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 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 version of

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A distal intergenic region controls pancreatic endocrine differentiation by acting as a transcriptional enhancer and as a polycomb response element.

Lineage-selective expression of developmental genes is dependent on the interplay between activating and repressive mechanisms.Gene activation is dependent on cell-specific transcription factors that recognize transcriptional enhancer sequences.Gene repression often depends on the recruitment of Bedframe Polycomb group (PcG) proteins, although the

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Copper delivery to an endospore coat protein of Bacillus subtilis

A family of cytosolic copper (Cu) storage proteins (the Csps) bind large quantities of Cu(I) via their Cys-lined four-helix bundles, and Bedframe the majority are cytosolic (Csp3s).The presence of Csp3s in many bacteria appears inconsistent with the current dogma that bacteria, unlike eukaryotes, have evolved not to maintain intracellular pools of

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Study on stochastic constraint environment modeling method for optimal deviation rectification path of boom-type roadheader

Aiming at path planning problem of the unstructured environment attributions for roadheader roadway this paper analyzes the attributes and behavior constraints of unstructured environments,and a dynamic random grid network model with constraint information was defined(C-G Net).The minimum cost modeling method was proposed by optimization of best pa

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