prikaz prve stranice dokumenta Otkrivanje neželjene pošte pomoću neuronskih mreža
  Download
PDF 2.17 MB
master's thesis
Otkrivanje neželjene pošte pomoću neuronskih mreža
2022. urn:nbn:hr:200:780836
Varga, Luka
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Cite this document

Varga, L. (2022). Otkrivanje neželjene pošte pomoću neuronskih mreža (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:780836

Varga, Luka. "Otkrivanje neželjene pošte pomoću neuronskih mreža." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:780836

Varga, Luka. "Otkrivanje neželjene pošte pomoću neuronskih mreža." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:780836

Varga, L. (2022). 'Otkrivanje neželjene pošte pomoću neuronskih mreža', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 02 April 2025, https://urn.nsk.hr/urn:nbn:hr:200:780836

Varga L. Otkrivanje neželjene pošte pomoću neuronskih mreža [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2025 April 02] Available at: https://urn.nsk.hr/urn:nbn:hr:200:780836

L. Varga, "Otkrivanje neželjene pošte pomoću neuronskih mreža", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:780836

Please login to the repository to save this object to your list.
Metadata
TitleOtkrivanje neželjene pošte pomoću neuronskih mreža
Title (english)Spam detection using neural networks
AuthorLuka Varga
MentorČaslav Livada (mentor)
Committee memberČaslav Livada (predsjednik povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
Committee memberTomislav Galba (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2022-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Problem svakodnevnog dobivanja neželjene pošte stvara puno neugodnosti. Približno 84% mailova svaki dan bude prepoznato kao nepoželjna pošta. Ovaj rad bavi se rješenjem tog problema. Rješenje je predstavljeno u obliku neuronske mreže koja je sposobna prepoznati i klasificirati potencijalnu nepoželjnu poštu. Kako bi se napravila mreža, korišteni su Python, TensorFlow, Keras, Google Colaboratory te Jupyter. Rezultati mreže su zadovoljavajući, iznose približno 99% te se mogu usporediti s velikim firmama poput Googlea, Yahooa i sličnih. Ključne riječi: klasifikacija, neuronske mreže, neželjena pošta, strojno učenje
Abstract (english)
The problem of getting spam on a daily basis creates a lot of inconvenience. Approximately 84% of emails are recognized as spam each day. This paper deals with the solution of this problem. The solution is presented in the form of a neural network capable of identifying and classifying potential spam. Python, TensorFlow, Keras, Google Colaboratory and Jupyter were used to create the network. The results of the network are satisfactory, amounting to approximately 99% and can be compared to large companies such as Google, Yahoo !, and others.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:780836
Study programmeTitle: UNIVERSITY STUDY AUTOMOBILE COMPUTER AND COMMUNICATION
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija (magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-10-19 07:46:48