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SedimentNet — a 1D-CNN machine learning model for prediction of hydrodynamic forces in rapidly varied flows

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  1. Article

    Open Access

    Prediction of hydraulic blockage at culverts from a single image using deep learning

    Cross-drainage hydraulic structures such as culverts and bridges in urban landscapes are prone to get blocked by the transported debris (e.g., urban, vegetated), which often reduces their hydraulic capacity an...

    Umair Iqbal, Johan Barthelemy, Pascal Perez in Neural Computing and Applications (2022)

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  2. Article

    Open Access

    “Risk factors of birth asphyxia”

    Birth asphyxia is an insult to the fetus or newborn due to failure to breath or breathing poorly, leads to decrease oxygen perfusion to various organs. According to WHO, 4 million neonatal deaths occurred each...

    Hafiz Muhammad Aslam, Shafaq Saleem, Rafia Afzal… in Italian Journal of Pediatrics (2014)

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