There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …

The key factor in selecting appropriate forecasting model is accuracy. Given the deficiencies
of single models in processing various patterns and relationships latent in data, hybrid …

Failure of earth dams is one of the major challenges of civil engineering, one of the main
causes of which is uncontrolled seepage from the core and foundation of the dam. The use …

We explore the forecasting issue in a data set of daily corn cash prices from nearly 500
markets across sixteen states: North Dakota, Iowa, Minnesota, Illinois, Indiana, Ohio …

For a wide spectrum of agricultural market participants, building price forecasts of various
agricultural commodities has always been a vital project. In this work, we approach this …

For market players and policy officials, commodity price forecasts are crucial problems that
are challenging to address due to the complexity of price time series. Given its strategic …

The fluctuations in prices of agricultural commodities have an adverse effect on the GDP of a
country. The farmers are emotionally and financially affected as their years of hard work go …

Forecasting commodity prices is a vital issue to a wide spectrum of market participants and
policy makers in the metal sector. In this work, the forecast problem is investigated by …

Forecasts of commodity prices are vital issues to market participants and policy-makers.
Those of cooking section oil are of no exception, considering its importance as one of main …

Purpose Forecasts of commodity prices are vital issues to market participants and policy
makers. Those of corn are of no exception, considering its strategic importance. In the …