Zobrazeno 1 - 10
of 2 069
pro vyhledávání: '"Rabiei P"'
Autor:
Memari, Mohammadali, Nejad, Soghra Mikaeyl, Rabiei, Amir Parsa, Eisaei, Mehrshad, Hesaraki, Saba
Multidomain sentiment analysis involves estimating the polarity of an unstructured text by exploiting domain specific information. One of the main issues common to the approaches discussed in the literature is their poor applicability to domains that
Externí odkaz:
http://arxiv.org/abs/2412.05591
This work considers the problem of transfer learning in the context of reinforcement learning. Specifically, we consider training a policy in a reduced order system and deploying it in the full state system. The motivation for this training strategy
Externí odkaz:
http://arxiv.org/abs/2410.06828
The main objective of this research is to identify and classify the opinions of Persian-speaking Twitter users related to drought crises in Iran and subsequently develop a model for detecting these opinions on the platform. To achieve this, a model h
Externí odkaz:
http://arxiv.org/abs/2409.07611
One fundamental task for NLP is to determine the similarity between two texts and evaluate the extent of their likeness. The previous methods for the Persian language have low accuracy and are unable to comprehend the structure and meaning of texts e
Externí odkaz:
http://arxiv.org/abs/2407.19173
The advent of location-based services has led to the widespread adoption of indoor localization systems, which enable location tracking of individuals within enclosed spaces such as buildings. While these systems provide numerous benefits such as imp
Externí odkaz:
http://arxiv.org/abs/2404.07366
Introduction: Part-of-Speech (POS) Tagging, the process of classifying words into their respective parts of speech (e.g., verb or noun), is essential in various natural language processing applications. POS tagging is a crucial preprocessing task for
Externí odkaz:
http://arxiv.org/abs/2310.00572
Autor:
Seyedeh Zahra Hamedi, Hassan Emami, Maryam Khayamzadeh, Reza Rabiei, Mehrad Aria, Majid Akrami, Vahid Zangouri
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Breast cancer is one of the most prevalent cancers with an increasing trend in both incidence and mortality rates in Iran. Survival analysis is a pivotal measure in setting appropriate care plans. To the best of our knowledge, this study is
Externí odkaz:
https://doaj.org/article/aca6652bb2304c26b77d2e6964571824
Publikováno v:
Clinical Nutrition Open Science, Vol 58, Iss , Pp 348-360 (2024)
Summary: Background: COVID-19 is a newly emerging pathogen responsible for respiratory infections and has caused high morbidity and mortality globally. To date, there is no effective treatment protocol for this virus. Objectives: The current study ha
Externí odkaz:
https://doaj.org/article/3d2b90d5962e446295252dd57f79fd3f
Autor:
Mohammad Samami, Farahnaz Joukar, Soheil Hassanipour, Maryam Rabiei, Amir Valaei-Barhagh, Masoome Darizin, Mohammadreza Naghipour, Fariborz Mansour-Ghanaei
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background This study investigated the association between hypertension and oral health status, as measured by the Decayed, Missing, and Filled Teeth (DMFT) index, using data from the PERSIAN Guilan Cohort Study (PGCS). Methods A cross-secti
Externí odkaz:
https://doaj.org/article/fabf9ad7b3d84128ab3cd688d6709c6e
Autor:
Baran Rahmati, Hamidreza Rabiei-Dastjerdi, Simon Elias Bibri, Mohammad Ali Aghajani, Maryam Kazemi
Publikováno v:
Computational Urban Science, Vol 4, Iss 1, Pp 1-32 (2024)
Abstract This study explores the complex interconnections among global population growth, energy consumption, CO2 production, and disparities in service access through the lens of a single case study. Rapid population growth in many major cities has
Externí odkaz:
https://doaj.org/article/df2ca09d0e8c4ff596cd127077a87f0b