04. 01. 2021.
Members of the Department D. Peraković, M. Periša and I. Cvitić in collaboration with fellow researcher Brij B. Gupta (parent institution: Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, India) published a scientific paper entitled "Ensemble machine learning approach for classification of IoT devices in smart home" in the renowned scientific journal International Journal of Machine Learning and Cybernetics. The scientific paper was published in the Open Access and is available free of charge via the link.
16. 12. 2020.
Within the defined Full Paper Submission Deadline, 48 papers for review were received from co-authors from 12 countries (Bosnia and Herzegovina, Bulgaria, Croatia, Germany, India, Italy, Kenya, Malaysia, North Macedonia, Serbia, Slovakia, USA).
With 2 Keynote presentations, it is already certain that we will have a great presentation program at the Fabulous 2021 conference!
In view of requests for an additional timeframe (COVID-19 situation), EAI and Organizing Committee agreed to ADDITIONALLY EXTEND THE DEADLINE for Full Paper Submission to January 4, 2021.
01. 12. 2020.
Due to numerous requests, the organizers of the 5th EAI International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures - Fabulous 2021 have extended the deadline for Full Paper Submission!
NEW FINAL DEADLINE: 15 December 2020.
More info available at the link.
The Impact of Using Modern Information and Communication Equipment and Services on Driving Safety
Comparative Analysis of Cloud-Based Mobile Applications for Preventive Maintenance in Telecommunications
Aktivnosti i rezultati provođenja projekta Utjecaj korištenja mobilnih uređaja na ponašanje vozača tijekom vožnje
Potential of Cloud Computing in the Transport Sector
B2TWNS – Innovative Model for Travelers with Special Needs
Internet of things concept for informing visually impaired persons in indoor environments
An Overview of the Cyber Security Strategic Management in Republic of Croatia
Network Parameters Applicable in Detection of Infrastructure Level DDoS Attacks
Model for Detection and Classification of DDoS Traffic Based on Artificial Neural Network