The availability of the data has increased tremendously due to excess usage social media platforms like Twitter and Facebook. Due abundant data, scientists, businesses, educationalists other people working under different roles have started using Sentiment Analysis (SA) get in-depth knowledge about sentiments regarding any topic interest. There are many techniques implement SA, one them is Mach...

A multi-principal element alloy (MPEA) is a type of metallic that composed multiple elements, with each making up significant portion the alloy. In this study, initial atomic percentage elements in an (AlFeNiTiVZr)1-xCrx MPEA as function position on surface was investigated using machine learning algorithms. Given absence linear relationship between and their location surface, it not possible t...

fuzzy decision tree (fdt) classifiers combine decision trees with approximate reasoning offered by fuzzy representation to deal with language and measurement uncertainties. when a fdt induction algorithm utilizes stopping criteria for early stopping of the tree's growth, threshold values of stopping criteria will control the number of nodes. finding a proper threshold value for a stopping crite...

assessing seismic hazards involves specifying the likelihood, magnitude and location of earthquakes in a region. predicting the seismic hazards is the first step in reducing the impact of the damage caused by an earthquake.  in this study, to fully utilize all the known parameters which may possibly affect the occurrence of earthquakes (mb ≥ 4.5); a data-driven rule-extraction method called the...

background : data mining has an interdisciplinary field including various scientific disciplines such as: database systems, statistics, machine learning, artificial intelligence and the others. in the field of medical, data mining algorithms can help physicians to diagnose diseases and chose the best type of treatment. hepatocellular carcinoma has the most common type of liver cancer. given the...

Malware classification is a vital component and works together with malware identification to prepare the right and effective malware antidote. Current techniques in malware classification do not give a good classification result while dealing with new as well as unique types of malware. In general, these kinds of malware are highly specialized and very difficult to classify. Therefore, this pa...

INTRODUCTION Multiple early warning scores (EWS) have been developed and implemented to reduce cardiac arrests on hospital wards. Case-control observational studies that generate an area under the receiver operator curve (AUROC) are the usual validation method, but investigators have also generated EWS with algorithms with no prior clinical knowledge. We present a protocol for the validation an...

In order to obtain higher detection probability of the GPS spoofing, a general identification scheme with decision fusion is proposed. Firstly, the singular values of the wavelet transformation coefficients of both spoofing and genuine signal are computed and formed as the feature vectors. Then, the feature vectors are input into three classifiers, which are the support vector machines (SVM), t...

In the diagnosis of late-onset hypogonadism (LOH), the Androgen Deficiency in the Aging Male (ADAM) questionnaire or Aging Males' Symptoms (AMS) scale can be used to assess related symptoms. Subsequently, blood tests are used to measure serum testosterone levels. However, results obtained using ADAM and AMS have revealed no significant correlations between ADAM and AMS scores and LOH, and the r...

Domestic violence (DV) is a global social and public health issue that is highly gendered. Being able to accurately predict DV recidivism, i.e., re-offending of a previously convicted offender, can speed up and improve risk assessment procedures for police and front-line agencies, better protect victims of DV, and potentially prevent future reoccurrences of DV. Previous work in DV recidivism ha...