http://hdl.handle.net/20.500.14044/39601 2026-07-26T01:52:35Z http://hdl.handle.net/20.500.14044/30306 Lágy számítás alkalmazása ellenőrzés területén Péczka, Polett The use of soft computing methods is very versatile. It plays a very important role in artificial intelligence, but it can also be used in much simpler ways. My aim was to show the so-called everyday side of this knowledge in engineering, so I will demonstrate the application of neural networks through a verification example.; Lágy számítási módszerek felhasználása nagyon sokoldalú. A mesterséges intelligenciában nagyon jelentős szerepet tölt be, de ennél sokkal egyszerűbben is fel lehet használni. Célom volt, hogy a műszaki életben úgymond mindennapi oldalát is bemutassam ennek az ismeretnek, így egy ellenőrzési példán keresztül mutatom be az alkalmazását a neurális hálózatoknak. 2024-02-27T00:00:00Z http://hdl.handle.net/20.500.14044/30303 Usage of Fuzzy Logic and Machine Learning in Web Development Čović, Zlatko This paper presents the possibility of using fuzzy logic and machine learning in web developmentwith PHP programming language. Fuzzy logic and machine learning foundtheir applications in various fields of web development. The Python programming language is one of the most popular for developing applications that utilize fuzzy logic and machine learning. When it comes to integrated web systems using some form of AI, it's common to see the AI module implemented using the Python programming language, while the rest of the system is written using other programming languages and technologies. API endpoints are created for data exchange among differentlanguages within such systems.PHP, as a server-side programming language, is used on over 75% of websites, according to the W3Techs report. The work briefly describes the most popular libraries in the PHP programming language that are used for applying fuzzy logic and machine learning. Implementation requirements and basic features are listed. 2024-02-27T00:00:00Z http://hdl.handle.net/20.500.14044/30301 Fuzzy Logic - Based control for autonomous vehicles in urban environments(application description) Trubljanin, Enisa Fuzzy logic is a mathematical approach used to model uncertainty in decision-making processes. Fuzzy logic has been widely applied in fields where uncertainties are encountered, such as automatic control, artificial intelligence, shape recognition system, robotics and other fields. Autonomous vehicles are vehicles that are able to move and function without the direct control of the driver. This paper shows how fuzzy logic makes decisions, what are the advantages and disadvantages of such a driving system in urban areas, the results of fuzzy logic "inference" and how fuzzy logic makes decisions instead of humans on the basis of forwarded information from the environment, and specifically the focus is on making decisions about speed and registering obstacles. These results are quite good, but it turns out that they still cannot completely replace humans, especially when it comes to some ethical issues. 2024-02-07T00:00:00Z http://hdl.handle.net/20.500.14044/30299 Mathematical models of tumor growth Medojević, Sara Cancer is one of the deadliest diseases, therefore it is necessary to develop tools that will be useful in the decision-making process. One of those are mathematical models that are used to predict the growth of tumors and the changes that occur as a result of radiation. The determination of the most suitable model is based on the type of tumor. The models presented in this paper are based on ordinary differential equations. Gompertz model is presented as a model that originated from the generalized two-parameter model. Although the Gompertz model is used for determining tumor volume, in this paper it is shown how it can be used to determine the maximum volume of a tumor. The second model presented in this paper is the kinetic model. Kinetic model is used for showing changes in cancer volume before, during and after the active radiation effect. In addition, it can be used for comparing the affect of different radiation doses. The Gompertz model is applied to a benign tumor (meningioma), while the kinetic model is applied to a malignant tumor (hepatocellular carcinoma). As observing the volume at a certain time span implies solving a system of ordinary differential equations, proposed models are written in the form of codes in MATLAB. 2024-02-27T00:00:00Z