Guaranteeing fair competition has been a guiding principle of Union action since the beginnings of the European Economic Community. Anti-competitive activities in the internal market, such as agreements between undertakings, decisions by associations of undertakings and concerted practices which may affect trade between Member States and which have as their object or effect the prevention, […]
News
Nino Krvavica held an interesting presentation on “Is There a Place for AI in Civil Engineering?”
Assit. prof. dr. sc. Nino Krvavica held an interesting presentation on “Is there a place for AI in civil engineering?” with the presentation of his recent scientific work and open problems in civil engineering which can be solved using ML.
International Conference on Human-Computer Interaction (HCII 2020)
Alen Salkanović presented a paper titled “Floating Hierarchical Menus for Swipe-Based Navigation on Touchscreen Mobile Devices”, at the 22nd International Conference on Human-Computer Interaction (HCII 2020). As a result of the COVID-19 pandemic, the conference could not be held physically (originally scheduled for Copenhagen, Denmark) and was transformed to a virtual format instead. https://doi.org/10.1007/978-3-030-49062-1_34
A supervised machine learning approach to a predictive model of nanoscale friction
Modelling of nanoscale friction presents a long-lasting challenge. In fact, while there are several generalised models that provide good results for macro- and micro-scale friction, due to the complex concurrent physicochemical interactions in nanoscale contacts, when modelling nanoscale friction there is a clear lack of reliable predicting tools. The modelling methodology proposed in this work […]
Bottom-Up Design Approach for OBOC Peptide Libraries
AI RESIDENCIES
The Goethe-Institut engages in intercultural exchange and interdisciplinary discourse within a global context. With the AI Residency Programme we aim to initiate both a dialogue between art and technology and a dialogue reaching beyond the borders of European countries. The programme aims to promote artistic access to developments in the field of artificial intelligence. Art […]
Evaluation of Design Storms and Critical Rainfall Durations for Flood Prediction in Partially Urbanized Catchments
This study investigates and compares several design storms for flood estimation in partially urbanized catchments. Six different design storms were considered: Euler II, Alternating Block Method, Average Variability Method, Huff’s curves, and uniform rainfall. Additionally, two extreme historical storms have been included for comparison. A small, ungauged, partially urbanized catchment in Novigrad (Croatia) was chosen […]
Thermal Object Detection in Difficult Weather Conditions Using YOLO
The scientific article “Thermal Object Detection in Difficult Weather Conditions Using YOLO” by M. Kristo, M. Ivašić-Kos, M. Pobar was published in journal IEEE Access, 2020, vol. 8, 125459-125476, DOI: 10.1109/ACCESS.2020.3007481 and is available online.
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification
Scene classification relying on images is essential in many systems and applications related to remote sensing. The scientific interest in scene classification from remotely collected images is increasing, and many datasets and algorithms are being developed. The introduction of convolutional neural networks (CNN) and other deep learning techniques contributed to vast improvements in the accuracy […]
Multilayer Framework for the Information Spreading Characterization in Social Media during the COVID-19 Crisis (InfoCoV)
Communication through social media has been gaining importance in responses to major crises, such as COVID-19. In emergency situations, there is an urgent need to rely on trustworthy information. On the other side, we are all witnessing a huge amount of misinformation (fake news, conspiracy theories) also spreading on social media, especially during a crisis. […]
