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A flood is an extremely dangerous disaster that can wipe away an entire city, coastline, and rural area. The flood can cause wide destrotion to property and life that has the supreme corrosive force and can be highly damaging. In order to decrease the damages caused by the flood, an Artificial Neural Network (ANN) model has been established to predict flood in Sungai Isap, Kuantan, Pahang, Malaysia...
In this paper, we propose a new approach that is to combine a model of time series with Bayesian networks to create a new forecasting model to predict the occurrence of harmful pests of rice. Ability of forecast system knows when immigrant brown plant hopper (BPH) peaks to make a calendar of sowing rice to avoid them. This is indeed helpful for experts as well as farmers to sow rice of seeds actively...
In order to forecast quickly the operating condition of the loom, optimize the parameters of loom production, so that the production efficiency of loom will be improved. This paper studies the prediction of the operating condition of the loom based on the neural networks. The neural networks technology is applied to forecast the operating condition of the loom production, establishes corresponding...
The Brazilian electric sector reform specifying that the remuneration of distribution utilities must be through the management of their systems increased the necessity of control and management of load flows through the connection points between their systems and the basic grid as a function of the contracted amounts. The objective of this control is to avoid that these flows exceed some thresholds...
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