Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Shaghayegh Reza"'
Publikováno v:
2021 29th Iranian Conference on Electrical Engineering (ICEE).
Autoencoder Neural Networks can filter unwanted variabilities; however, their performance will degrade if their attractors and their basins of attraction are not correctly adjusted. This paper proposes a heuristic method to increase attractors shaped
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f806ac6d368406c0455a679ba8014e4
https://doi.org/10.1109/icee52715.2021.9543707
https://doi.org/10.1109/icee52715.2021.9543707
Autor:
Golnar Rahimzadeh, Reza Valadan, Shaghayegh Rezai, Mohammad Khosravi, Laleh Vahedi Larijani, Somayeh Sheidaei, Ebrahim Nemati Hevelaee, Faezeh Sadat Movahedi, Raha Rezai, Mohammad Sadegh Rezai
Publikováno v:
Iranian Journal of Microbiology, Vol 16, Iss 3 (2024)
Background and Objectives: During the coronavirus pandemic, the overuse of antibiotics to reduce coinfections and mortality may be contributing to the rise of antimicrobial resistance. In this study, we aim to investigate the antibiotic resistance ch
Externí odkaz:
https://doaj.org/article/7cf07a6f5ce74beda276986efedf0223
Publikováno v:
2020 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS).
As a state-of-the-art solution for speaker verification problems, deep neural networks have been usefully employed for extracting speaker embeddings which represent speaker informative features. Objective functions, as the supervisors for the learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::809b184dccc633b86e3fdecbfa7f998f
https://doi.org/10.1109/icspis51611.2020.9349565
https://doi.org/10.1109/icspis51611.2020.9349565
Publikováno v:
Computers and Electrical Engineering. 99:107776
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::754168cc4f23c199186973c10738a486
https://doi.org/10.1016/j.compeleceng.2022.107776
https://doi.org/10.1016/j.compeleceng.2022.107776
Autor:
Golnar Rahimzadeh, Shaghayegh Rezai, Reza Valadan, Raha Rezai, Saman Soleimanpour, Laleh Vahedi, Somayeh Sheidaei, Masoud Moradi, Mohammad Sadegh Rezai, Ebrahim Nemati
Publikováno v:
Advanced Biomedical Research, Vol 13, Iss 1, Pp 105-105 (2024)
Background: Amid the COVID-19 pandemic, the surge in hospital admissions and widespread use of broad-spectrum antibiotics have heightened the risk of hospital-acquired infections from multidrug-resistant (MDR) organisms, particularly Escherichia coli
Externí odkaz:
https://doaj.org/article/d91534c205e4409b920869e1de8ee991
Autor:
Shaghayegh Rezai, Elnaz Ghorbani, Majid Khazaei, Seyedeh Elnaz Nazari, Farzad Rahmani, Hamideh Naimi, Asma Afshari, Amir Avan, Mikhail Ryzhikov, Saman Soleimanpour, Seyed Mahdi Hasanian Mehr
Publikováno v:
Advanced Biomedical Research, Vol 13, Iss 1, Pp 85-85 (2024)
Background: This investigation investigates the anti-inflammatory and fibrinolytic effects of a cocktail of probiotics derived from traditional dairy products in a murine model of ulcerative colitis (UC). Materials and Methods: A mix of newly isolate
Externí odkaz:
https://doaj.org/article/72be3561ab2a43c0aaf039fe5ff183c0
Publikováno v:
2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME).
Acoustic landmarks are defined as more informative parts of the speech signal and are proofed to be beneficial in designing more robust speech recognition systems. This work aims to present a Persian phone recognition system based on acoustic landmar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c54ab671f64b077ea7011e489ffd0951
https://doi.org/10.1109/icbme51989.2020.9319436
https://doi.org/10.1109/icbme51989.2020.9319436
Publikováno v:
International Journal of Speech Technology. 21:649-657
Spoken language recognition (SLR) is an identification process to detect the language of an audio file. Traditional SLR systems are mainly based on acoustic or phonetic approaches. These approaches have complementary characteristic, so fusing them ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8ac7253733fd4ed07fa09b53fba19b8
https://doi.org/10.1007/s10772-018-9526-5
https://doi.org/10.1007/s10772-018-9526-5
Autor:
Shaghayegh Rezaeekia, Hooshang Akbari, Mirmohammad Jalali, Soudabeh Haddadi, Ebrahim Nasiri Formi
Publikováno v:
Journal of Mazandaran University of Medical Sciences, Vol 34, Iss 236, Pp 208-209 (2024)
Shaghayegh Rezaeekia1, Hooshang Akbari2, Mirmohammad Jalali3, Soudabeh Haddadi4, Ebrahim Nasiri Formi5 1 Operating Room Instructor, Department of Operating Room and Anesthesiology, Langroud School of Allied Medical Sciences, Guilan University of Med
Externí odkaz:
https://doaj.org/article/b5b1b15cecca4582a5cebb3495c971f4
Autor:
Shaghayegh Reza, Jahanshah Kabudian
Publikováno v:
Signal and Data Processing. 14:111-134
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14448ab6c57002bff612ebae4cd0fc91
https://doi.org/10.18869/acadpub.jsdp.14.1.111
https://doi.org/10.18869/acadpub.jsdp.14.1.111