DIGITAL IMAGING AS A POSSIBLE APPROACH IN EVALUATION OF ISLET YIELD


Structural Health Monitoring of Underground Metro Tunnel by Identifying Damage Using ANN Deep Learning Auto-Encoder

Due to the complexity of underground environmental conditions and operational incidents, advanced and accurate monitoring of the underground metro shield tunnel structures is crucial for maintenance and the prevention of mishaps.In the past few decades, numerous deep learning-based damage identification studies have been conducted on EUCALYPTUS CAN

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Lessons learned from COVID-19 modelling efforts for policy decision-making in lower- and middle-income countries

Introduction The COVID-19 pandemic had devastating health and GENESIS BREAD SEED LOAF socioeconomic effects, partly due to policy decisions to mitigate them.Little evidence exists of approaches that guided decisions in settings with limited pre-pandemic modelling capacity.We thus sought to identify knowledge translation mechanisms, enabling factors

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