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CT-based COVID-19 Diagnosis and Prognosis through Novel AI Model Development

Xin Gao, Program Chair, Computer Science
Apr 18, 16:00 - 17:00

B2 L5 R5220

CT-based COVID-19 Diagnosis Prognosis novel methodology model development

During the recent pandemic, urgent advances have been made by the scientific community in developing artificial intelligence (AI)-based computer-aided systems for CT-based COVID-19 diagnosis. In this talk, I will introduce our work on a fully-automatic, rapid, accurate, and machine-agnostic method that can segment and quantify the infection regions on CT scans from different sources.

Modeling of MEMS piezoelectric energy harvesters using electromagnetic and power system theories

1 min read · Fri, Apr 29 2011

News

novel methodology power output piezoelectric generators

Mahmoud Al Ahmad, et al., "Modeling of MEMS piezoelectric energy harvesters using electromagnetic and power system theories." Smart materials and structures 20, (8), 2011, 085001. This work proposes a novel methodology for estimating the power output of piezoelectric generators. An analytical model that estimates for the first time the loss ratio and output power of piezoelectric generators based on the direct mechanical-to-electrical analogy, electromagnetic theory, and power system theory is developed. The mechanical-to-electrical analogy and power system theory allow the derivation of an

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