Soybean disease has become one of vital factors restricting the sustainable development high-yield and high-quality soybean industry. A hybrid artificial neural network (ANN) model optimized via particle swarm optimization (PSO) algorithm, which is denoted as PSO-ANN, proposed in this paper for diseases identification based on categorical feature inputs. Augmentation dataset created Synthetic m...

Recently Hybrid model approach has led to a tremendous surge in many domains of science and engineering. In this study, we present the advantage ANN improve time series forecasting precision. The Autoregressive Integrated Moving Average (ARIMA) Artificial Neural Network (ANN) models are used separately recognize linear nonlinear components data set respectively. manner, proposed tactically util...

A high penetration of wind energy into the electricity market requires a parallel development of efficient wind power forecasting models. Different hybrid forecasting methods were applied to wind power prediction, using historical data and numerical weather predictions (NWP). A comparative study was carried out for the prediction of the power production of a wind farm located in complex terrain...

The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight (m), and solution concentration (ppm). The main target of this work is to model and evaluate the process of pollutant adsorption from industrial wastewaters using the non-linear multivariate regression and intell...

In this world, people are moving with lightning speed. Stress has become a usual thing we experience in our day to routine. Some factors like work tension, emotional obstacles, brutality, etc lead stress. Many health issues headaches, heart problems, depression, and psychological arise human beings due Music therapy gives qualitative results balancing the physical issues. is an expressive type ...

Forecasting financial markets is an important issue in finance area and research studies. On one hand, the importance of prediction, and on the other hand, its complexity, have led to huge number of researches which have proposed many forecasting methods in this area. In this study, we propose a hybrid model including Wavelet Transform, ARMA-GARCH and Artificial Neural Network (ANN) for single-...