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Exploring the genetic landscape of COVID-19 susceptibility and severity among patients in Türkiye Er, Ahmet Gorkem; Çakır, Yavuzhan; Er, Berrin; Burduroğlu, Hüseyin Cahit; Çakmak, Mehmet; ÖZIŞIK, LALE; DURUSU TANRIÖVER, MİNE; Topeli, Arzu; Aydın Son, Yeşim; Ünal, Serhat (2026-12-01) Background: One of the most challenging factors for clinicians in managing COVID-19 has been differences in the clinical course. To investigate the parameters associated with severe disease in detail, along with examining ...
A robust machine learning framework for predicting the higher heating value of poultry litter using proximate analysis Eren, Beytullah; Uzun, Suleyman; Özdemir, Serkan (2026-08-01) Accurate estimation of the higher heating value (HHV) of poultry litter is critical for its valorization as a renewable energy feedstock. However, the heterogeneity of poultry litter and data scarcity pose challenges for p...
Hybrid Intelligence Feedback: A Model Proposal and Preliminary Study Coskun, Atakan; Er, Erkan (2026-04-01) Background: Although existing studies suggest that AI chatbots hold potential as feedback tools in educational settings, there remains a significant gap in the literature regarding pedagogically grounded frameworks or guid...
Surface Roughness Dataset for Fused Filament Fabrication Erkan, Engin Deniz; Sürer, Elif; Yaman, Ulaş (2026-03-01) Surface quality remains one of the key challenges in fused filament fabrication (FFF), as surface roughness is influenced by multiple interacting process parameters and geometric factors. Because roughness cannot be reliab...
Interactive 3D visualization of surface roughness predictions in additive manufacturing: A data-driven framework Erkan, Engin Deniz; Sürer, Elif; Yaman, Ulaş (2026-03-01) Surface roughness in Material Extrusion Additive Manufacturing varies across a part and is difficult to anticipate during process planning because it depends on both printing parameters and local surface inclination, which...
DS PRO-S: A Success Assessment Model and Methodology for Data Science Projects Gökay, Gonca Tokdemir; GÖKALP AYDIN, EBRU; Eren, Pekin Erhan (2026-03-01) There is a persistent paradox in the data science domain: despite the growing recognition of data as a strategic asset, many projects designed to leverage its value still suffer from high failure rates. To address this cha...
Parametric Sound Field Interpolation for Scene-based Navigable Immersive Audio Olgun, Orhun; Deveci, İbrahim Ethem; Hacıhabiboğlu, Hüseyin (2026-01-01) Modern eXtended Reality (XR) systems are capable of tracking their users' positions within a navigable volume. This opens up the possibility of more realistic interactions with the content not only via head rotations, but ...
HR-ACT (Human–Robot Action) Database: Communicative and noncommunicative action videos featuring a human and a humanoid robot Pekçetin, Tuǧçe Nur; Aşkın, Gaye; Evsen, Şeyda; Karaduman, Tuvana Dilan; Barinal, Badel; Tunç, Jana; Acartürk, Cengiz; Urgen, Burcu A. (2026-01-01) We present the HR-ACT (Human–Robot Action) Database, a comprehensive collection of 80 standardized videos featuring matched communicative and noncommunicative actions performed by both a humanoid robot (Pepper) and a human...
Visual attention allocation between social and navigational cues during wayfinding: An eye-tracking study in virtual reality Orlu Özen, Gökçe; İmamoğlu, Çağrı; Sürer, Elif; Altay, Burçak (2026-01-01) This study investigates how the presence of people in a built environment influences visual attention and navigational performance. Using immersive virtual reality and eye-tracking, participants navigated an airport termin...
