Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Farid Ghareh Mohammadi"'
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3553 (2022)
Feature selection is an essential step of preprocessing in Machine Learning (ML) algorithms that can significantly impact the performance of ML models. It is considered one of the most crucial phases of automated ML (AutoML). Feature selection aims t
Externí odkaz:
https://doaj.org/article/c2c6b04308d04bcbb8b1181ce8efd551
Autor:
Farid Ghareh Mohammadi, Ronnie Sebro
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Patients with low bone mineral density (BMD) are at risk for fractures however are often undiagnosed. Therefore, there is a need to opportunistically screen for low BMD in patients who present for other studies. This is a retrospective study of 812 p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aa518e36f303800ad8e7933a2ab6bc4
https://doi.org/10.3233/shti230306
https://doi.org/10.3233/shti230306
Publikováno v:
Cyberphysical Smart Cities Infrastructures. :29-45
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dce216baf603efe85547dff394d27f8
https://doi.org/10.1002/9781119748342.ch3
https://doi.org/10.1002/9781119748342.ch3
Autor:
Brian L. Boland, Walter S. Monfort, Kyle Johnsen, Farid Ghareh Mohammadi, Zion Tsz Ho Tse, Zhuo Zhao, Donald J. Leo
Publikováno v:
Transactions of the ASABE. 63:339-344
HighlightsOptimal harvest date is important to improve the yield and quality of peanut.Peanut mesocarp color is one of the most popular methods for determining the optimal harvest date.This article presents a smartphone-based system for determining o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbc7c800b6f813c2e33d7dc7078a2024
https://doi.org/10.13031/trans.13579
https://doi.org/10.13031/trans.13579
Publikováno v:
2021 International Conference on Computational Science and Computational Intelligence (CSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bf986da20bd2f3806e446e72a3249e9
https://doi.org/10.1109/csci54926.2021.00295
https://doi.org/10.1109/csci54926.2021.00295
Machine learning techniques lend themselves as promising decision-making and analytic tools in a wide range of applications. Different ML algorithms have various hyper-parameters. In order to tailor an ML model towards a specific application, a large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7c08e72a496bb512fc435de01b8fcc7
http://arxiv.org/abs/2109.05319
http://arxiv.org/abs/2109.05319
A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using cloud technologies in order to communicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f5285162eb4cabe7606aa8de242e0b4
https://doi.org/10.36227/techrxiv.16370823
https://doi.org/10.36227/techrxiv.16370823
Autor:
Hamid R. Arabnia, Krys J. Kochut, Gong Cheng, Qingxia Liu, Seyedamin Pouriyeh, Maurizio Atzori, Mehdi Allahyari, Farid Ghareh Mohammadi
Publikováno v:
International Journal of Semantic Computing. 13:259-283
Ontologies have been widely used in numerous and varied applications, e.g. to support data modeling, information integration, and knowledge management. With the increasing size of ontologies, ontology understanding, which is playing an important role
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3e5e52095de7ecf85b648088d924c5e
https://doi.org/10.1142/s1793351x19300012
https://doi.org/10.1142/s1793351x19300012
Autor:
KHANDAKER MAMUN AHMED, Farid Ghareh Mohammadi, Manuel Matus, Farzan Shenavarmasouleh, Luiz Manella Pereira, Ioannis Zisis, M. Hadi Amini
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::773bf3ed233798ce57e19b17cd60db6a
https://doi.org/10.2139/ssrn.3994191
https://doi.org/10.2139/ssrn.3994191
Autor:
Prasanth Sengadu Suresh, Farzan Shenavarmasouleh, Ehsan Asali, Farid Ghareh Mohammadi, Hamid R. Arabnia
Publikováno v:
Advances in Computer Vision and Computational Biology ISBN: 9783030710507
For recognizing speakers in video streams, significant research studies have been made to obtain a rich machine learning model by extracting high-level speaker’s features such as facial expression, emotion, and gender. However, generating such a mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::567ccad71f3a5bcc853191a6eac38fdf
https://doi.org/10.1007/978-3-030-71051-4_3
https://doi.org/10.1007/978-3-030-71051-4_3