Zobrazeno 1 - 10
of 10 834
pro vyhledávání: '"Turker A"'
Publikováno v:
Fractal and Fractional, Vol 8, Iss 2, p 117 (2024)
Green bonds represent a compelling financial innovation that presents a financial perspective solution to address climate change and promote sustainable development. On the other hand, the recent process of financialisation of commodities disrupts th
Externí odkaz:
https://doaj.org/article/8a69e32de29b41e4a6aef6a60468d85c
Publikováno v:
Journal of Dental Sciences, Vol 13, Iss 4, Pp 293-300 (2018)
Background/purpose: Air-particle abrasion process used to increase surface roughness in order to increase metal-ceramic bond strength varies in each study. This study aims to optimize the air-particle abrasion protocol. Material and methods: 820 cyli
Externí odkaz:
https://doaj.org/article/fdf4479ae5374d64babe31a132efd7b2
We present VBART, the first Turkish sequence-to-sequence Large Language Models (LLMs) pre-trained on a large corpus from scratch. VBART are compact LLMs based on good ideas leveraged from BART and mBART models and come in two sizes, Large and XLarge.
Externí odkaz:
http://arxiv.org/abs/2403.01308
In this work, we present VNLP: the first dedicated, complete, open-source, well-documented, lightweight, production-ready, state-of-the-art Natural Language Processing (NLP) package for the Turkish language. It contains a wide variety of tools, rangi
Externí odkaz:
http://arxiv.org/abs/2403.01309
Autor:
Alturan, Baha, Turker, Ilker
Earthquakes are evaluated among the most destructive disasters for human beings, as also experienced for Turkiye region. Data science has the property of discovering hidden patterns in case a sufficient volume of data is supplied. Time dependency of
Externí odkaz:
http://arxiv.org/abs/2312.16158
Autor:
Kiranyaz, Serkan, Devecioglu, Ozer Can, Alhams, Amir, Sassi, Sadok, Ince, Turker, Avci, Onur, Gabbouj, Moncef
Robust and real-time detection of faults on rotating machinery has become an ultimate objective for predictive maintenance in various industries. Vibration-based Deep Learning (DL) methodologies have become the de facto standard for bearing fault det
Externí odkaz:
http://arxiv.org/abs/2312.10742
Autor:
Tuncer, Turker, Dogan, Sengul, Baygin, Mehmet, Barua, Prabal Datta, Hafeez-Baig, Abdul, Tan, Ru-San, Chakraborty, Subrata, Acharya, U. Rajendra
The generative pre-trained transformer (GPT)-based chatbot software ChatGPT possesses excellent natural language processing capabilities but is inadequate for solving arithmetic problems, especially multiplication. Its GPT structure uses a computatio
Externí odkaz:
http://arxiv.org/abs/2310.13016
Publikováno v:
Innovation & Management Review, 2023, Vol. 21, Issue 3, pp. 168-181.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/INMR-06-2022-0081
Autor:
Moradi, Afshin, Tokan, Nurhan Turker
Screened plasmon properties of graphene near a perfect electric conductor are investigated using classical electrodynamics and a linearized hydrodynamic model that includes Fermi correction. A general expression for the dispersion relation of the men
Externí odkaz:
http://arxiv.org/abs/2308.02691
Autor:
Devecioglu, Ozer Can, Kiranyaz, Serkan, Elhmes, Amer, Sassi, Sadok, Ince, Turker, Avci, Onur, Soleimani-Babakamali, Mohammad Hesam, Taciroglu, Ertugrul, Gabbouj, Moncef
Automatic sensor-based detection of motor failures such as bearing faults is crucial for predictive maintenance in various industries. Numerous methodologies have been developed over the years to detect bearing faults. Despite the appearance of numer
Externí odkaz:
http://arxiv.org/abs/2305.07960