LANDSCAPE CONFIGURATION IN SEAGRASS MEADOWS AND ITS INFLUENCE ON CARBON STOCK IN REEF LAGOON SYSTEMS


Implementation of Deep Learning for Slump Optimization Based on Concrete Quality Using Convolutional Neural Network in PT. SELO PROGO SAKTI

Deep Learning is part of the scientific field of Machine Learning and Machine Learning is part of Artificial Intelligence science.Deep Learning has extraordinary capabilities by using a hardware Graphical Processing Unit (GPU) so that the artificial requirement network can run faster than using a Personal Computer Unit (CPU).Especially in terms of

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Failure Mode Prediction of Unreinforced Masonry (URM) Walls Retrofitted with Cementitious Textile Reinforced Mortar (TRM)

The brittle failure of unreinforced masonry (URM) walls when subjected to in-plane loads present low shear strength remains a critical issue.The investigation presented in this paper touches on the retrofitting of URM structures with textile-reinforced mortar (TRM), which enables shifting the shear failure mode from a brittle to a pseudo-ductile mo

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