Zobrazeno 1 - 10
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pro vyhledávání: '"A Karagoz"'
This paper presents Key2Mesh, a model that takes a set of 2D human pose keypoints as input and estimates the corresponding body mesh. Since this process does not involve any visual (i.e. RGB image) data, the model can be trained on large-scale motion
Externí odkaz:
http://arxiv.org/abs/2404.07094
The rapid spread of misinformation through social media platforms has raised concerns regarding its impact on public opinion. While misinformation is prevalent in other languages, the majority of research in this field has concentrated on the English
Externí odkaz:
http://arxiv.org/abs/2403.00411
Autor:
Cekinel, Recep Firat, Karagoz, Pinar
The rapid dissemination of misinformation through social media increased the importance of automated fact-checking. Furthermore, studies on what deep neural models pay attention to when making predictions have increased in recent years. While signifi
Externí odkaz:
http://arxiv.org/abs/2402.06443
Detecting events by using social media has been an active research problem. In this work, we investigate and compare the performance of two methods for event detection in Twitter by using Apache Storm as the stream processing infrastructure. The firs
Externí odkaz:
http://arxiv.org/abs/2311.07586
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract In this study, the effects of nanoparticle addition to internal combustion engines were investigated. Firstly, engine coolant was prepared by mixing nanoparticles with water in different ratios (0%, 0.15%, 0.3%, 0.5% and 0.6%). Nanoparticles
Externí odkaz:
https://doaj.org/article/b57072345f224dfbb4a2e0086d2303d5
Diffusion models are generative models that have shown significant advantages compared to other generative models in terms of higher generation quality and more stable training. However, the computational need for training diffusion models is conside
Externí odkaz:
http://arxiv.org/abs/2307.01924
Autor:
Soong, David, Sridhar, Sriram, Si, Han, Wagner, Jan-Samuel, Sá, Ana Caroline Costa, Yu, Christina Y, Karagoz, Kubra, Guan, Meijian, Hamadeh, Hisham, Higgs, Brandon W
Publikováno v:
PLOS Digit Health, 3(8) , 2024
Large language models (LLMs) have made significant advancements in natural language processing (NLP). Broad corpora capture diverse patterns but can introduce irrelevance, while focused corpora enhance reliability by reducing misleading information.
Externí odkaz:
http://arxiv.org/abs/2305.17116
We perform extensive spectroscopy of the supernova remnant N63A in the Large Magellanic Cloud, using $\sim 43$ ks {\it Chandra} archival data. By analysing the spectra of the entire remnant, we determine the abundance distributions for O, Ne, Mg, Si,
Externí odkaz:
http://arxiv.org/abs/2305.03084
The problem of text-guided image generation is a complex task in Computer Vision, with various applications, including creating visually appealing artwork and realistic product images. One popular solution widely used for this task is the diffusion m
Externí odkaz:
http://arxiv.org/abs/2304.00520
Autor:
Selman Karagoz
Publikováno v:
Pollutants, Vol 4, Iss 3, Pp 324-339 (2024)
End-of-life vehicle (ELV) forecasting constitutes a crucial aspect of sustainable waste management and resource allocation strategies. While the existing literature predominantly employs time-series forecasting and machine learning methodologies, a d
Externí odkaz:
https://doaj.org/article/9a076ee2adaa42d0ae7d8e900ab48d06