Zobrazeno 1 - 10
of 60 700
pro vyhledávání: '"Eren A."'
Autor:
Gollwitzer, Jakob, Kaaret, Jeffrey Z., Suyolcu, Y. Eren, Khalsa, Guru, Fernandes, Rylan C., Gorobtsov, Oleg, Buchenau, Sören, You, ChanJu, Higgins, Jayanti, Russell, Ryan S., Shao, Ziming, Birkhölzer, Yorick A., Sato, Takahiro, Chollet, Matthieu, Coslovich, Giacomo, Brützam, Mario, Guguschev, Christo, Harter, John W., Disa, Ankit S., Schlom, Darrell G., Benedek, Nicole A., Singer, Andrej
We investigate the ultrafast structural dynamics of LaAlO3 thin films driven by short mid-infrared laser pulses at 20 THz. Time-resolved X-ray diffraction reveals an immediate lattice expansion and an acoustic breathing mode of the film. First-princi
Externí odkaz:
http://arxiv.org/abs/2412.17192
Autor:
Cesur, Berke Levent, Karasayar, Ayse Humeyra Dur, Bulutay, Pinar, Kapucuoglu, Nilgun, Mericoz, Cisel Aydin, Eren, Handan, Dilbaz, Omer Faruk, Osmanli, Javidan, Yetkili, Burhan Soner, Kulac, Ibrahim, Koyuncu, Can Fahrettin, Gunduz-Demir, Cigdem
Cell detection and segmentation are integral parts of automated systems in digital pathology. Encoder-decoder networks have emerged as a promising solution for these tasks. However, training of these networks has typically required full boundary anno
Externí odkaz:
http://arxiv.org/abs/2412.15392
Face alignment is a crucial step in preparing face images for feature extraction in facial analysis tasks. For applications such as face recognition, facial expression recognition, and facial attribute classification, alignment is widely utilized dur
Externí odkaz:
http://arxiv.org/abs/2412.11779
Autor:
Kilickaya, Sertac, Ahishali, Mete, Celebioglu, Cansu, Sohrab, Fahad, Eren, Levent, Ince, Turker, Askar, Murat, Gabbouj, Moncef
The frequent breakdowns and malfunctions of industrial equipment have driven increasing interest in utilizing cost-effective and easy-to-deploy sensors, such as microphones, for effective condition monitoring of machinery. Microphones offer a low-cos
Externí odkaz:
http://arxiv.org/abs/2412.10792
We provide a comprehensive picture for the formulation of the perfect fluid in the modern effective field theory formalism at both the classical and quantum level. Due to the necessity of decomposing the hydrodynamical variables $(\rho, p, u^\mu)$ in
Externí odkaz:
http://arxiv.org/abs/2412.10344
Condition monitoring of induction machines is crucial to prevent costly interruptions and equipment failure. Mechanical faults such as misalignment and rotor issues are among the most common problems encountered in industrial environments. To effecti
Externí odkaz:
http://arxiv.org/abs/2412.05901
Autor:
Bhattarai, Manish, Barron, Ryan, Eren, Maksim, Vu, Minh, Grantcharov, Vesselin, Boureima, Ismael, Stanev, Valentin, Matuszek, Cynthia, Valtchinov, Vladimir, Rasmussen, Kim, Alexandrov, Boian
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating external document retrieval to provide domain-specific or up-to-date knowledge. The effectiveness of RAG depends on the relevance of retrieved documents, which
Externí odkaz:
http://arxiv.org/abs/2412.04661
Autor:
Kesgin, H. Toprak, Yuce, M. Kaan, Dogan, Eren, Uzun, M. Egemen, Uz, Atahan, Ince, Elif, Erdem, Yusuf, Shbib, Osama, Zeer, Ahmed, Amasyali, M. Fatih
Publikováno v:
2024 Innovations in Intelligent Systems and Applications Conference (ASYU) published in IEEE Xplore
In this study, we develop and assess new corpus selection and training methodologies to improve the effectiveness of Turkish language models. Specifically, we adapted Large Language Model generated datasets and translated English datasets into Turkis
Externí odkaz:
http://arxiv.org/abs/2412.02775
Autor:
Zeer, Ahmed, Dogan, Eren, Erdem, Yusuf, Ince, Elif, Shbib, Osama, Uzun, M. Egemen, Uz, Atahan, Yuce, M. Kaan, Kesgin, H. Toprak, Amasyali, M. Fatih
In this study, a Turkish visual instruction model was developed and various model architectures and dataset combinations were analysed to improve the performance of this model. The Cosmos-LLaVA model, which is built by combining different large langu
Externí odkaz:
http://arxiv.org/abs/2412.02760
Autor:
Eren, Mehmet Arda, Oztop, Erhan
In self-supervised robot learning, robots actively explore their environments and generate data by acting on entities in the environment. Therefore, an exploration policy is desired that ensures sample efficiency to minimize robot execution costs whi
Externí odkaz:
http://arxiv.org/abs/2412.02331