Demand forecasting is of major importance for manufacturing companies since it provides a
basis for production planning. However, demand forecasting can be a difficult task because …

The previous researches have shown that the incorporation of the oceanic-atmospheric
climate phenomena such as Sea Surface Temperature (SST) into hydro-climatic models …

There are distinctive methodological and conceptual challenges in rare and severe event
(RSE) forecast-verification, that is, in the assessment of the quality of forecasts involving …

The teleconnection modeling of hydro-climatic events is a complex problem with highly
uncertain circumstances. In contrast to the classic fuzzy logic methods, by using the Z …

The relationships between the synoptic climatology, large-scale teleconnections and the
regional avalanche activity index (RAAI) inferred from tree-rings were evaluated for the …

Avalanche forecasting is carried out using physical as well as statistical models. All these
models have certain limitations associated with their mathematical formulation that enable …

In this paper, the application of two data mining techniques (decision tree and association
rules) was offered to discover affiliation between several thresholds of monthly precipitation …

This paper explores the snow-avalanche regime based on tree-ring reconstructions and
their triggering weather conditions with classification tree algorithms. The results show a …

Abstract Artificial Bee Colony (ABC) algorithm is a popular metaheuristic due to its simplicity
yet a stronger search mechanism. However, some researchers have reported that ABC …

The main objective of this paper is to analyze the spatial variability of rainfall trends using
the spatial variability methods of rainfall trend patterns in Iran. The study represents a …