The Journal of Informational Technology and Applications (JITA) is a scientific journal with an international reach. Its primary goal is to share new ideas, knowledge, and experiences that contribute the development of an information society based on knowledge.Our vision is to become a leading journal that publishes groundbreaking research that advances scientific progress. We invite you to collaborate by submitting original research works related to emerging issues in your field that align with our editorial policies.The journal is published twice a year, in June and December. The deadline for the June issue is April 15th; for the December issue, it is October 15th. After a blind review and evaluation process, authors will be notified of the publishing decision.
Dear Author, please read carefully all texts given on BUM website, especially „Instructions for Authors“. To submit your manuscript please download manuscript template and copyright form. Please attach also a short biography of author(s), max. 200 characters, as a separate MS Word© document. Clicking on „Upload paper“ button will open form to send
The progress of humanity is closely related to the progress of technology. The highlight of the development of technology will occur when the machines are able to do what they learn and know; think and make decisions on their own without human help. In this paper we will try to analyze how neural networks work and how they will further develop in terms of application in advanced databases. We will also explore how one of the major IT companies is developing and continuing to use neural networks.
The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.
The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.
bum@apeiron-edu.eu
+387 (0)51 247 972
Pan European University APEIRON Banja Luka BUM Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
© 2024 Paneuropean University Apeiron All Rights Reserved
bum@apeiron-edu.eu
+387 (0)51 247 972
Pan European University APEIRON Banja Luka BUM Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
© 2024 Paneuropean University Apeiron All Rights Reserved
Pan European University APEIRON Banja Luka BUM Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
bum@apeiron-edu.eu
+387 (0)51 247 972
© 2024 Paneuropean University Apeiron All Rights Reserved