Zobrazeno 1 - 10
of 336
pro vyhledávání: '"MohammadJafari A"'
Since the onset of LLMs, translating natural language queries to structured SQL commands is assuming increasing. Unlike the previous reviews, this survey provides a comprehensive study of the evolution of LLM-based text-to-SQL systems, from early rul
Externí odkaz:
http://arxiv.org/abs/2410.01066
Autor:
Mohammadjafari, Ali, Khajouie, Poorya
Efficient task scheduling in heterogeneous computing environments is imperative for optimizing resource utilization and minimizing task completion times. In this study, we conducted a comprehensive benchmarking analysis to evaluate the performance of
Externí odkaz:
http://arxiv.org/abs/2405.08187
Autor:
Mohammadjafari, Ali
Prediction of stock prices has been a crucial and challenging task, especially in the case of highly volatile digital currencies such as Bitcoin. This research examineS the potential of using neural network models, namely LSTMs and GRUs, to forecast
Externí odkaz:
http://arxiv.org/abs/2405.08089
In today's construction industry, poor performance often arises due to various factors related to time, finances, and quality. These factors frequently lead to project delays and resource losses, particularly in terms of financial resources. This res
Externí odkaz:
http://arxiv.org/abs/2401.12388
Generative Adversarial Networks (GANs) have gained significant attention in several computer vision tasks for generating high-quality synthetic data. Various medical applications including diagnostic imaging and radiation therapy can benefit greatly
Externí odkaz:
http://arxiv.org/abs/2207.11223
Publikováno v:
Iranian Journal of Psychiatry, Vol 19, Iss 4 (2024)
Objective: This research aims to evaluate patterns of prescription of medications used to manage acute agitation in adult Iranian patients at the emergency department (ED) of Roozbeh Psychiatric Hospital in Tehran. Method: The study analyzed data
Externí odkaz:
https://doaj.org/article/b0c94ab0308344578008c7e8625bbe83
Autor:
Kermani, Fahimeh Ranjbar, Kafi-Abad, Sedigheh Amini, Maghsudlu, Mahtab, Hosseini, Kamran Mousavi, Mohammadali, Fatemeh, MohammadJafari, Atefeh
Publikováno v:
In Hematology, Transfusion and Cell Therapy December 2024 46 Supplement 6:S299-S305
Generative adversarial networks (GANs) are one of the most widely used generative models. GANs can learn complex multi-modal distributions, and generate real-like samples. Despite the major success of GANs in generating synthetic data, they might suf
Externí odkaz:
http://arxiv.org/abs/2109.02117
Autor:
Faeghe Baryar Langroudi, Hamid Mohammadjafari, Hani Rostami Rad, Mohaddeseh Momeni, Maedeh Guran, Mohammad Reza Navaeifar
Publikováno v:
Journal of Pediatrics Review, Vol 11, Iss 4, Pp 363-372 (2023)
Background: Acute kidney injury stands out as one of the common complications in the pediatric intensive care unit. Objectives: This study was designed to evaluate acute kidney injury’s frequency, etiologies, and its course in critically ill childr
Externí odkaz:
https://doaj.org/article/a6bdab6fd3b547f48a3743b8bbdcb026
Autor:
Reyhaneh Sadeh Tehrani, Hanieh Mohammadjafari, Sheida Alizadeh, Maryam Naseroleslami, Mohammad Hadi Karbalaie Niya
Publikováno v:
Health Science Reports, Vol 7, Iss 3, Pp n/a-n/a (2024)
Abstract Background and Aims Second to COVID‐19 pandemic, other viral respiratory infections are still important causes of human diseases or co‐infections. Hence, the present study was carried out to investigate the common respiratory viruses in
Externí odkaz:
https://doaj.org/article/42c0529839e14f1bb82d3bf2a4edefd9