Zobrazeno 1 - 10
of 6 878
pro vyhledávání: '"Turker A."'
Autor:
Donmez, Turker Berk
In democratic societies, electoral systems play a crucial role in translating public preferences into political representation. Among these, the D'Hondt method is widely used to ensure proportional representation, balancing fair representation with g
Externí odkaz:
http://arxiv.org/abs/2411.05196
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:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The most cost-effective data collection method is electroencephalography (EEG), which obtains meaningful information about the brain. Therefore, EEG signal processing is crucial for neuroscience and machine learning (ML). Therefore, a new EE
Externí odkaz:
https://doaj.org/article/f45d2afdabca418da0f31a8b779c773f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract The most cost-effective data collection method is electroencephalography (EEG) to obtain meaningful information about the brain. Therefore, EEG signal processing is very important for neuroscience and machine learning (ML). The primary objec
Externí odkaz:
https://doaj.org/article/52a05596f2cf47f5bbc15187f2e46f4f
Autor:
Seher Aydın, Yavuz Ergün, Salma Ghazy, Asuman Çelebi, Turker Kilic, Timuçin Avşar, Serdar Durdağı
Publikováno v:
ACS Omega, Vol 9, Iss 44, Pp 44262-44281 (2024)
Externí odkaz:
https://doaj.org/article/c6f1a1c015fe4736b95a0fe9e3449c86
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 460-470 (2024)
Electrocardiography (ECG) signals are often referred to as the language of the heart and have been widely utilized for diagnosing various heart ailments, particularly arrhythmias. Consequently, numerous machine learning models have been employed to a
Externí odkaz:
https://doaj.org/article/f1f024fbb2614a1485cfe09b2109b4ff