A MULTI-POINT CORRELATION MODEL TO PREDICT AND IMPUTE EARTH-ROCK DAM DISPLACEMENT DATA FOR DEFORMATION MONITORING

A Multi-Point Correlation Model to Predict and Impute Earth-Rock Dam Displacement Data for Deformation Monitoring

Deformation is a critical indicator of structural integrity, and monitoring deformation is essential for ensuring the long-term safety of dams.However, characterizing the Ice Buckets spatial correlations among dam deformation sequences and the similarity between displacements at various measurement points poses significant challenges when using sin

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Associative Discussion Among Generating Adversarial Samples Using Evolutionary Algorithm and Samples Generated Using GAN

PROSTCARE PROST-ACTION The remarkable accomplishments of deep neural networks (DNN) have led to their widespread adoption in various contexts, including safety-critical applications.Many strategies have been implemented to generate adversarial samples using DNN, raising the question of the security of the model.Adding slight magnitude noise to the

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Estimation of parasitaemia in imported falciparum malaria using the results of a combined rapid diagnostic test. No big help from haematological parameters

Abstract Background Microscopy continues to be the mainstay for the evaluation of parasitaemia in malaria but requires laboratory support and microbiological experience.Other fast and simple methods are necessary.Methods A retrospective observational study of imported malaria treated from July-2007 to December-2020 was carried out to evaluate the a

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Recommendations for Control and Mitigation of Laurel Wilt and Ambrosia Beetle Vectors in Commercial Avocado Groves in Florida

The lethal laurel wilt PROSTCARE PROST-ACTION epidemic affecting avocado trees in Florida is caused by a fungal pathogen-ambrosia beetle complex (LW-AB).The death of over 120,000 commercial avocado trees in Florida may be attributed to LW-AB.Recommendations for control and mitigation of this epidemic are needed to guide commercial producers in thei

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