Memprediksi laju penguapan memiliki manfaat yang luas dalam berbagai aplikasi seperti manajemen sumber daya air, pertanian, dan lingkungan hidup. Namun untuk mendapatkan data lengkap akurat mempelajari tantangan tersendiri. Selain itu, rendahnya tingkat linieritas antara faktor meteorologi lainnya di wilayah tropis dapat menyebabkan hasil prediksi bervariasi. Tujuan dari penelitian ini adalah m...

In this paper, we have examined 4 models for Great Salt Lake level forecasting: ARMA (Auto-Regression and Moving Average), ARFIMA (Auto-Regressive Fractional Integral and Moving Average), GARCH (Generalized Auto-Regressive Conditional Heteroskedasticity) and FIGARCH (Fractional Integral Generalized Auto-Regressive Conditional Heteroskedasticity). Through our empirical data analysis where we div...

This study investigated the factors which contributed to inflation in Bangladesh from 1986 2021. The also explored presence of a long-run relationship among (denoted by Consumer Price Index), GDP, broad money supply, and exchange rate. Johansen cointegration test confirmed no those selected variables Bangladesh. I employed Vector Auto Regression (VAR) method reveal causal them. estimated result...

For the past two decades, the nuclear industry has attempted to move toward a condition-based maintenance philosophy using new technologies developed to monitor the condition of plant equipment during operation. Specifically, techniques have been developed to monitor the condition of sensors and their associated instrument loops while a plant is operating. Traditionally, instruments must be rec...

To forecast the short-term wind power precisely, this paper proposes a hybrid strategy which consists of a nonlinear dimensionality reduction component by auto-encoder network and a forecasting component based on Sparse Bayesian Regression optimized by Artificial Bee Colony Optimization. The proposed model can predict wind power curve per hour with a lead time of 3hours. Finally, an experiment ...

Change detection using heterogeneous remote sensing images is an increasingly interesting and very challenging topic. To make the comparable, some graph-based methods have been proposed, which first construct a graph for image to capture structure information then use obtain structural changes between images. Nonetheless, previous change approaches are insufficient in representing exploiting st...