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Ahmed Alaghbari on Muck Rack

Ahmed Alaghbari

As seen in: Taylor & Francis Online, Dialnet - Universidad de La Rioja
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Articles

Multi-variate structural reliability assessment for wind energy harvester by Gaidai risk assessment method

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By Oleg Gaidai, Shicheng He, Jinlu Sheng, Ahmed Alaghbari
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda Multi-variate structural reliability assessment for wind energy harvester by Gaidai risk assessment method Oleg Gaidai [1] ; Shicheng He [1] ; Jinlu Sheng [2] ; Ahmed Alaghbari [1] ; Antoine Dembadouno [1] ; Tanyaradzwa Kuzvidza [1] ; Yan Zhu [3] [1] Shanghai Ocean University, Shanghai, China [2] Chongqing Jiao Tong University, Chongqing, China [3] Jiangsu University of Science and Technology, Zhenjiang, China Localización: Mechanics based design of...
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World COVID-19 bivariate statistics by multi-modal Gaidai reliability approach

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By Oleg Gaidai, Shicheng He, Ahmed Alaghbari, Tanyaradzwa Kuzvidza
| Taylor & Francis Online
Abstract The global spread of coronavirus (COVID-19 or SARS-CoV-2) in the years 2020–2022 and beyond was characterized by high rates of transmission, low rates of morbidity and fatality, and challenges posed to national public health systems. A novel multi-modal bio-reliability approach is benchmarked and cross-validated in this case study.
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Multi-variate structural reliability assessment for wind energy harvester by Gaidai risk assessment method

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By Oleg Gaidai, Shicheng He, Ahmed Alaghbari, Antoine Dembadouno
| Taylor & Francis Online
OG – conceptualization; SH – writing; AA – verification; AD – data analysis; TK – project management; JS – software; YZ – visualization. Data can be made available on request from corresponding author. No potential competing interest was reported by the authors. Additional information No funding had been received.
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