Zobrazeno 1 - 10 of 99 pro vyhledávání: '"Yaser Norouzi"'
1
Akademický článek
Automated Breast Tumor Detection and Segmentation Using the Threshold Density Algorithm with Logistic Regression on Microwave Images
Autor: Azhar Albaaj, Yaser Norouzi, Gholamreza Moradi
Publikováno v: Ingeniería, Vol 29, Iss 2, Pp e20677-e20677 (2024)
Context: Breast cancer remains a major health burden worldwide, necessitating improved screening modalities for early detection. However, existing techniques such as mammography and MRI exhibit limitations regarding sensitivity and specificity. Micro
Externí odkaz: https://doaj.org/article/0cf7a4036dbc48979ff0137c07acab9d
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2
Akademický článek
Alternating minimisation approach for direct position determination in passive localisation
Autor: Mohsen Sabeti, Yaser Norouzi
Publikováno v: IET Radar, Sonar & Navigation, Vol 17, Iss 7, Pp 1152-1159 (2023)
Abstract This article deals with the source localisation problem when the receiver is moving over time, and the sources are sparse across the area. In addition, only one of the sources is active at each time instant, means that the sources are pulse
Externí odkaz: https://doaj.org/article/587dc7701a9e4fce821159e0ad170a76
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5
A density-grid-based method for clustering k-dimensional data
Autor: Elham S. Kashani, Saeed Bagheri Shouraki, Yaser Norouzi, Bernard De Baets
Publikováno v: APPLIED INTELLIGENCE
In this paper, we propose a novel density-grid-based method for clustering k-dimensional data. KIDS, an acronym for K-dimensional Ink Drop Spread, detects densely-connected pieces of data in k-dimensional grids. It enables one to simultaneously explo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b255131e61e348266481dd894d4225d7
https://hdl.handle.net/1854/LU-01H39C4DNKZH861K163HCNGD9K
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6
Multi-Variate and Multi-dimensional CFAR Detection of Breast Cancer
Autor: Azhar Albaaj, Yaser Norouzi, Gholamreza Moradi
Breast cancer is the most common type of cancer in females. In many cases, the mortality rate can be drastically lowered if the disease is detected early. Due to its safety and lack of risk to the patient, microwave breast imaging is considered a pot
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce0719240a50c7519f29755cdb585950
https://doi.org/10.21203/rs.3.rs-2110232/v1
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9
Deep Learning-Based Approach for Low Probability of Intercept Radar Signal Detection and Classification
Autor: G. Ghadimi, Mohammad Mahdi Nayebi, Reza Bayderkhani, Seyyed Mohammad Karbasi, Yaser Norouzi
Publikováno v: Journal of Communications Technology and Electronics. 65:1179-1191
Detection and classification of Low Probability of Interception (LPI) radar signals is one of the most important challenges in electronic warfare (EW), since there are limited methods for identifying these type of signals. In this paper, a radar wave
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c3adec9be7fef81ad4743365b7a2c194
https://doi.org/10.1134/s1064226920100034
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10
A Review of Radio Frequency Fingerprinting Techniques
Autor: Yaser Norouzi, Nemai Chandra Karmakar, Naeimeh Soltanieh, Yang Yang
Publikováno v: IEEE Journal of Radio Frequency Identification. 4:222-233
Radio frequency (RF) fingerprinting techniques have been used as an extra security layer for wireless devices. Unique fingerprints are used to identify wireless devices in order to avoid spoofing or impersonating attacks. These unique features can be
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::474a03d501e8a7b5aeddd499e91d0630
https://doi.org/10.1109/jrfid.2020.2968369
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