Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Mohammad eshghi"'
Autor:
Mohammad Eshghi, Tomoki Toda
Publikováno v:
IEEE Access, Vol 12, Pp 50137-50153 (2024)
Total laryngectomy (TL) is as a well-established treatment for advanced laryngeal malignancies, entailing the complete removal of the larynx. Speech rehabilitation following TL is crucial for improving the quality of life and facilitating social rein
Externí odkaz:
https://doaj.org/article/84f969f43c0b4915a9957d13cc4f1d3f
Premature Ventricular Contraction (PVC) Detection System Based on Tunable Q-Factor Wavelet Transform
Publikováno v:
Journal of Biomedical Physics and Engineering, Vol 12, Iss 1, Pp 61-74 (2022)
Background: The Electrocardiogram (ECG) is an important measure for diagnosing the presence or absence of heart arrhythmias. Premature ventricular contractions (PVC) is a relatively large arrhythmia occurring outside the normal tract and being trigge
Externí odkaz:
https://doaj.org/article/6ad003980cfa440f8debf1fb29388f4f
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 20, Iss 4, Pp 1308-1317 (2017)
In this paper, a new 32-bit ASIP-based crypto processor for AES, IDEA, and MD5 is designed. The instruction-set consists of both general purpose and specific instructions for the above cryptographic algorithms. The proposed architecture has nine func
Externí odkaz:
https://doaj.org/article/d6084008285c4e69bc9063c24b388933
Autor:
Mohammad Hadi MAZIDI, Mohammad ESHGHI
Publikováno v:
Applied Medical Informatics, Vol 41, Iss 3 (2019)
Ischemic heart disease is one of the leading causes of death in the world, and includes a wide range of transient forms, including incomplete blood supply to the heart muscle, which cause heart attacks and eventually sudden death. Identifying the mai
Externí odkaz:
https://doaj.org/article/154c8704611c4b0e84c150d2fb83ec62
Autor:
Elham Hasani, Mohammad Eshghi
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 4, Iss 3, Pp 13-19 (2012)
In this paper, a new algorithm for image encryption using chaotic tent map and Arnold cat map is proposed. This algorithm consists of two major phases, permutation and substitution. In the permutation phase, Arnold cat transform is used. A pseudo ran
Externí odkaz:
https://doaj.org/article/0e2263589f3b49ea96d5c776cb970a22
Publikováno v:
Journal of Information Systems and Telecommunication (JIST). 10:279-286
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29cfdcb75228d223a4ba9bfd54c23617
https://doi.org/10.52547/jist.16264.10.40.279
https://doi.org/10.52547/jist.16264.10.40.279
Publikováno v:
Big Data Analytics for Internet of Things
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::410f47464744dbe7af6e2b97a82e9659
https://doi.org/10.1002/9781119740780.ch10
https://doi.org/10.1002/9781119740780.ch10
Low-power and high-speed approximate 4:2 compressors for image multiplication applications in CNFETs
Publikováno v:
International Journal of Electronics. 108:1288-1308
Approximate computing is an emerging paradigm to make a trade-off between accuracy and hardware parameters in error resilient applications. Multiplication is one of the main operators in various di...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::151f1020c62a49d804504c34e9ceb95c
https://doi.org/10.1080/00207217.2020.1858973
https://doi.org/10.1080/00207217.2020.1858973
Autor:
Mehdi Hosseinzadeh, Modjtaba Emadi-Baygi, Mohammad Eshghi, Naeimeh Soheili, Razieh Heidari, Seyed Abbas Mirzaei
Publikováno v:
Biotechnology Letters. 42:1419-1429
Synthetic biology is primarily an emerging research field that consists of designing new synthetic gene circuits dedicated to targeted functions and therapies such as cancer therapy. In this study, a genetic logic NOT-IF gate is used to reduce the mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::038b21e1c6772872586550c0e32d768f
https://doi.org/10.1007/s10529-020-02851-y
https://doi.org/10.1007/s10529-020-02851-y
Publikováno v:
The Journal of Supercomputing. 76:10354-10368
The accuracy and performance of deep neural network models become important issues as the applications of deep learning increase. For example, the navigation system of autonomous self-driving vehicles requires very accurate deep learning models. If a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20b6fe77572d15dd90b373c3a26b67ed
https://doi.org/10.1007/s11227-020-03251-9
https://doi.org/10.1007/s11227-020-03251-9