Zobrazeno 1 - 10
of 70 623
pro vyhledávání: '"A, Yasin"'
In the rapidly evolving field of data science, efficiently navigating the expansive body of academic literature is crucial for informed decision-making and innovation. This paper presents an enhanced Retrieval-Augmented Generation (RAG) application,
Externí odkaz:
http://arxiv.org/abs/2412.15404
Autor:
Baraeinejad, Bardia, Forouzesh, Maryam, Babaei, Saba, Naghshbandi, Yasin, Torabi, Yasaman, Fazliani, Shabnam
In the last few decades, several wearable devices have been designed to monitor respiration rate in an effort to capture pulmonary signals with higher accuracy and reduce patients' discomfort during use. In this article, we present the design and imp
Externí odkaz:
http://arxiv.org/abs/2412.05405
The magnetic buoyancy (MBI) and Parker instabilities are strong and generic instabilities expected to occur in most astrophysical systems with sufficiently strong magnetic fields. In galactic and accretion discs, large-scale magnetic fields are thoug
Externí odkaz:
http://arxiv.org/abs/2412.05086
Selection bias poses a critical challenge for fairness in machine learning, as models trained on data that is less representative of the population might exhibit undesirable behavior for underrepresented profiles. Semi-supervised learning strategies
Externí odkaz:
http://arxiv.org/abs/2411.18442
CQA services are valuable sources of knowledge that can be used to find answers to users' information needs. In these services, question retrieval aims to help users with their information needs by finding similar questions to theirs. However, findin
Externí odkaz:
http://arxiv.org/abs/2411.15530
Social media discourse involves people from different backgrounds, beliefs, and motives. Thus, often such discourse can devolve into toxic interactions. Generative Models, such as Llama and ChatGPT, have recently exploded in popularity due to their c
Externí odkaz:
http://arxiv.org/abs/2411.13008
Autor:
Abdulkadir, Yasin, Hink, Justin, Boyle, Peter, Luximon, Dishane, Pijanowski, Justin, Ritter, Timothy, Curran, Bruce, Leu, Min, Nickols, Nicholas, Lee, Steve P., Palta, Jatinder R., Kelly, Maria, Kapoor, Rishabh, Thompson, Reid, Low, Daniel A., Lamb, James M., Neylon, Jack
Aggregating large-scale radiotherapy planning and delivery data is crucial for advancing radiation oncology research and improving clinical practice, yet challenges persist due to the diversity of treatment planning systems (TPS), record and verify (
Externí odkaz:
http://arxiv.org/abs/2411.08876
Autor:
Yasin, Alhassan S., Gill, Prabdeep S.
The inherent volatility and dynamic fluctuations within the financial stock market underscore the necessity for investors to employ a comprehensive and reliable approach that integrates risk management strategies, market trends, and the movement tren
Externí odkaz:
http://arxiv.org/abs/2411.07585
In this paper, we introduce and prove QR Sort, a novel non-comparative integer sorting algorithm. This algorithm uses principles derived from the Quotient-Remainder Theorem and Counting Sort subroutines to sort input sequences stably. QR Sort exhibit
Externí odkaz:
http://arxiv.org/abs/2411.07526
Autor:
Rezabeyk, Elmira Mousa, Beigzad, Salar, Hamzavi, Yasin, Bagheritabar, Mohsen, Mirikhoozani, Seyedeh Sogol
Publikováno v:
International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA-2024)
Deep learning methods have established a significant place in image classification. While prior research has focused on enhancing final outcomes, the opaque nature of the decision-making process in these models remains a concern for experts. Addition
Externí odkaz:
http://arxiv.org/abs/2411.05858