tensions between the Greek Cypriot and Turkish Cypriot communities escalated with political instability and reached its peak in 1974. Set during the heated midst of the 1974 conflict, Lefteri's novel offers multiple meanings of home through shifting focalisation. This study combines focalisation from narratology with Henri Lefebvre's the Production of Space, enriched by theories surrounding the notion of home. This analytical framework enables a comprehensive exploration of how narrative perspectives both shape and reflect the phenomenology of space in literature, particularly within conflict zones. This approach is particularly relevant for analysing divided or contested geographies, such as Cyprus in Christy Lefteri's A Watermelon, a Fish, and a Bible. By examining how characters perceive and navigate their surroundings, the analysis will reveal how "home", once seen as secure, familiar, or sacred, is redefined by conflict and how new meanings emerge in moments of crisis. It also highlights the dialogic nature of spatial experience in literature, where multiple perspectives on space can coexist, clash, and influence each other, reflecting the complexity of lived experience in a divided realm.Conference Object Citation - WoS: 1Propagation of a Generalized Beam in Abcd System(Cemal Ardil-IEC Barbaros Mah Hasret Sitesi, 2005) Eyyuboglu, HT; Elektronik ve Haberleşme MühendisliğiFor a generalized Hermite sinosiodal/hyperbolic Gaussian beam passing through an ABCD system with a finite aperture, the propagation properties are derived using the Collins integral. The results are obtained in the form of intensity graphs indicating that previously demonstrated rules of reciprocity are applicable, while the existence of the aperture accelerates this transformation.