Ali Smith’s Autumn]]> Learning and Intercultural Education]]> language]]> language]]> Pandemic: From the Erosion of the Nation –
State to the Crisis of the Global Society]]> praksi Bosne i Hercegovine]]> sentiment analysis topic became one of the important and essential fields for most. Collection of
people's feelings and sentiment and classifying the data attracted most businesses and companies.
Recently, twitter sentiment analysis has attracted much attention, because of Twitter's growth and
popularity. The solution for handling enormous amounts of data from social media is a new term
called Big data. Big data is not just for having a large amount of data, but also the importance of
processing and the usage of the data.]]> located in the Western Balkan, with a very complex history. The earliest historical findings show that
its area was inhabited since the Paleolithic. From that time, this part of Europe, especially the region
of the Modern Bosnia and Herzegovina, could be recognized as the crossroad for the different human
migration and the meeting point for different cultures, religions and gene pools. Mitochondrial DNA
is being used for maternal lineage testing, while the Y chromosome is being used for paternal lineage
testing. Therefore, these markers are being referred to as lineage markers. Lineage markers are often
used for parental lineage monitoring in population genetics, human genetics, as well as in forensic
genetics. The main intention of this paper is to construct a short overview of the Y chromosome
studies performed in Bosnia and Herzegovina within the last two decades.]]> role in student success, as well as in the overall interest of the matter. The most productive way of
increasing the student attendance rate is to understand why it decreases, try to predict when it is
going to happen, and act on causing factors in order to prevent it. Many benefits of predicted and
increased attendance rate can be achieved, including better lecture organization (i.e. lecture time and
duration, lecture class choice, etc). This paper describes the steps in the extraction of knowledge from
the university's student database and making a model that predicts whether the student will attend
the class or not. Results show that the attendance patterns are best reflected when employing a
decision tree algorithm, a C4.5 model that is interpretable and able to predict the attendance with
0.81 AUC performance measure]]> within IoT systems based on YANG]]> network management protocol, the Network Configuration Protocol (NETCONF), within IoT
systems based on YANG is presented. The practical realization of this idea requires the
implementation of the NETCONF protocol together with REpresentational State Transfer web
services (RESTful). Such an interesting and innovative practical realization like this opens new
additional possibilities in domotics systems and these possibilities will be discussed in this paper.]]> machine learning]]> load capabilities we will develop a collection of machine learning methods for detecting buildings
with best cooling load capabilities. This collection will study the influence of 8 input variables (relative
compactness, surface area, wall area, roof area, overall height, orientation, glazing area, glazing area
distribution) on one output parameter, that is cooling load of buildings. The results of this study
support the practicability of using machine-learning software to estimate building parameters as a
convenient and accurate approach, as long as the methods chosen are well suited for the type of data
in question.]]>