Zobrazeno 1 - 10
of 5 876
pro vyhledávání: '"A. Çavuşoğlu"'
Recent advancements in Natural Language Processing (NLP) have impacted numerous sub-fields such as natural language generation, natural language inference, question answering, and more. However, in the field of question generation, the creation of di
Externí odkaz:
http://arxiv.org/abs/2409.18263
We present a new perturbative/non-perturbative (P/NP) relation that applies to a broader class of genus-1 potentials, including those that possess real and complex instantons parametrized by a deformation parameter, such as polynomial and elliptic po
Externí odkaz:
http://arxiv.org/abs/2408.02628
This paper introduces a multi-level, multi-label text classification dataset comprising over 3000 documents. The dataset features literary and critical texts from 19th-century Ottoman Turkish and Russian. It is the first study to apply large language
Externí odkaz:
http://arxiv.org/abs/2407.15136
Autor:
Eryuksel, Ogulcan, Ozfuttu, Kamil Anil, Akyon, Fatih Cagatay, Sahin, Kadir, Buyukborekci, Efe, Cavusoglu, Devrim, Altinuc, Sinan
Drone detection is a challenging object detection task where visibility conditions and quality of the images may be unfavorable, and detections might become difficult due to complex backgrounds, small visible objects, and hard to distinguish objects.
Externí odkaz:
http://arxiv.org/abs/2407.00830
We introduce FinTral, a suite of state-of-the-art multimodal large language models (LLMs) built upon the Mistral-7b model and tailored for financial analysis. FinTral integrates textual, numerical, tabular, and image data. We enhance FinTral with dom
Externí odkaz:
http://arxiv.org/abs/2402.10986
Publikováno v:
Phys. Rev. D 110 (2024) 12, 125001
We study a parametric deformation of the unified genus-1 anharmonic potential and derive a parametric form of perturbative/nonperturbative (P/NP) relation, applicable across all parameter values. We explicitly demonstrate that the perturbative expans
Externí odkaz:
http://arxiv.org/abs/2311.17850
Evaluation plays a critical role in deep learning as a fundamental block of any prediction-based system. However, the vast number of Natural Language Processing (NLP) tasks and the development of various metrics have led to challenges in evaluating d
Externí odkaz:
http://arxiv.org/abs/2310.02040
Publikováno v:
Namık Kemal Tıp Dergisi, Vol 12, Iss 3, Pp 176-181 (2024)
Aim: Various prognostic risk-scoring systems and parameters have been investigated to predict mortality in patients with coronavirus disease-2019 (COVID-19). In this study, we aimed to evaluate the neutrophil/lymphocyte ratio (NLR) and prognostic nut
Externí odkaz:
https://doaj.org/article/922e1949318e4c9b8cf9fcd71aaf4d48
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Trifloxystrobin (TFS) is a widely used strobilurin class fungicide. Ginkgo biloba L. has gained popularity due to its recognized medicinal and antioxidant properties. The aim of this study was to determine whether Ginkgo biloba L. extract (G
Externí odkaz:
https://doaj.org/article/ff95ae04872042268a7e028a9baea2a7
Autor:
Çavuşoğlu, Dilek a, ⁎, Çavuşoğlu, Kürşat b
Publikováno v:
In South African Journal of Botany December 2024 175:744-754