Predicting trends in the stock market is becoming complex and uncertain. In response, various artificial intelligence solutions have emerged. A significant solution for predicting of a stock’s volatile chaotic nature drawn from deep learning. The present study’s objective to compare predict closing price NIFTY 50 index through two learning methods—long short-term memory (LSTM) backward eliminat...

BACKGROUND Automatic stepwise subset selection methods in linear regression often perform poorly, both in terms of variable selection and estimation of coefficients and standard errors, especially when number of independent variables is large and multicollinearity is present. Yet, stepwise algorithms remain the dominant method in medical and epidemiological research. METHODS Performance of st...

Background: Models of codon evolution have proven useful for investigating the strength and direction of natural selection. In some cases, a priori biological knowledge has been used successfully to model heterogeneous evolutionary dynamics among codon sites. These are called fixed-effect models, and they require that all codon sites are assigned to one of several partitions which are permitted...

Model Selection is a task selecting set of potential models. This method is capable of establishing hidden semantic relations among the observed features, using a number of latent variables. In this paper, the selection of the correct number of latent variables is critical. In the most of the previous researches, the number of latent topics was selected based on the number of invoked classes. T...

Identifying specific hot spot residues that contribute significantly to the affinity and specificity of protein interactions is a problem of the utmost importance. We present an interactive web server, PredHS, which is based on an effective structure-based hot spot prediction method. The PredHS prediction method integrates many novel structural and energetic features with two types of structura...

It is increasingly accepted globally, that many food-borne diseases are associated with climate change. The goal of the present research to investigate whether changes in annual number registered Hungary can be correlated any parameter, as it reasonable suppose linked Ten parameters and indices were examined potential influencing factors. A multiple linear regression model was employed, using b...

quadruped robots have unique capabilities for motion over uneven natural environments. this article presents a stable gait for a quadruped robot in such motions and discusses the inverse-dynamics control scheme to follow the planned gait. first, an explicit dynamics model will be developed using a novel constraint elimination method for an 18-dof quadruped robot. thereafter, an inverse-dynamics...

The plethora of different subfields in intelligent tutoring systems (ITS) are often difficult to integrate theoretically when analyzing how to design an intelligent tutor. Important principles of design are claimed by many subfields, including but not limited to: design, human-computer interaction, perceptual psychology, cognitive psychology, affective and motivation psychology, statistics, art...