Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Fatemeh Safara"'
Autor:
Alireza Souri, Amin Salih Mohammed, Moayad Yousif Potrus, Mazhar Hussain Malik, Fatemeh Safara, Mehdi Hosseinzadeh
Publikováno v:
IEEE Access, Vol 8, Pp 23863-23874 (2020)
By increasing the complexity of the Internet of Things (IoT) applications, fault prediction become an important challenge in interactions between human, and smart devices. Fault prediction is one of the key factors to achieve better arranging the IoT
Externí odkaz:
https://doaj.org/article/0d21b1226b204b02a1efb0f37649f218
Autor:
Fatemeh Safara, Amin Salih Mohammed, Moayad Yousif Potrus, Saqib Ali, Quan Thanh Tho, Alireza Souri, Fereshteh Janenia, Mehdi Hosseinzadeh
Publikováno v:
IEEE Access, Vol 8, Pp 48428-48437 (2020)
Author gender detection (AGD) is a serious and crucial issue in Internet security applications, in particular in email, messenger, and social network communications. Detecting the gender of communication partner helps preventing massive fraud and abu
Externí odkaz:
https://doaj.org/article/340aba7a350c4e1aa5fdbbec9d359e00
Autor:
Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan
In this paper, a new feature selection algorithm, called SFE (Simple, Fast, and Efficient), is proposed for high-dimensional datasets. The SFE algorithm performs its search process using a search agent and two operators: non-selection and selection.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5bde1786da271cb671f3e8674d9aa26
Publikováno v:
Wireless Personal Communications. 127:845-868
Explosion detection is one the important issues to protect people's lives from terrorist attacks. Technological advances have significantly reduced the possibility of terrorist attacks. One of the technologies that improved the explosion detection ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed74dab612c52996aaedfd1bf615197d
https://doi.org/10.1007/s11277-021-08442-y
https://doi.org/10.1007/s11277-021-08442-y
Publikováno v:
Neural Processing Letters
Artificial intelligence is a future and valuable tool for early disease recognition and support in patient condition monitoring. It can increase the reliability of the cure and decision making by developing useful systems and algorithms. Healthcare w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f283e7740cdaba3e4e515937e3435c1
https://doi.org/10.1007/s11063-021-10491-0
https://doi.org/10.1007/s11063-021-10491-0
Autor:
Fatemeh Safara
Publikováno v:
Computational Economics
The knowledge-based economy has drawn increasing attention recently, particularly in online shopping applications where all the transactions and consumer opinions are logged. Machine learning methods could be used to extract implicit knowledge from t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::191d1bbe0c1d15432d7aefc5a63db78a
http://europepmc.org/articles/PMC7643087
http://europepmc.org/articles/PMC7643087
Publikováno v:
The Journal of Supercomputing. 77:3710-3726
Wavelet packet transform (WPT) is a powerful mathematical tool for analyzing nonlinear biomedical signals, such as phonocardiogram (PCG). WPT decomposes a PCG signal into a full binary tree of details and approximation coefficients. Appropriate nodes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21f5df2b6034769b6d44b7418a9e2bdd
https://doi.org/10.1007/s11227-020-03413-9
https://doi.org/10.1007/s11227-020-03413-9
Autor:
Hawkar Kamaran Hama, Omed Hassan Ahmed, Bay Vo, Marwan Yassin Ghafour, Saqib Ali, Fatemeh Safara, Hsiu Sen Chiang, Mehdi Hosseinzadeh
Publikováno v:
The Journal of Supercomputing. 77:3616-3637
Medical information systems such as Internet of Medical Things (IoMT) are gained special attention over recent years. X-ray and MRI images are important sources of information to be examined for a particular type of anomalies. Reports based on the im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77150f30036c3b7f16251bc47b8a2e59
https://doi.org/10.1007/s11227-020-03404-w
https://doi.org/10.1007/s11227-020-03404-w
Autor:
Alireza Souri, Ali Yamini, Mahdi Hoseyninezhad, Fatemeh Safara, Marwan Yassin Ghafour, Aram Mahmood Ahmed
Publikováno v:
Soft Computing. 24:17111-17121
Advancement in sensor technologies has resulted in rapid evolution of Internet of Things (IoT) applications for developing behavioral and physiological monitoring systems such as IoT-based student healthcare monitoring system. Nowadays, a growing num
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65d9869a979ddf4877a4b8b8f2c626a7
https://doi.org/10.1007/s00500-020-05003-6
https://doi.org/10.1007/s00500-020-05003-6
Publikováno v:
IET Communications. 14:1192-1197
Nowadays, detecting anomaly events in communication networks is highly under consideration by many researchers. In a large communication network, traffic is massive, which leads to a larger amount of data travelling and also the growth of noise. Ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a340f9a54ff293d5765c207a12ca4a37
https://doi.org/10.1049/iet-com.2019.0502
https://doi.org/10.1049/iet-com.2019.0502