Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Esmat Rashedi"'
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e37876- (2024)
Flyrock represents a significant and fundamental challenge in surface mine blasting, carrying inherent risks to humans and the environment. Consequently, accurate prediction, minimization, and identification of the factors influencing flyrock distanc
Externí odkaz:
https://doaj.org/article/677c82579354462fa2744c518908c335
Publikováno v:
Rudarsko-geološko-naftni Zbornik, Vol 39, Iss 2, Pp 1-14 (2024)
Fast and relatively accurate determination of the fragment size distribution of a muck-pile is still a challenge in mining operations and the existing measurement methods are inefficient. In this research, a new algorithm to determine fragment size d
Externí odkaz:
https://doaj.org/article/42497e01f5b2466388e38c292464f76c
Publikováno v:
PLoS ONE, Vol 17, Iss 3 (2022)
Genetics play a prominent role in the development and progression of malignant neoplasms. Identification of the relevant genes is a high-dimensional data processing problem. Pyramid gravitational search algorithm (PGSA), a hybrid method in which the
Externí odkaz:
https://doaj.org/article/a1388d844da247d5b018c50ad2fef9de
Autor:
Mehdi Bamorovat, Iraj Sharifi, Esmat Rashedi, Alireza Shafiian, Fatemeh Sharifi, Ahmad Khosravi, Amirhossein Tahmouresi
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0250904 (2021)
Cutaneous leishmaniasis (CL) imposes a major health burden throughout the tropical and subtropical regions of the globe. Unresponsive cases are common phenomena occurred upon exposure to the standard drugs. Therefore, rapid detection, prognosis and c
Externí odkaz:
https://doaj.org/article/98a69b1339fe47fa9b462f85c57f7660
Publikováno v:
مجله انفورماتیک سلامت و زیست پزشکی, Vol 4, Iss 2, Pp 142-153 (2017)
Introduction: Pattern recognition field is necessary for the recognition of different sensorimotor tasks in Brain Computer Interface systems. Reducing the number of features is an important step in Brain Computer Interface systems and it can improve
Externí odkaz:
https://doaj.org/article/884118c8c2784953a58dbe6ed244a334
Publikováno v:
Multimedia Tools and Applications. 79:13267-13289
The goal of license plate recognition (LPR) is to read the license plate characters. Due to image degradation, there are many difficulties in the way of achieving this goal. In this paper, the proposed method recognizes the license plate characters w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0341f6fee2cdb2e70c57f4f1084d9cec
https://doi.org/10.1007/s11042-019-08416-0
https://doi.org/10.1007/s11042-019-08416-0
Publikováno v:
PloS one. 17(3)
Genetics play a prominent role in the development and progression of malignant neoplasms. Identification of the relevant genes is a high-dimensional data processing problem. Pyramid gravitational search algorithm (PGSA), a hybrid method in which the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::935930c4786526b9571fd12bd3bbdaa9
https://pubmed.ncbi.nlm.nih.gov/35290401
https://pubmed.ncbi.nlm.nih.gov/35290401
Publikováno v:
ISH Journal of Hydraulic Engineering. 27:242-255
An effective method for optimal design of water distribution network (WDN) can significantly benefit to develop commercial software for component sizing. This research investigates Gravitat...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::149a149b76cdc7f1c5df7e367b4539b5
https://doi.org/10.1080/09715010.2019.1624630
https://doi.org/10.1080/09715010.2019.1624630
Publikováno v:
2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS).
Domain adaptation is a method of transfer learning. Domain adaptation has a source domain and target domain with related but different distributions. Unsupervised domain adaptation could be a scenario wherever we've labeled unlabeled target data and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::190acf7ab07adb9fbf49a1e6f77c8b05
https://doi.org/10.1109/cfis49607.2020.9238758
https://doi.org/10.1109/cfis49607.2020.9238758
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 43:171-189
This paper introduces a multimodal emotion recognition system based on two different modalities, i.e., affective speech and facial expression. For affective speech, the common low-level descriptors including prosodic and spectral audio features (i.e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::116f0e95ae37ff6f4807cde77a42614a
https://doi.org/10.1007/s40998-018-0142-9
https://doi.org/10.1007/s40998-018-0142-9