LOOSENESS IDENTIFICATION OF TRACK FASTENERS BASED ON ULTRA-WEAK FBG SENSING TECHNOLOGY AND CONVOLUTIONAL AUTOENCODER NETWORK

Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network

Changes in the geological environment and track wear, and deterioration of train bogies may lead to the looseness of subway fasteners.Identifying loose fasteners randomly distributed along the subway line is of great significance to avoid train derailment.This paper presents a convolutional autoencoder (CAE) network-based method for identifying fas

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Quantification of Foraging Areas for the Northern Bald Ibis (Geronticus eremita) in the Northern Alpine Foothills: A Random Forest Model Fitted with Optical and Actively Sensed Earth Observation Data

The Northern Bald Ibis (Geronticus eremita, NBI) is an endangered migratory species, which went extinct in Europe in the 17th century.Currently, a translocation project in the frame of the European LIFE program is carried out, to reintroduce a migratory population with breeding colonies in the northern and southern Alpine foothills and a common win

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