Mycobacterium tuberculosis is one of the strongest reducers of nitrate in the genus Mycobacterium: Under microaerobic conditions, whole cells exhibit upregulation of activity, producing approximately eightfold more nitrite than those of aerobic cultures of the same age. Assays of cell extracts from aerobic cultures and hypoxic cultures yielded comparable nitrate reductase activities. Mycobacter...

This paper proposes an electricity demand and price forecast model of the smart city large datasets using a single comprehensive Long Short-Term Memory (LSTM) based on sequence-to-sequence network. Real market data from Australian Energy Market Operator (AEMO) is used to validate effectiveness proposed model. Several simulations with different configurations are executed actual produce reliable...

The prediction of solar radiation has a significant role in several fields such as photovoltaic (PV) power production and micro grid management. interest is increasing nowadays so efficient can greatly improve the performance these different applications. This paper presents novel approach which combines two models, Auto Regressive Moving Average (ARMA) Nonlinear with eXogenous input (NARX). ch...

In order to improve the accuracy of power load forecasting, this paper proposes a neural network-based short-term monitoring method. First, original energy signal is decomposed by CEEMDAN algorithm obtain several eigenmode function components and residual components; functions are fed into NARX network for computational purposes. The partial hypothesis superimposed in following part final forec...

With the development of design technology, more and advanced diverse wind tunnels have been constructed to match complex requirements. However, it is hard a precise physical model tunnel that can be controlled. In addition, if new designed, experimental data may insufficient build controlling model. This article reports research on following two models: (1) for 0.6 m continuous transonic suppor...

Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NARX networks perform much better than conventional recurrent neural networks for learning certain simple long-term dependency problems. The intuitive explanation for this behavior is that the output memories of a NARX ne...

Nutrients are essential to optimising plant growth. However, the introduction of fertiliser in a hydroponics setup influences pH level nutrient solution. This, turn, could affect plants' growth as many types plants require specific range grow optimally. Conventional cultivation performs adjustment manually – meticulous and error-prone process. Manual solutions is prone estimation errors, partic...