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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The Effectiveness of Noninvasive Positive Pressure Ventilation in Subarachnoid Pleural Fistula: A Case Report and Literature Review

Subarachnoid pleural fistula (SPF) is an aberrant communication between ALOE VERA 50MG the pleural cavity and subarachnoid space, resulting in uncontrolled cerebrospinal fluid drainage.The negative pressure of the pleural cavity creates a continuous suctioning effect, thereby impeding the spontaneous closure of these fistulas.Dural tears or punctur

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Investigating workplace bullying (WPB), intention to quit and depression among nurses in the Upper West Region of Ghana.

BackgroundIntention to quit among nurses is increasingly recognized as a serious predictor of voluntary turnover.Voluntary turnover on the other hand is a significant factor fueling the shortage of nurses globally which could partly be blamed on negative workplace behaviors including but not limited to workplace bullying.Even though the relationshi

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