A scientific project conducted by the Faculty of Civil Engineering, University of Zagreb with the Lancaster Environment Centre, Lancaster University that has been fully supported by the “Research Cooperability“ Program of the Croatian Science Foundation funded by the European Union from the European Social Fund under the Operational Programme Efficient Human Resources 2014-2020.
Scientific Projects
SKILLSEA
Technology and digitalisation are transforming the shipping industry. ‘Smart’ ships are coming into service, creating demand for a new generation of competent, highly-skilled maritime professionals. Europe is a traditional global source of maritime expertise and the four-year SKILLSEA project is launched with the aim of ensuring that the region’s maritime professionals possess key digital, green […]
Multi3Generation: Multi-task, Multilingual, Multi-modal Language Generation
Language generation (LG) is a crucial technology if machines are to communicate with humans seamlessly using human natural language. A great number of different tasks within Natural Language Processing (NLP) are language generation tasks, and being able to effectively perform these tasks implies (1) that machines are equipped with world knowledge that can require multi-modal […]
Language guidance tool for improving language knowledge
In line with EU language policy and its efforts to promote mobility and intercultural understanding, language acquisition and multilingualism represent important elements of the EU’s language policy, promoting the knowledge of 2 languages in addition to the mother tongue. In line with the linguistic background of the EU policy the project “LanGuide” is focused on […]
People in Motion: Entangled Histories of Displacement across the Mediterranean (1492-1923)
People in Motion: Entangled Histories of Displacement across the Mediterranean, or PIMo, explores common forms of displacement and dispossession across the Mediterranean from the fifteenth century to the present. With a focus on people – and the ideas, objects, and writing that accompanied them – our goals include evaluating the ways and degree to which these […]
Embedded systems for 3D perception
The main objective of this project is the scientific and practical analysis of a distributed embedded system for 3D perception targeted for people and object tracking through the efficient implementation of new algorithms optimized for execution on embedded systems. The project will enable the mobility of the researchers, ensure continuous research, foster the dissemination of […]
Distant Reading for European Literary History
Grounded in the Distant Reading paradigm (i.e. using computational methods of analysis for large collections of literary texts), the project creates a shared theoretical and practical framework to enable innovative, sophisticated, data-driven, computational methods of literary text analysis across at least 10 European languages. Fostering insight into cross-national, large-scale patterns and evolutions across European literary […]
Digital transformation of society: Legal aspects
Digitalisation transforms and accelerates not only the ways of doing business, but also the ways of thinking. Unprecedented interconnectedness and access in the cyberspace, where everything is available at the touch of a finger, give rise to many issues concerning the transfer and impact of new technologies from the digital world on social relations in […]
Development of machine-learning-based techniques for illness and injury detection in medical images
Clinical decision-support systems are often built by manually gathering, formalising and implementing specialist knowledge. Therefore, they are limited by existing human knowledge concerning modelling clinical conditions, diagnosis and therapy, and can be inaccurate because of variations and complexity inherent to medical data. In order to circumvent these limitations, following an obvious growth of publicly available […]
Data Stream Mining for Smart Cold Chain Management (SmaCC)
As a result of declining natural resources and growing populations, perishable food chains face the challenge of increasing food handling efficiency and minimizing post-harvest damage. The project proposes an SmaCC system based on the application of in-depth data flow analysis procedures for the analysis of sensory stream data. The data is generated by the latest […]
