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 …

The health and quality of the Danube River ecosystems is strongly affected by the nutrients
loads (N and P), degree of contamination with hazardous substances or with oxygen …

Recently, the human-like behavior on the anthropomorphic robot manipulator is increasingly
accomplished by the kinematic model establishing the relationship of an anthropomorphic …

Cascade-forward neural network is a class of neural network which is similar to feed-forward
networks, but include a connection from the input and every previous layer to following …

In this work, adaptive learning of a monitored real-time stochastic phenomenon over an
operational LTE broadband radio network interface is proposed using cascade forward …

Soft soils are considered as disadvantages in construction, especially in clay layers. It
requires many advanced techniques to treat the soft soils before construction, aiming to …

Zinc oxide (ZnO) nanocomposite sensors decorated with various dopants are popular tools
for detecting even low hydrogen (H 2) concentrations. The nanocomposite's chemistry …

In international trade, it is common practice for multinational companies to use financial
market instruments, such as financial derivatives and foreign currency debt, to hedge …

Agricultural water scarcity in the primarily rainfed agricultural system of Jigawa State in
Nigeria is more related to the variability of rainfall. Rainfed subsistence farming systems in …

Air temperature forecasting has been a vital climatic factor required for different applications
in many areas such as energy, industry, agriculture, health, environment, and meteorology …