Browse Items (46 total)

Abstract –With the increasing number of users and data on the Internet, especially social media sites,
sentiment analysis topic became one of the important and essential fields for most. Collection of
people's feelings and sentiment and classifying…

Abstract - In the past decade transportation systems have been augmented with information and communication technology to provide innovative services to the participants in the traffic. This synergy has resulted in safer and more optimized…

In recent years IPTV (Internet Protocol Television) platforms are becoming one of the most popular entertainment multimedia services which are used to serve movies, tv-series and other video and audio attractive content using the Internet Protocol.…

Based on previous research on energy efficiency of the buildings, particularly their cooling
load capabilities we will develop a collection of machine learning methods for detecting buildings
with best cooling load capabilities. This collection…

Cardiovascular diseases are known to be treated with anticoagulants lifelong. Warfarin is one of the most commonly used medications for anticoagulation despite causing serious side effects in some patients. Different single nucleotide polymorphisms…

Homicide rates are still high in the world and they are the worst crime in human existence. Despite all the technological advances and usage of information by various agencies, the number of homicides is not decreasing. Homicide prediction in certain…

Abstract – Modern Bosnia and Herzegovina is a state consisting of multiple ethnicities and regions
located in the Western Balkan, with a very complex history. The earliest historical findings show that
its area was inhabited since the Paleolithic.…

Abstract - For efficient power flow in the distribution system, one of the most important components is the accurate loss and voltage deviation minimization. This work gives an insight into the minimization process of the loss and voltage deviation…

K-means and hierarchical clustering algorithms are employed to cluster genes according to the gene expression to determine the harming level of the genes in brain cancer. The gene expression data with a control group from The Cancer Genome Atlas…

This paper represents an overview of Machine Learning techniques used in Autism Spectrum
Disorder - ASD diagnosis. ASD is detected based on behavioral screening which is time consuming and
can only be taken by a medical professional. The idea is to…