Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Roohallah, Alizadehsani"'
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 4, Pp 866-878 (2024)
Abstract Myocarditis is a significant public health concern because of its potential to cause heart failure and sudden death. The standard invasive diagnostic method, endomyocardial biopsy, is typically reserved for cases with severe complications, l
Externí odkaz:
https://doaj.org/article/43bc5b7381404e6a87e57c75baa8eeea
Autor:
Hamidreza Najafi, Kimia Savoji, Marzieh Mirzaeibonehkhater, Seyed Vahid Moravvej, Roohallah Alizadehsani, Siamak Pedrammehr
Publikováno v:
Diagnostics, Vol 14, Iss 22, p 2604 (2024)
Background: Lung cancer remains a significant health concern, and the effectiveness of early detection significantly enhances patient survival rates. Identifying lung tumors with high precision is a challenge due to the complex nature of tumor struct
Externí odkaz:
https://doaj.org/article/e579bc8efb9f49cc8c10f96173c20f18
Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval
Autor:
Mahmood Sotoodeh, Ali Kohan, Mohamad Roshanzamir, Senthil Kumar Jagatheesaperumal, Mohammad Reza Chalak Qazani, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Pawel Plawiak
Publikováno v:
IEEE Access, Vol 12, Pp 162432-162449 (2024)
In recent years, color Local Binary Pattern (LBP) based descriptors have garnered substantial attention in computer vision and image analysis. This study presents a comprehensive review of color LBP-based descriptors developed over the past decade, f
Externí odkaz:
https://doaj.org/article/6e74e70028f94fc89be97b93a6cfcce9
Autor:
Liu Yang, Jiang Guofan, Zhang Yixin, Wei Qianze, Zhang Jian, Roohallah Alizadehsani, Pawel Plawiak
Publikováno v:
IEEE Access, Vol 12, Pp 149502-149527 (2024)
Online social networks, especially Twitter (X), have become focal points for illicit activities, providing unique criminal investigation opportunities. This paper introduces an innovative methodology that uses social media sentiment analysis to predi
Externí odkaz:
https://doaj.org/article/00a76757a2ff456bbe402eff5bddc785
Autor:
Mahdieh Poodineh Moghadam, Zabih Allah Moghadam, Mohammad Reza Chalak Qazani, Pawel Plawiak, Roohallah Alizadehsani
Publikováno v:
IEEE Access, Vol 12, Pp 122557-122587 (2024)
Nurses are essential in managing the healthcare of older adults, particularly those over 65, who often face multiple chronic conditions. This group requires comprehensive physical, mental, and functional care. Recent advancements in artificial intell
Externí odkaz:
https://doaj.org/article/f9be84f8095b4fa8b762cc935a530db4
Autor:
Furqan Alam, Pawel Plawiak, Ahmed Almaghthawi, Mohammad Reza Chalak Qazani, Sanat Mohanty, and Roohallah Alizadehsani
Publikováno v:
IEEE Access, Vol 12, Pp 112232-112248 (2024)
Human Activity Recognition (HAR) is becoming increasingly important in the fast-evolving landscapes of wearable sensors, smart applications, and the Internet of Things (IoT) paradigms. HAR is rapidly gaining importance, especially in health monitorin
Externí odkaz:
https://doaj.org/article/8b2a53402aa643ab96491d6fe7b72863
Publikováno v:
IEEE Access, Vol 12, Pp 100559-100580 (2024)
Budget allocation across multiple advertising channels involves periodically dividing a fixed total budget among various channels. Yet, the challenge of making sequential decisions to optimize long-term benefits rather than short-term gains is often
Externí odkaz:
https://doaj.org/article/1ec14388d6f744dca8014130cf5d7606
Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis
Autor:
Ali Peivandizadeh, Sima Hatami, Amirhossein Nakhjavani, Lida Khoshsima, Mohammad Reza Chalak Qazani, Muhammad Haleem, Roohallah Alizadehsani
Publikováno v:
IEEE Access, Vol 12, Pp 87110-87130 (2024)
In an era dominated by digital communication, the vast amounts of data generated from social media and financial markets present unique opportunities and challenges for forecasting stock market prices. This paper proposes an innovative approach that
Externí odkaz:
https://doaj.org/article/b6bbde0e46c048668c188a591cd8381e
Autor:
Mohammad Reza Chalak Qazani, Navid Aslfattahi, Vladimir Kulish, Houshyar Asadi, Michal Schmirler, Muhammad Zakarya, Roohallah Alizadehsani, Muhammad Haleem, K. Kadirgama
Publikováno v:
IEEE Access, Vol 12, Pp 59049-59062 (2024)
Researchers are turning to nanofluids in PV/T hybrid systems for enhanced efficiency due to nanoparticle dispersion, improving thermal and optical properties over conventional fluids. Three different concentrations of formulated soybean oil based MXe
Externí odkaz:
https://doaj.org/article/eef13d34dd9d47b8aa0d92c903977b7f
Autor:
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, Senthil Kumar Jagatheesaperumal, Rene Ripardo Calixto, Mohamed Rahouti, Mohamad Roshanzamir, Victor Hugo C. De Albuquerque
Publikováno v:
IEEE Access, Vol 12, Pp 35796-35812 (2024)
The field of drug discovery has experienced a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML) technologies. However, as these AI and ML models are becoming more complex, there is a growing need for
Externí odkaz:
https://doaj.org/article/de644cb0264842849d44b639b61d6134