thickness and corrosion/erosion rate. In this thesis, a combination of signal processing techniques are used to estimate the corrosion rate estimates based on MBE. Corrosion rate is estimated based on ultrasonic pipe wall thickness data is collected over a short period of time using MBE model. This technique is based on data collected from the speedometer applied for thinning and both indicate ...

The aim of the research. This paper discusses use machine learning algorithms to generate data that meets demands academia and industry in context exchange rate fluctuations. Research results. builds a Quant-GAN model using temporal convolutional neural networks (CNN) trains it on end-of-day intraday high-frequency rates currency pairs global market. generated is evaluated various statistical m...

This paper studies the prediction of interbank offered rate changes in each working day. Using actual data day China’s from 2007 to 2019, this sets up ARIMA, Prophet, grey model and MTGNN study verify time series data, make a comparison between these models. The limitation is that it does not consider impact macroeconomic characteristics but only considers predict series. results are expected b...

The IMO has decided to proceed with the early introduction of EEDI Phase 3, a CO2 emission regulation prevent global warming. Measures reduce emissions for ships that can be applied immediately are required achieve reduction. We set six different scenarios according type ship and fuel, designed monoethanolamine-based capture process using rate-based model Aspen Plus v10. simulation was validate...