Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Soodeh Hossein"'
Autor:
Elham Asadi, Soodeh Hosseini
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-29 (2024)
Abstract In this paper, we present a new malware propagation model that integrates epidemic spread, clustering, and link prediction techniques, tailored for complex network networks. Our model is based on the clustered-link prediction-susceptible-exp
Externí odkaz:
https://doaj.org/article/cc1eea3a5d7d4b79af004abc63d92e52
Autor:
Mohammad Mousavi, Soodeh Hosseini
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract The epidemic diseases such as COVID-19 are rapidly spreading all around the world. The diagnosis of epidemic at initial stage is of high importance to provide medical care to and recovery of infected people as well as protecting the uninfect
Externí odkaz:
https://doaj.org/article/db0c7f4e4a2845e2916cca509cf62050
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In this paper, an enhanced equilibrium optimization (EO) version named Levy-opposition-equilibrium optimization (LOEO) is proposed to select effective features in network intrusion detection systems (IDSs). The opposition-based learning (OBL
Externí odkaz:
https://doaj.org/article/1c06169466704d9db5c103aa283a2ff6
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 228:104618
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de325eb7ecfe52d7acb9c5399b6844a8
https://doi.org/10.1016/j.chemolab.2022.104618
https://doi.org/10.1016/j.chemolab.2022.104618
Autor:
Mahdieh Maazalahi, Soodeh Hosseini
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 12, Iss 1, Pp 95-104 (2024)
Detecting and preventing malware infections in systems is become a critical necessity. This paper presents a hybrid method for malware detection, utilizing data mining algorithms such as simulated annealing (SA), support vector machine (SVM), genetic
Externí odkaz:
https://doaj.org/article/0b56ae3e2de9433a8cee9965a0f5ef56
Publikováno v:
مجله انفورماتیک سلامت و زیست پزشکی, Vol 10, Iss 1, Pp 41-56 (2023)
Introduction: COVID-19 has had a devastating impact on public health around the world. Since early diagnosis and timely treatment have an impact on reducing mortality due to infection with COVID-19 and existing diagnostic methods such as RT-PCR test
Externí odkaz:
https://doaj.org/article/7b64101e045447209512200c7b34bec7
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 2, Pp 187-194 (2023)
This paper proposed a fuzzy expert system for diagnosing diabetes. In the proposed method, at first, the fuzzy rules are generated based on the Pima Indians Diabetes Database (PIDD) and then the fuzzy membership functions are tuned using the Harris H
Externí odkaz:
https://doaj.org/article/008b5a397c1a4c748ac9bf616bcb7f6b
Publikováno v:
Computer and Knowledge Engineering, Vol 5, Iss 2, Pp 57-66 (2022)
Coronavirus 2019 (COVID-19), as a common infectious disease, is spreading rapidly and uncontrollably worldwide. Therefore, early detection of mortality considering the symptoms that appear in patients with Coronavirus is important. The main aim of th
Externí odkaz:
https://doaj.org/article/f38ebb3c3d3a461e8a50333a209293fe