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 […]
News
Challenges of adaptive coastal voyage planning
Creating an efficient and safe voyage plan is a complex and challenging task. Compliance with safe mandatory voyage planning procedures must be considered alongside shortest distance, sailing time and efficiency. Mentioned factors reflect on decisions in voyage appraisal, planning, execution and monitoring. Decisions in all voyage stages are further influenced by navigational knowledge and experience […]
Two-tier image annotation model based on a multi-label classifier and fuzzy-knowledge representation scheme
Highlights Multi-label classification and knowledge-based approach to image annotation. The definition of the fuzzy knowledge representation scheme based on FPN. Novel data-driven algorithms for automatic acquisition of fuzzy knowledge. Novel inference based algorithms for annotation refinement and scene recognition. A comparison of inference-based scene classification with an ordinary approach.
Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs’ Coefficients
This paper proposes an automatic method for extraction of useful information content from time-frequency distributions of nonstationary signals heavily corrupted by additive noise. The proposed method, which does not require prior knowledge of the signal, initially performs a one-dimensional clustering of the time-frequency distribution aimed at segmenting it into a fixed number of classes. This […]
An experimental methodology for the concurrent characterization of multiple parameters influencing nanoscale friction
A structured transdisciplinary method for the experimental determination of friction in the nanometric domain is proposed in this paper. The dependence of nanoscale friction on multiple process parameters on these scales, which comprise normal forces, sliding velocities, and temperature, was studied via the lateral force microscopy approach. The procedure used to characterize the stiffness of […]
Multi-level image annotation using bayes classifier and fuzzy knowledge representation scheme
In this paper, a model for multi-level image annotation that is performed in two phases is proposed. In the first phase, a Naïve Bayes classifier is used to classify low-level image features into elementary classes. In the second phase, a knowledge representation scheme based on Fuzzy Petri Net is used to expand the level of […]
A knowledge-based multi-layered image annotation system
Highlights A fuzzy-knowledge based intelligent system for multilayered image annotation Novel merged statistical and knowledge-based approach for image interpretation Automatic acquisition of facts and rules about the concepts, and their reliability. Inconsistency checking of image segments classification. Automatic knowledge-based scene recognition and inference of more abstract classes.
Prof. Iven Mareels, Head of the IBM Research Lab, held a talk on the Artificial intelligence – Perspectives: a Brief History, Present Developments, and Future Promises”
Prof. dr. sc. I. Mareels, Head of the IBM Research Lab of Australia, held an invited speech at the Faculty of Engineering on the “Artificial intelligence – Perspectives: a Brief History, Present Developments, and Future Promises” on the 10th of April, 2019. The event took place at the Faculty of Engineering, University of Rijeka (www.riteh.uniri.hr).
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 […]
