Remaining useful life (RUL) prediction of mechanical components is high research value in the field prognostics and health management (PHM). However, RUL problems are completely challenging due to complicacy bearings’ operating environment. In this paper, we transform vibration acceleration signal collected by sensors into a time-frequency domain matrix through continuous wavelet (CWT) then ext...

The price of a stock in the market can be influenced by many factors, out which sentiment investors plays vital role. Most often, depends on news headlines. Therefore, headlines also play an important role fluctuation index. This paper uses combination Bidirectional Encoder Representations from Transformers (BERT) and Gated Recurrent Unit (BiGRU) algorithms for prediction scores based national ...

Since gold prices influence international economic and monetary systems, numerous studies have been conducted to forecast prices. Nonetheless, employing the linear relationship method usually fail explain change in pattern of price. This study introduces a new paradigm that incorporates association rules long short-term memory (LSTM) as nonlinear-based method. For simulation, proposed was analy...

Forecasting of the Renewable Energy plays a major role in optimal decision formula for government and industrial sector in Bangladesh. This research is based on time series modeling with special application to solar energy data for Dhaka city. Three families of time series models namely, the autoregressive integrated moving average models, Holt’s linear exponential smoothing, and the autoregres...

For a long time moving averages has been used for a financial data smoothing. It is one of the first indicators in technical analysis trading. Many traders debated that one moving average is better than others. As a result a lot of moving averages have been created. In this empirical study we overview 19 most popular moving averages, create a taxonomy and compare them using two most important f...

In the framework of a Particle-In-Cell scheme for some 1D Vlasov-Poisson system depending on a small parameter, we propose a time-stepping method which is numerically uniformly accurate when the parameter goes to zero. Based on an exponential time differencing approach, the scheme is able to use large time steps with respect to the typical size of the fast oscillations of the solution.

The purpose of this research is to develop a product was called Forecasting System Multi-Model (FSM) determine the best method in forecasting system by constructing several methods form Graphical User Interface (GUI) Matlab. It done all indicator accuration find mathematical model time series data certain period. In simulation phase, used Human Development Index (HDI) Bali Province 2010 - 2017 ...

• Traditional approaches, including Box–Jenkins autoregressive integrated moving average (ARIMA) model, autoregressive and moving average with exogenous variables (ARMAX) model, seasonal autoregressive integrated moving average (SARIMA) model, exponential smoothing models [including Holt–Winters model (HW) and seasonal Holt and Winters’ linear exponential smoothing (SHW)], state space/Kalman fi...