Zobrazeno 1 - 10
of 672
pro vyhledávání: '"Amir, Mosavi"'
Autor:
Shahab S. Band, Sultan Noman Qasem, Rasoul Ameri, Hao-Ting Pai, Brij B. Gupta, Saeid Mehdizadeh, Amir Mosavi
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 613-625 (2024)
Solar energy is one of the renewable and clean energy sources. Accurate solar radiation (SR) estimates are therefore needed in solar energy applications. Firstly, two deep learning models, including gated recurrent unit (GRU) and long short-term memo
Externí odkaz:
https://doaj.org/article/2ea6dbc20cfe4d13942d4dac4840641f
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 15837-15856 (2024)
A Mixture of factor analyzer (MFA) model is a powerful tool to reduce the number of free parameters in high-dimensional data through the factor-analyzer technique based on the covariance matrices. This model also prepares an efficient methodology to
Externí odkaz:
https://doaj.org/article/a6b1a385328f498b81f69fb68856a547
Autor:
Mohammad Amin Rezaei, Arman Fathollahi, Ehsan Akbari, Mojtaba Saki, Erfan Khorgami, Ali Reza Teimouri, Anthony Theodore Chronopoulos, Amir Mosavi
Publikováno v:
IEEE Access, Vol 12, Pp 13146-13164 (2024)
Capacitor banks (CBs) play a crucial role in energy storage and frequency control within autonomous microgrids. However, the impact of internal capacitor configurations, varying in terms of equivalent series resistance (ESR), capacitance, and rated v
Externí odkaz:
https://doaj.org/article/cfe07dfbb24e4e5b8b0ab5e765192ac5
Publikováno v:
IEEE Access, Vol 12, Pp 2445-2457 (2024)
This research introduces a compartmental model designed to address the critical challenge of cost-effective pandemic modeling and analysis. The proposed framework extends the Susceptible, Exposed, Infectious, and Recovered (SEIR) model by incorporati
Externí odkaz:
https://doaj.org/article/ce892494650343e58101a9087e781852
The building energy (BE) management has an essential role in urban sustainability and smart cities. Recently, the novel data science and data-driven technologies have shown significant progress in analyzing the energy consumption and energy demand da
Externí odkaz:
http://arxiv.org/abs/2202.12269
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 2253-2268 (2023)
The fast advancement of technology and developers’ utilization of data centers have dramatically increased energy usage in today’s society. Thermal control is a key issue in hyper-scale cloud data centers. Hotspots form when the temperature of th
Externí odkaz:
https://doaj.org/article/05009720d9c54f19b2e1fdb2da26a0b5
Autor:
Ali Ahmed, Muhammad Faisal Nadeem, Arooj Tariq Kiani, Nasim Ullah, Muhammad Adnan Khan, Amir Mosavi
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 1549-1560 (2023)
Distributed Generation (DG) studies are generally conducted considering a single type of DG units integrated with the Distribution System (DS). However, these studies may not evaluate optimum benefits offered by the DG integration. This paper present
Externí odkaz:
https://doaj.org/article/229799329b7546a4a109368646be1cca
Publikováno v:
بومشناسی جنگلهای ایران, Vol 11, Iss 21, Pp 75-87 (2023)
Extended Abstract Introduction and Objective: The occurrence of fires is one of the important factors that determine the different characteristics of many terrestrial ecosystems. For a long time, fires have severely affected forest areas, and sometim
Externí odkaz:
https://doaj.org/article/37b5bce8972844f9a8f2b6171213c4fd
Autor:
Shamim Yousefi, Samad Najjar-Ghabel, Ramin Danehchin, Shahab S. Band, Chung-Chian Hsu, Amir Mosavi
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 2, Pp 101944- (2024)
Machine learning contributes in improving the accuracy of melanoma detection. There are extensive studies in classic and deep learning-based approaches for melanoma detection in the literature. Still, they are not accurate or require high learning da
Externí odkaz:
https://doaj.org/article/eb4e4fcb06eb4132ab912b398524164d
Autor:
Zsombor Zrubka, Gábor Kertész, László Gulácsi, János Czere, Áron Hölgyesi, Hossein Motahari Nezhad, Amir Mosavi, Levente Kovács, Atul J Butte, Márta Péntek
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e47430 (2024)
BackgroundDiabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the transparency, replicability, biasedness, and overall validity of artificial intel
Externí odkaz:
https://doaj.org/article/2059d7f9b6094306a14390b1f893a9e2