A STUDY OF COMBINATION OF AUTOENCODERS AND BOOSTED BIG-BANG CRUNCH THEORY ARCHITECTURES FOR LAND-USE CLASSIFICATION USING REMOTELY SENSED IMAGERY

A study of combination of autoencoders and boosted Big-Bang crunch theory architectures for Land-Use classification using remotely sensed imagery

Abstract The research introduced a new method for land-use classification by merging deep convolutional neural networks with a modified variant of PRINTS a metaheuristic optimization technique.The methodology involved utilizing the VGG-19 model for feature extraction, dimensionality reduction, and a stacked autoencoder optimized with a boosted vers

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A new alvarezsaurid dinosaur from the Late Cretaceous Qiupa Formation of Luanchuan, Henan Province, central China

ABSTRACT: An alvarezsaurid dinosaur skeleton was discovered from the Late Cretaceous Qiupa Formation of Luanchuan, Henan Province of central China.It represents a new alvarezsaurid dinosaur Qiupanykus zhangi gen.et sp.nov.A phylogenetic analysis Games recovers Qiupanykus nested within the unresolved clade, which includes Asian and north American ta

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Application of Forward Error Correction (FEC) Codes in Wireless Acoustic Emission Structural Health Monitoring on Railway Infrastructures

Structural health monitoring (SHM) has been extensively used in the railway industry, with applications ranging from railway infrastructures to carbody shells.An SHM method that dominates monitoring procedures is Acoustic Emissions (AE).The utilisation of the AE method could use a significantly large amount of data, collected and forwarded Cyclist

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