E-AVOA-TS: Enhanced African vultures optimization algorithm-based task scheduling strategy for fog–cloud computing

Autor: Ghafari, R., Mansouri, N.

Publikováno v: In Sustainable Computing: Informatics and Systems December 2023 40

Cloud computing simulators: A comprehensive review

Autor: Mansouri, N., Ghafari, R., Zade, B. Mohammad Hasani

Publikováno v: In Simulation Modelling Practice and Theory November 2020 104

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Prediction of the Fatal Acute Complications of Myocardial Infarction via Machine Learning Algorithms.

Autor: Ghafari R; Pharmacy Faculty, Urmia University of Medical Sciences, Urmia, Iran., Azar AS; Department of Computer Engineering, Urmia University, Urmia, Iran., Ghafari A; Medical Physics and Biomedical Engineering Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.; Research Center for Evidence-Based Medicine, Tabriz University of Medical Sciences, Tabriz, Iran., Aghdam FM; Pharmacy Faculty, Urmia University of Medical Sciences, Urmia, Iran., Valizadeh M; Faculty of Electrical and Computer Engineering, Urmia University, Urmia, Iran., Khalili N; Department of Cardiology, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran., Hatamkhani S; Experimental and Applied Pharmaceutical Sciences Research Center, Urmia University of Medical Sciences, Urmia, Iran.; Department of Clinical Pharmacy, Urmia University of Medical Sciences, Urmia, Iran.

Publikováno v: The journal of Tehran Heart Center [J Tehran Heart Cent] 2023 Oct; Vol. 18 (4), pp. 278-287.

Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review.

Autor: Ghafari, R., Kabutarkhani, F. Hassani, Mansouri, N.

Publikováno v: Cluster Computing; Apr2022, Vol. 25 Issue 2, p1035-1093, 59p