Zobrazeno 1 - 10
of 26 898
pro vyhledávání: '"Selin, A."'
Climate models exhibit an approximately invariant surface warming pattern in typical end-of-century projections. This observation has been used extensively in climate impact assessments for fast calculations of local temperature anomalies, with a lin
Externí odkaz:
http://arxiv.org/abs/2411.14183
Over the past two decades, tools from network science have been leveraged to characterize the organization of both structural and functional networks of the brain. One such measure of network organization is hub node identification. Hubs are speciali
Externí odkaz:
http://arxiv.org/abs/2410.17410
Conventional tomographic reconstruction typically depends on centralized servers for both data storage and computation, leading to concerns about memory limitations and data privacy. Distributed reconstruction algorithms mitigate these issues by part
Externí odkaz:
http://arxiv.org/abs/2410.06106
Autor:
Ortiz-Bouza, Meiby, Aviyente, Selin
Publikováno v:
2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
Multiplex networks have emerged as a promising approach for modeling complex systems, where each layer represents a different mode of interaction among entities of the same type. A core task in analyzing these networks is to identify the community st
Externí odkaz:
http://arxiv.org/abs/2410.00724
Full-complexity Earth system models (ESMs) are computationally very expensive, limiting their use in exploring the climate outcomes of multiple emission pathways. More efficient emulators that approximate ESMs can directly map emissions onto climate
Externí odkaz:
http://arxiv.org/abs/2408.05288
To enable remote Virtual Reality (VR) and Augmented Reality (AR) clients to collaborate as if they were in the same space during Mixed Reality (MR) telepresence, it is essential to overcome spatial heterogeneity and generate a unified shared collabor
Externí odkaz:
http://arxiv.org/abs/2408.04297
Autor:
Abdioglu, Hasan Berkay, Isik, Yagmur, Sevgi, Merve, Kirabali, Ufuk Gorkem, Mert, Yunus Emre, Guldogan, Gulnihal, Serdarli, Selin, Gulen, Tarik Taha, Uvet, Huseyin
Accurately measuring cell stiffness is challenging due to the invasiveness of traditional methods like atomic force microscopy (AFM) and optical stretching. We introduce a non-invasive off-axis system using holographic imaging and acoustic stimulatio
Externí odkaz:
http://arxiv.org/abs/2407.21182
Autor:
Yildirim, Selin, Manguoglu, Murat
Sparse matrices, as prevalent primitive of various scientific computing algorithms, persist as a bottleneck in processing. A skew-symmetric matrix flips signs of symmetric pairs in a symmetric matrix. Our work, Parallel 3-Way Banded Skew-Symmetric Sp
Externí odkaz:
http://arxiv.org/abs/2407.17651
Autor:
Cai, Fei-Fan, Sarac, Baran, Akman, Adnan, Londoño, Juan J., Gümrükcü, Selin, Schweiger, Lukas, Hantusch, Martin, Schroers, Jan, Blatter, Andreas, Gebert, Annett, Spieckermann, Florian, Eckert, Jürgen
Hydrogen is a promising energy carrier for replacing fossil fuels, and hydrogen production via hydrogen evolution reaction (HER) is an environmentally friendly option if electrocatalysts with low overpotentials and long-term stability are used. In th
Externí odkaz:
http://arxiv.org/abs/2406.14079
Autor:
Morales-Navarro, Luis, Kafai, Yasmin B., Nguyen, Ha, DesPortes, Kayla, Vacca, Ralph, Matuk, Camillia, Silander, Megan, Amato, Anna, Woods, Peter, Castro, Francisco, Shaw, Mia, Akgun, Selin, Greenhow, Christine, Garcia, Antero
TikTok, a popular short video sharing application, emerged as the dominant social media platform for young people, with a pronounced influence on how young women and people of color interact online. The application has become a global space for youth
Externí odkaz:
http://arxiv.org/abs/2405.15437