Search Results (23)
Diversity of viruses infecting tomato and weed plants in agroecosystems
Viruses, satellite viruses, viroids, virusoids, and satellite nucleic acids (herewith, referred to collectively or in part as ‘viruses’) comprise the virosphere and are perhaps the most diverse and abundant, yet still under-sampled, microbes on Earth. They are primarily regarded as pathogens or parasites of their eukaryotic or prokaryotic hosts. In …
The use of high-throughput sequencing for detection of viral sequences in complex samples from environment and industry
Metagenomics based on high throughput sequencing (HTS) has opened a new era of discovery and genomic characterization of viruses associated with a given host or environment. The search for novel viral sequences provides an excellent opportunity to improve early detection of pathogens, and to predict viral hosts and environmental reservoirs …
Time-efficient method for monitoring electrochemical energy conversion systems
According to the EU’s Green Deal plan, one of the main objectives for the EU is to become a net-zero greenhouse emission society by 2050. Achieving this goal requires advancements across many areas ranging from energy production, conversion, distribution and energy storage where the key role is taken by the …
Optical emission spectroscopy as a tool for monitoring cold atmospheric pressure plasma processes
Non-equilibrium atmospheric pressure plasmas are used in many areas, such as food and agriculture, plasma medicine, plasma surface modification, material synthesis and deposition. Because of their versatility, many plasma setups have been developed. Of greater interest are those that operate at atmospheric pressure, like atmospheric pressure plasma jets (APPJs). Regarding …
Classification of wireless links using machine learning techniques
Due to the nature of the wireless transmission medium, wireless communications are characterised by notably larger losses of data packets than wired communications. The quality of wireless links is highly dependent on channel variations, interference and even transceiver imperfections. Such link uncertainty instigated the development of numerous techniques that can …
Development of novel 3D in vitro cell models for genotoxicity assessment
The determination of genotoxicity is an important element in the safety assessment of various substances, with the purpose of preventing a number of chemicals from affecting human health. Genotoxicity testing is required for all classes of chemicals, drugs and biological agents, which can lead to a wide range of diseases, …
Text mining for cross-domain knowledge discovery
One of the prevailing tendencies in science is research over-specialization, resulting in deep but relatively isolated islands of knowledge. Due to the huge amounts of scientific information produced at an increasingly fast pace, it has become difficult to follow even the specific literature limited to a single domain of specialization. …
Knowledge discovery in a service-oriented data mining environment
The thesis addresses the development of novel knowledge discovery scenarios in a modern data mining platform by utilising principles of service-oriented architecture with web services, interactive scientific workflows, knowledge discovery ontologies and automated construction of data mining workflows. We present the developed Orange4WS platform which upgrades Orange, a mature open-source …
A Modular Ontology of Data Mining
The domain of data mining (DM) deals with analyzing different types of data. The data typically used in data mining is in the format of a single table, with primitive datatypes as attributes. However, structured (complex) data, such as graphs, sequences, networks, text, image, multimedia and relational data, are receiving …
Parameter Identification in Nonlinear Dynamic Systems with Meta-heuristic Approaches
The task of mathematical modeling of dynamic systems from observed system behavior, widely known under the name of system identification, breaks down into two subtasks. The first task, referred to as structure identification, is to specify the model structure, i.e., the functional form of the model. In practice, the model …