Stock market forecasting is important and interesting, because the successful prediction of stock prices may promise attractive benefits. The economy of Taiwan relies on international trade deeply, and the fluctuations of international stock markets will impact Taiwan stock market. For this reason, it is a practical way to use the fluctuations of other stock markets as forecasting factors for f...

Abstract In a flood-prone region, quick and accurate flood forecasting is imperative. It can extend the lead time for issuing disaster warnings and allow sufficient time for habitants in hazardous areas to take appropriate action, such as evacuation. In this paper, two hybrid models based on recent artificial intelligence technology, namely, genetic algorithm-based artificial neural network (AN...

This research looked into the viability of using metaheuristic algorithms in conjunction with an adaptive neurofuzzy system to predict seismicity and earthquakes. Different have been combined artificial intelligence (AI) algorithm. Subjected is a promising factor. The new sensors many advantages over older, more impressive-looking ones, including (a) generally linear relationship between measur...

ANFIS-type algorithms have been used in various modeling and simulation problems. With the help of with more accuracy adaptability, it is possible to obtain better real-life emulating models. A critical environmental problem discharge saline industrial effluents form buoyant jets into water bodies. Given potentially harmful effects from desalination plants on marine environment coastal ecosyste...

This work presents a method based on an adaptive neuro-fuzzy inference system (ANFIS) for modeling protein secondary structure prediction which aims at acquiring the unknown structure information of target protein directly from its sequence data which is available. The number of input variables and inference rules are commonly too large, sometimes even huge, to make the model building feasible....

A Mobile Ad hoc NETwork (MANET) is a group of mobile nodes that rely on wireless network interfaces, without the use fixed infrastructure or centralized administration. In this respect, these networks are very susceptible to numerous attacks. One attacks black hole attack and it considered as one most affected kind MANET. Consequently, an Intrusion Detection System (IDS) has major importance in...

To achieve a more sustainable supply of electricity and reduce dependency on fuels, the application renewable energy sources-based distribution systems (DS) is stimulating. However, intermittent nature sources reduces overall inertia power system, which in turn seriously affects frequency stability system. A virtual synchronous generator can provide inertial response support to DS. existing act...