Abstract In this work, we systematically evaluate the accuracy in band gap prediction of range-separated hybrid functionals on a large set semiconducting and insulating materials carry out comparisons with performance their global counterparts. We observe that all correctly describe long-range dielectric screening significantly improve upon standard such as PBE0 HSE06. The choice short-range Fo...

Attention-based encoder-decoder neural network models have recently shown promising results in machine translation and speech recognition. In this work, we propose an attention-based neural network model for joint intent detection and slot filling, both of which are critical steps for many speech understanding and dialog systems. Unlike in machine translation and speech recognition, alignment i...

We have constructed a group contribution method for estimating Kováts retention indices by using observed data from a set of diverse organic compounds. Our database contains observed retention indices for over 35,000 different molecules. These were measured on capillary or packed columns with polar and nonpolar (or slightly polar) stationary phases under isothermal or nonisothermal conditions. ...

The monsoon rainfall has very important affect on the agricultural production, livestock as well as human ecology. In this study, try to fit Artificial Neural Network (ANN) model to predict average monsoon rainfall. For the ANN models monthly average rainfall, sea surface temperature, wind speed, monsoon rainfall, temperature is used as inputs to predict the monsoon rainfall. The feed forward n...

Smeed's equation is a widely used model for prediction of traffic fatalities but has been inadequate for use in developing countries. We applied regression analysis to time-series data on vehicles, exponential models for fatality prediction, producing an average absolute error of 20.9% for Qatar, 10.9% for population and traffic fatalities in the United Arab Emirates (UAE), Jordan and Qatar. Th...

This paper describes the implementation of a fast and easy-to-use, intelligence-based algorithm to assess the risk of voltage collapse when risk is defined as the product of the event likelihood and a severity function. In the event likelihood, the effect of weather is taken into account; the failure rate of each transmission line under different weather conditions is calculated using real hist...

World Health Organization (WHO) noted Indonesia as the country with the highest dengue (DHF) cases in Southeast Asia. There are no vaccine and specific treatment for DHF. One of the efforts which can be done by both government and resident is doing a prevention action. In statistics, there are some methods to predict the number of DHF cases to be used as the reference to prevent the DHF cases. ...

This paper analyses the factors affecting heating consumption of a substation. The input parameters neural network prediction model are analysed and selected. average absolute error, percentage mean square error used to evaluate effect model. results show that when maximum outdoor temperature, temperature difference between primary supply return domestic hot water, load in previous three days, ...

Crossing the legs at the knees, during BP measurement, is one of the several physiological stimuli that considerably influence the accuracy of BP measurements. Therefore, it is paramount to develop an appropriate prediction model for interpreting influence of crossed legs on BP. This research work described the use of principal component analysis- (PCA-) fused forward stepwise regression (FSWR)...