In this research, a method of developing a machine model for sentiment processing in the Serbian language is presented. The Serbian language, unlike English and other popular languages, belongs to ...the group of languages with limited resources. Three different data sets were used as a data source: a balanced set of music album reviews, a balanced set of movie reviews, and a balanced set of music album reviews in English—MARD—which was translated into Serbian. The evaluation included applying developed models with three standard algorithms for classification problems (naive Bayes, logistic regression, and support vector machine) and applying a hybrid model, which produced the best results. The models were trained on each of the three data sets, while a set of music reviews originally written in Serbian was used for testing the model. By comparing the results of the developed model, the possibility of expanding the data set for the development of the machine model was also evaluated.
Machine learning (ML) has become an increasingly popular choice of scientific research for many students due to its application in various fields. However, students often have difficulty starting ...with machine learning concepts due to too much focus on programming. Therefore, they are deprived of a more profound knowledge of machine learning concepts. The purpose of this research study was the analysis of introductory courses in machine learning at some of the best-ranked universities in the world and existing software tools used in those courses and designed to assist in learning machine learning concepts. Most university courses are based on the Python programming language and tools realized in this language. Other tools with less focus on programming are quite difficult to master. The research further led to the proposal of a new practical tool that users can use to learn without needing to know any programming language or programming skills. The simulator includes three methods: linear regression, decision trees, and k-nearest neighbors. In the research, several case studies are presented with applications of all realized ML methods based on real problems.
This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the ...best performance of simulation-based feasibility studies on nature-oriented engineering in general and civil engineering in particular. Topics include but are not limited to: Nature-based construction, genomics supporting nature-based construction, earthquake engineering, and other types of geophysical disaster prevention activities, as well as the studies of processes and materials of interest for the above. In all these fields, problems are discussed that generate huge amounts of Big Data and are characterized with mathematically highly complex Iterative Algorithms. In the domain of applications, it has been stressed that problems could be made less computationally demanding if the number of computing iterations is made smaller (with the help of Artificial Intelligence or Conditional Algorithms), or if each computing iteration is made shorter in time (with the help of Data Filtration and Data Quantization). In the domain of computing, it has been stressed that computing could be made more powerful if the implementation technology is changed (Si, GaAs, etc.…), or if the computing paradigm is changed (Control Flow, Data Flow, etc.…).
Abstract
Nowadays, we heavily depend on software, as we utilize it daily. Bugs in the software can cause significant damage, loss of private data and money, and even loss of human lives. Software ...testing and quality assurance discipline, which belongs to the software engineering domain, aims to ensure that the software is good enough before its release to the market. Therefore, it is vital to ensure that software engineers are highly trained in this domain. Unfortunately, this discipline is frequently neglected throughout software engineering courses. Students are mostly taught just the theoretical principles of software testing and gain little practical experience. Additionally, the software testing lectures are considered to be dull, especially if they are not followed by practical tasks where the students could apply learned techniques and gain hands‐on experience. Several tools, games, and collaborative learning environments have been proposed to make the lectures more interesting and increase student engagement. The main goal of this article is to provide a systematic survey of such environments, where each environment was evaluated in terms of major software testing topics covered and the approach used to engage the students.
This paper examines a possible application of Java technology for an
implementation of a software tool for processing and visualization of input
signals originating from a thermal power plant?s ...coal-supply system.
Performance of the tool is evaluated from the aspects of algorithms,
architecture, and scalability. During the evaluation the performance
indicators were CPU and memory load, while varied input signals were sampling
rate and a level of user interaction. All measurements are performed on both
real and synthetic load.
CToday, intelligent systems are used in many fields - medicine, agriculture, transport, telecommunications, industrial process management and control, finance, commerce, the computer game industry ...and many others. This paper describes a complete way to develop an intelligent software system for simulation and visualization of artificial intelligence algorithms. The system includes artificial intelligence algorithms from basic search strategies and game theory, inference algorithms and knowledge representation models, to advanced search techniques, machine and inductive learning. The application of these algorithms to real everyday problems and the application of this software system as an auxiliary tool for analysis of input data and inference in various fields are presented. The system is also applicable to education in an introductory artificial intelligence course at the university, so the last phase of the research involved the transition of the software system into a game-based tool and application of gamification.
This paper presents a software system designed as communication aid for children with disabilities. The system generates digitized speech using a dictionary of symbols in the matrix form, which can ...be extended and modified, as well as the corresponding audio recordings and visual representations of symbols. The creators of this system managed to eliminate the shortcomings of the existing software solutions, namely the lack of flexibility and accessibility, and inability to cater for individual differences. The system is realized as a multiplatform application using Xamarin technology.
This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, ...geosciences, and a number of other related fields. The course derived from this strategy includes four parts: (a) Computing with a selected set of modern paradigms—the stress is on Control Flow and Data Flow computing paradigms, but paradigms conditionally referred to as Energy Flow and Diffusion Flow are also covered; (b) Project management that is holistic—the stress is on the wide plethora of issues spanning from the preparation of project proposals, all the way to incorporation activities to follow after the completion of a successful project; (c) Examples from past research and development experiences—the stress is on experiences of leading experts from academia and industry; (d) Student projects that stimulate creativity—the stress is on methods that educators could use to induce and accelerate the creativity of students in general. Finally, the article ends with selected pearls of wisdom that could be treated as suggestions for further elaboration.
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