A novel topological approach for obtaining a family of new molecular descriptors is proposed. In this connection, a vector space E (molecular vector space), whose elements are organic molecules, is defined as a “direct sum” of different R i spaces. In this way we can represent molecules having a total of i atoms as elements (vectors) of the vector spaces R i (i=1, 2, 3,..., n; where n is number...

There are several methods used for the classification problems. many different kinds of fields that can be used. Nowadays, Support Vector Machine (SVM) is a popular method has been proposed by researchers. Using same but distribution creating training and testing data in dataset yield varying results terms prediction accuracy, which crucial classification. In this paper, we compare accuracy bet...

speech emotion recognition (ser) is a new and challenging research area with a wide range of applications in man-machine interactions. the aim of a ser system is to recognize human emotion by analyzing the acoustics of speech sound. in this study, we propose spectral pattern features (sps) and harmonic energy features (hes) for emotion recognition. these features extracted from the spectrogram ...

Diabetes is a chronic disease. In 2019, it was the ninth leading cause of death with an estimated 1.5 million deaths. Poorly controlled, diabetes can lead to serious health problems. That explains why early diagnosis very important. Several approaches that use Artificial Intelligence, specifically Deep Learning, have been widely used promising results. The contribution this paper in two-folds: ...

In this article, we consider cross-validation of the quantitative structure-property relationship models for reactions and show that conventional k-fold (CV) procedure gives an ‘optimistically’ biased assessment prediction performance. To address issue, suggest two strategies model cross-validation, ‘transformation-out’ CV, ‘solvent-out’ CV. Unlike approach does not nature objects, proposed pro...

Reliable estimation of the porous membranes neck-pore size distribution (NPSD) is the key element in the design and operation of all membrane separation processes. In this paper, a new approach is presented for reliable of NPSD of porous membranes using wet flow-state bubble point test data. For this purpose, a robust method based on the linear regularization theory is developed to extract NPSD...

Information security and Intrusion Detection System (IDS) plays a critical role in the Internet. IDS is an essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality and system availability against possible threats. In this paper, a hybrid approach towards achieving high performance is proposed. In fact, the important goal of this paper ...

Objectives The objective of the study was to create an interpretive categorical classification for transition in Oxford Knee Score (OKS) change score (?OKS) using anchor-based method. Study Design and Setting Registry data from 46,094 total knee replacements year 2014/15, were accessed via Health Social Care Information Center official website. Data included preoperative 6-month follow-up OKS r...

MOTIVATION Membrane transport proteins play a crucial role in the import and export of ions, small molecules or macromolecules across biological membranes. Currently, there are a limited number of published computational tools which enable the systematic discovery and categorization of transporters prior to costly experimental validation. To approach this problem, we utilized a nearest neighbor...

Congestive heart failure (CHF) occurs when the heart is unable to provide sufficient pump action to maintain blood flow to meet the needs of the body. Early diagnosis is important since the mortality rate of the patients with CHF is very high. There are different validation methods to measure performances of classifier algorithms designed for this purpose. In this study, k-fold and leave-one-ou...