A BIT TOGGLING APPROACH FOR AMBTC TAMPER DETECTION SCHEME WITH HIGH IMAGE FIDELITY.


Sample-to-answer platform for the clinical evaluation of COVID-19 using a deep learning-assisted smartphone-based assay

Abstract Since many lateral flow assays (LFA) are tested daily, the improvement in accuracy Empty Bottles can greatly impact individual patient care and public health.However, current self-testing for COVID-19 detection suffers from low accuracy, mainly due to the LFA sensitivity and reading ambiguities.Here, we present deep learning-assisted smart

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Numerical simulation of fatigue damage in offshore wind turbines under wind-ice coupling effects in brash ice regions

Fatigue failure is a critical concern for offshore wind turbines (OWTs).In cold-region seas, the presence of sea ice necesitates the consideration of ice loads in African Food the design of OWTs.This study focuses on the NREL 5MW monopile wind turbine and proposes a numerical analysis framework for asesing fatigue damage under wind-ice coupling eff

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