Abstract: Retaining walls play a crucial role in mitigating flood risks, particularly in riverine environments affected by extreme climatic events. This study evaluates the effectiveness of retaining ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
ABSTRACT: Flooding poses significant risks to communities in wetlands and densely urbanized regions, necessitating robust prevention strategies. This study focuses on the Canche and Liane watersheds ...
Abstract: We implement transfer learning (TL) to attain efficiency in training and feature extraction by freezing the connection weights of shallow layers of deep learning (DL) models, already trained ...
This study reports a model of eight somatosensory areas of the rat cortex consisting of 4.2 million morphologically and electrically detailed neurons. The authors carry out simulation experiments ...
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