Machine learning methods, a family of statistical techniques with origins in the field of
artificial intelligence, are recognized as holding great promise for the advancement of …

This is largely due to 1) a lack of communication and collaboration between the machine
learning research community and natural scientists, 2) a lack of communication about …

There is little appreciation of the level of extinction risk faced by one‐sixth of the over 65,000
species assessed by the International Union for Conservation of Nature. Determining the …

This article describes design and application of feed-forward, fully-connected, three-layer
perceptron neural network model for computing the water quality index (WQI) 1 for Kinta …

Species distribution models (SDM) are commonly used to obtain hypotheses on either the
realized or the potential distribution of species. The reliability and meaning of these …

Soil organic matter (SOM) content is considered as an important indicator of soil quality. An
accurate spatial prediction of SOM content is so important for estimating soil organic carbon …

Spatial distributions of marine fauna are determined by complex interactions between
environmental conditions and animal behaviors. As climate change leads to warmer, more …

Stock markets can be interpreted to a certain extent as prediction markets, since they can
incorporate and represent the different opinions of investors who disagree on the …

Water pollution is one of the most challenging environmental issues. A powerful tool for
measuring the suitability of water for drinking is required. The Water Quality Index (WQI) is a …

The majority of the existing studies on timber price forecasting are based on ARIMA/SARIMA
autoregressive moving average models, while vector autoregressive (VAR) and exponential …