Zobrazeno 1 - 10
of 25 527
pro vyhledávání: '"Özdemir P"'
Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data Setting
Autor:
Ünsal, Serbülent, Özdemir, Sinem, Kasap, Bünyamin, Kalaycı, M. Erşan, Turhan, Kemal, Doğan, Tunca, Acar, Aybar C.
In this study, we propose HOPER (HOlistic ProtEin Representation), a novel multimodal learning framework designed to enhance protein function prediction (PFP) in low-data settings. The challenge of predicting protein functions is compounded by the li
Externí odkaz:
http://arxiv.org/abs/2412.08649
Autor:
Lee, Hwaseob, Chang, Lorry, Kecebas, Ali, Mao, Dun, Xiao, Yahui, Li, Tiantian, Alù, Andrea, Özdemir, Sahin K., Gu, Tingyi
Exceptional points (EPs) have been extensively explored in mechanical, acoustic, plasmonic, and photonic systems. However, little is known about the role of EPs in tailoring the dynamic tunability of optical devices. A specific type of EPs known as c
Externí odkaz:
http://arxiv.org/abs/2410.22535
Autor:
Sellner, Jan, Studier-Fischer, Alexander, Qasim, Ahmad Bin, Seidlitz, Silvia, Schreck, Nicholas, Tizabi, Minu, Wiesenfarth, Manuel, Kopp-Schneider, Annette, Knödler, Samuel, Haney, Caelan Max, Salg, Gabriel, Özdemir, Berkin, Dietrich, Maximilian, Michel, Maurice Stephan, Nickel, Felix, Kowalewski, Karl-Friedrich, Maier-Hein, Lena
Novel optical imaging techniques, such as hyperspectral imaging (HSI) combined with machine learning-based (ML) analysis, have the potential to revolutionize clinical surgical imaging. However, these novel modalities face a shortage of large-scale, r
Externí odkaz:
http://arxiv.org/abs/2410.19789
Autor:
Moore, Joshua, Abdalla, Aly Sabri, Ueltschey, Charles, Gürses, Anıl, Özdemir, Özgür, Sichitiu, Mihail L., Güvenç, İsmail, Marojevic, Vuk
The rapid evolution of 5G and beyond has advanced space-air-terrestrial networks, with unmanned aerial vehicles (UAVs) offering enhanced coverage, flexible configurations, and cost efficiency. However, deploying UAV-based systems presents challenges
Externí odkaz:
http://arxiv.org/abs/2410.09648
Autor:
Özdemir, Övgü, İşyapar, M. Tuğberk, Karagöz, Pınar, Schmidt, Klaus Werner, Demir, Demet, Karagöz, N. Alpay
Modern vehicles are equipped with Electronic Control Units (ECU) that are used for controlling important vehicle functions including safety-critical operations. ECUs exchange information via in-vehicle communication buses, of which the Controller Are
Externí odkaz:
http://arxiv.org/abs/2409.07505
Autor:
Baumann, Alexander, Ayala, Leonardo, Studier-Fischer, Alexander, Sellner, Jan, Özdemir, Berkin, Kowalewski, Karl-Friedrich, Ilic, Slobodan, Seidlitz, Silvia, Maier-Hein, Lena
Hyperspectral imaging (HSI) is emerging as a promising novel imaging modality with various potential surgical applications. Currently available cameras, however, suffer from poor integration into the clinical workflow because they require the lights
Externí odkaz:
http://arxiv.org/abs/2409.07094
Autor:
Seidlitz, Silvia, Sellner, Jan, Studier-Fischer, Alexander, Motta, Alessandro, Özdemir, Berkin, Müller-Stich, Beat P., Nickel, Felix, Maier-Hein, Lena
Robust semantic segmentation of intraoperative image data holds promise for enabling automatic surgical scene understanding and autonomous robotic surgery. While model development and validation are primarily conducted on idealistic scenes, geometric
Externí odkaz:
http://arxiv.org/abs/2408.15373
Autor:
Özdemir, Alperen
For a sequence of random graphs, the limit law we refer to is the existence of a limiting probability of any graph property that can be expressed in terms of predicate logic. A zero-one limit law is shown by Shelah and Spencer for Erd\"{o}s-Renyi gra
Externí odkaz:
http://arxiv.org/abs/2408.07475
There are many widely used tools for measuring test-coverage and code-coverage. Test coverage is the ratio of requirements or other non-code artifacts covered by a test suite, while code-coverage is the ratio of source code covered by tests. Almost a
Externí odkaz:
http://arxiv.org/abs/2408.06148
We present time-dependent density functional theory (TDDFT) calculations of fluorescence emission energies for 284 distinct graphene quantum dots (GQDs) of varying shapes (square, hexagonal, and amorphous) and sizes ($\sim$1-2 nm). These GQDs are dop
Externí odkaz:
http://arxiv.org/abs/2408.05594