Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Gholamhosseini P"'
Publikováno v:
Aquaculture Reports, Vol 39, Iss , Pp 102521- (2024)
The increase in the global population has led to a rise in the manufacturing and utilization of plastic products. Finally, the amount of plastic waste present in the environment has increased. With the increase in plastic waste and its conversion int
Externí odkaz:
https://doaj.org/article/5df9cd0864684975a7afc29226836108
Autor:
Fatemeh Moghbeli, Masood Setoodefar, Mohammad Reza Mazaheri Habibi, Zohreh Abbaszadeh, Hanieh Keikhay Moghadam, Sajedeh Salari, Leila Gholamhosseini, Meysam Fallahnezhad, Seyed Ali Fatemi Aghda
Publikováno v:
Reproductive Health, Vol 21, Iss 1, Pp 1-10 (2024)
Abstract Background One of the reasons for the increase in cesarean section is the lack of knowledge of mothers in choosing the type of delivery. The present study aimed to determine the effect of education through pregnancy application during pregna
Externí odkaz:
https://doaj.org/article/fcc8c1c1766f4cf7a272c8e6e8dcb9db
Ant diversity and species assemblages along an elevational gradient in the arid area of Central Iran
Autor:
Maryam Hajian, Saber Sadeghi, Zohreh Eslami Barzoki, Majid Moradmand, Ali Gholamhosseini, Mehregan Ebrahimi
Publikováno v:
Journal of Insect Biodiversity and Systematics, Vol 10, Iss 1, Pp 143-159 (2024)
Ants (Hym., Formicidae) have been recognized as vital components of arid ecosystems. Determining the diversity patterns of ants and the ecological factors behind these patterns is expected to improve our understanding of the functioning of arid ecosy
Externí odkaz:
https://doaj.org/article/9e8c694134a64c65bff237088733f121
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 10899 (2024)
The main aim of this study is to investigate the opportunities, challenges, and barriers in implementing generative artificial intelligence (Gen AI) in personalized patient care plans (PPCPs). This systematic review paper provides a comprehensive ana
Externí odkaz:
https://doaj.org/article/803cbb40ef4546d798ca99a40661db09
Autor:
Bryan Gonzalez, Gonzalo Garcia, Sergio A. Velastin, Hamid GholamHosseini, Lino Tejeda, Gonzalo Farias
Publikováno v:
Sensors, Vol 24, Iss 23, p 7660 (2024)
The work aims to leverage computer vision and artificial intelligence technologies to quantify key components in food distribution services. Specifically, it focuses on dish counting, content identification, and portion size estimation in a dining ha
Externí odkaz:
https://doaj.org/article/d5e4cd1d9dd24768835be38b9ec68af4
Publikováno v:
Neural Computing & Applications 32 (2020) pp.1777-1788
Melanoma is the most dangerous form of skin cancer, which is responsible for the majority of skin cancer-related deaths. Early diagnosis of melanoma can significantly reduce mortality rates and treatment costs. Therefore, skin cancer specialists are
Externí odkaz:
http://arxiv.org/abs/2112.05322
Publikováno v:
Ecology and Evolution, Vol 14, Iss 7, Pp n/a-n/a (2024)
Abstract Freshwater fishes are facing considerable threats in the Arabian Peninsula which is considered as a highly stressed region in the Middle East. It is predicted that northern Oman is likely to face decreasing rainfall and increasing temperatur
Externí odkaz:
https://doaj.org/article/1dcdf760f3904676a28178b5397068c6
Publikováno v:
A system on chip for melanoma detection using FPGA-based SVM classifier, Microprocessors and Microsystems 65(2019) pp.57-68
Support Vector Machine (SVM) is a robust machine learning model that shows high accuracy with different classification problems, and is widely used for various embedded applications. However , implementation of embedded SVM classifiers is challenging
Externí odkaz:
http://arxiv.org/abs/2109.14840
Publikováno v:
Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2017). Jeju, Korea (South), IEEE Computer Society Press, pp.270-274
Support Vector Machine (SVM) is a common classifier used for efficient classification with high accuracy. SVM shows high accuracy for classifying melanoma (skin cancer) clinical images within computer-aided diagnosis systems used by skin cancer speci
Externí odkaz:
http://arxiv.org/abs/2108.11957
Autor:
Shariatmadar, M. a, Gholamhosseini, P. a, Abdorrezaee, Z. a, Ghorbanzadeh, S. a, Feizollahi, S. a, Hosseini, F.S. a, Shahraki, F. Azad b, Mahdavian, M. a, ⁎
Publikováno v:
In Surface & Coatings Technology 15 March 2024 479