Exploring challenges in deep learning of single-station ground motion records Çağlar, Ümit Mert; Yilmaz, Baris; Türkmen, Melek; Akagündüz, Erdem; Tileylioglu, Salih (2025-12-01)
A comparative analysis of hyperparameter optimization using LSTM-based deep learning models for urban air quality predictions Eren, Beytullah; Erden, Caner; Atalı, Ayşegül; Özdemir, Serkan (2025-12-01) Air pollution poses significant threats to human health and the environment, necessitating accurate prediction models for effective management and mitigation strategies. This study presents a comprehensive analysis of hype...
Effective primer design for genotype and subtype detection of highly divergent viruses in large scale genome datasets Demiralay, Burak; Can, Tolga (2025-12-01) Identification of microorganisms in a biological sample is a crucial step in diagnostics, pathogen screening, biomedical research, evolutionary studies, agriculture, and biological threat assessment. While progress has bee...
Augmenting atmospheric turbulence effects on thermal-adapted deep object detection models Uzun, Engin; Akagündüz, Erdem (2025-12-01) Atmospheric turbulence poses a significant challenge to the performance of object detection models. Turbulence causes distortions, blurring, and noise in images by bending and scattering light rays due to variations in the...
Enhancing lake water level forecasting with attention-based LSTM: a data-driven approach to hydrology and tourism dynamics Chapon, Máté; Özdemir, Serkan (2025-11-01) In recent decades, freshwater lakes in the Northern Hemisphere have faced significant challenges, including severe water shortages and increased stormwater discharges. As a result, accurate forecasting of lake water levels...
Under the Shadow: Old-biased Genes Are Subject to Weak Purifying Selection at Both the Tissue- and Cell Type-Specific Levels Yıldız, Melih; İzgi, Hamit; Rahimova, Firuza; Altintaş, Umut Berkay; Şahin, Zeliha Gözde; Somel, Mehmet (2025-10-01) The mutation accumulation hypothesis suggests that weakened purifying selection at old age leads to the accumulation of late-acting deleterious variants in the gene pool, which may contribute to the evolution of ageing. In...
Progressive Disease Image Generation with Ordinal-Aware Diffusion Models Kurt, Meryem Mine; Çağlar, Ümit Mert; Temizel, Alptekin (2025-10-01) Background/Objectives: Ulcerative Colitis (UC) lacks longitudinal visual data, which limits both disease progression modeling and the effectiveness of computer-aided diagnosis systems. These systems are further constrained...
Cryptanalysis: Theory Versus Practice Correcting Cryptanalysis Results on Ascon, ChaCha, and Serpent Using GPUs Tezcan, Cihangir; Leander, Gregor; Hadipour, Hosein (2025-09-25) Most modern cryptanalysis results are obtained through theoretical analysis, often relying on simplifications and idealized assumptions. In this work, we use the parallel computational power of GPUs to experimentally verif...
A Dual Eye Tracking Study of Joint Attention in Adults with Autism Spectrum Disorder Otizm Spektrum Bozukluğu Olan Yetişkinlerde Ortak Dikkat Üzerine Dual Göz İzleme Çalışması MANÇE ÇALIŞIR, ÖYKÜ; Çakır, Murat Perit; Acartürk, Cengiz; Atbaşoğlu, Eşref Cem (2025-09-01) Introduction: Joint attention (JA) is a fundamental aspect of social interaction and a cornerstone of social communication. This study explores factors influencing JA in adults with Autism Spectrum Disorder (ASD) using an ...
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge Zenk, Maximilian; et. al. (2025-07-01) Computational competitions are the standard for benchmarking medical image analysis algorithms, but they typically use small curated test datasets acquired at a few centers, leaving a gap to the reality of diverse multicen...
Wave 2 of the Multilingual Eye-Movement Corpus (MECO): New text reading data across languages Siegelman, Noam; et. al. (2025-07-01) This paper reports the Wave 2 expansion of the Multilingual Eye-Movement Corpus (MECO), a collaborative multi-lab project collecting eye-tracking data on text reading in a variety of languages. The present expansion comes ...

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