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Consensus on the directions for development in quantitative microbial risk assessment

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Acceso abierto Artículo DOAJ

Consensus on the directions for development in quantitative microbial risk assessment

DONG Qingli et al · The Editorial Office of Chinese Journal of Food Hygiene · 2025 · ISSN 1004-8456

In recent years， quantitative microbial risk assessment （QMRA） for food safety has developed rapidly both domestically and internationally. QMRA integrates multidisciplinary theoretical knowledge and technical meth...

LCC TENDOkZvb2QgcHJvY2Vzc2luZyBhbmQgbWFudWZhY3R1cmU~; LCC:Nutrition. Foods and food supplyIdioma zho

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Deep Learning-Based Structural Health Monitoring: A Multi-Scale Neural Network Approach for Real-Time Damage Detection in Composite Materials

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Deep Learning-Based Structural Health Monitoring: A Multi-Scale Neural Network Approach for Real-Time Damage Detection in Composite Materials

Ali Khalid Younis Al-Taie · University of Mosul, College of Education for Pure Science · 2025 · ISSN 1812-125X

For the structural health monitoring of composite materials, data analysis technology must be very sophisticated, capable of detecting fault patterns that are multi-level and complicated. A comprehensive deep learning pa...

LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng

Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.

Open Access

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