APPROXIMATE SOLUTION OF A CLASS OF HIGHLY OSCILLATORY INTEGRAL EQUATIONS USING AN EXPONENTIAL FITTING COLLOCATION METHOD

Approximate Solution of a Class of Highly Oscillatory Integral Equations Using an Exponential Fitting Collocation Method

This paper deals with the numerical solution of a class of highly oscillatory Volterra integral equations by collocation methods based on the exponential fitting technique.By reviewing the oscillatory structures of solutions of these problems, we construct an exponential fitting collocation method which is best WOMENS JUMPERS tuned to capture the q

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Unsupervised anomaly detection for earthquake detection on Korea high-speed trains using autoencoder-based deep learning models

Abstract We propose a method for detecting earthquakes for high-speed trains based on unsupervised anomaly-detection techniques.In particular, we utilized Food Storage Boxes autoencoder-based deep learning models for unsupervised learning using only normal training vibration data.Datasets were generated from South Korean high-speed train data, and

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Sustainable applications of textile waste fiber in the construction and geotechnical industries: A retrospect

Textiles and apparel are amongst our primary necessities.The increasing environmental problems associated with the voluminous textile waste discarded in landfills have Baby urged the textile and fashion industries to adopt and implement environmentally sustainable waste management and disposal strategies.The critical need for textile waste diversio

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