Registration is open for the upcoming EuroCC Training Event – High Performance Computing and Industry Applications. This event is organized in alignment with the 28th International Information Technology IEEE Conference IT 2024, traditionally taking place in Žabljak, Montenegro. The workshop is organized in hybrid mode. EuroCC NCC Montenegro is organizing this event in collaboration with NCCs from Cyprus, Slovenia, Turkiye, Romania, Netherlands, and North Macedonia. You can register for the event by clicking on the image below or at this link.
Click on image to register
You can access the draft version of the agenda here. Please note that the Zoom link is made available in the latest Agenda.
Zoom link available here. The workshop starts on 12:45, 22 Feb 2024.
In the period from 21st – 24th of February the international scientific and professional conference “INFORMATION TECHNOLOGIES 2024” will traditionally be hosted in Žabljak. These 28th years in a row scientific and professional conference is organized with the aim of a comprehensive and multidisciplinary view of current and development trends in the field of information and communication technologies.
The conference will be held in the organization of the University of Montenegro – Faculty of Electrical Engineering, University of Donja Gorica – Faculty of Information Systems and Technologies, IT Society Montenegro, University of Belgrade – Faculty of Organizational Sciences, Institute of Electrical and Electronics Engineers – IEEE Association and IEEE Section for Serbia and Montenegro, with full support of the company Čikom from Podgorica.
Click to watch the video announcement (in Montenegrin)
The Conference shall host lectures and round table discussions about development trends in the field of information and communication technologies, as well as actual problems in this field in Montenegro. In agreement with the Organizing Committee of the Conference, interested institutions are invited to organize presentations of their scientific, research, professional, development, and production projects and achievements. Besides mentioned above, papers submitted and reviewed will be presented at the Conference.
We invite all those interested to follow the activities at the Conference online as well, through the video conference access links available on the official website
We are organizing an online training event on Artificial Intelligence and High-performance Computing for real case scenarios. This workshop is designed for academia; scholars, researchers, students, who are interested in learning how to use AI/ML and High-performance Computing in real case scenarios. This will be achieved through five lectures featuring educators from Spain and Montenegro who will present successful case studies. This is a twinning effort by two NCCs.
Agenda for the online training by NCC Montenegro and NCC Spain
EuroCC NCC Montenegro website had over 10,000 visitors and over 25,000 visits during the last year. The number of visits was correlated with the organization of events, publishing od blog posts and announcements on social media. The overall stats since the website launch shows over 22,000 visitors and close to 60,000 visits. This is for the period from Jan 2021.
A resarch paper on forecasting meningitis with machine learning written by B. Dobardzic, A. Alibasic, N. Milosevic, B. Malisic and M. Vukotic just appeared in the Proceedings of the Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) and International Conference on Medical and Biological Engineering (CMBEBIH), September 14–16, 2023, Sarajevo, Bosnia and Herzegovina—Volume 1: Imaging, Engineering and Artificial Intelligence in Healthcareat the following link.
Abstract – Meningitis is a life-threatening disease that can lead to severe neurological damage and death if not diagnosed and treated in a timely manner. In this study, the application of machine learning methods to create a predictive model for meningitis diagnosis based on clinical signs, blood, protein, and other health parameters is explored. Our goal is to determine the most reliable and accurate method of meningitis prediction. We analyze a sizable dataset of meningitis patients using cutting-edge classification techniques, such as Support Vector Machines and Random Forest. Findings have shown that machine learning techniques can accurately estimate a patient’s risk of meningitis. The importance of features for meningitis diagnosis is determined by evaluating them, and the effectiveness of various models is also compared.
Another AI and S3 related project is granted for implementation at UDG. The AI-AGE project proposes the use of machine learning (ML) algorithms and evaluation of state-of-the-art AI tools to train and create prediction models to identify novel non-invasive biomarkers of aging, and increased risk for development of age-related conditions. The idea is to utilize a large dataset of annotated retinal images from the UK Biobank, to explore deep learning (DL) techniques, most commonly based on convolutional neural networks (CNNs), such as U-Net and Res-Net, and transformers, but also to expand the research on the use of ensemble methods that combine ML techniques to improve performance and accuracy.
This project is a result of sustainability efforts by NCC Montenegro team and collaboration betweeb Faculty for information systems at University of Donja Gorica and Faculty of medicine at University of Montenegro.
