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Agent-based modeling framework for adaptive cyber defence of the Internet of Things
(2022-12-01)
The adoption of the Internet of Things (IoT) continues to increase significantly, introducing unique challenges and threats to cybersecurity. In parallel, adaptive and autonomous cyber defence has become an emerging research ...
Integrated traffic analysis and visualization for future road events
(2023-04-01)
The existing traffic simulation methods are limited to specific synthetic scenarios. In addition, the natural structure of traffic and accident data requires modeling the dependent observations on multiple levels. Therefore, ...
Raising the bar for password crackers: improving the quality of honeywords with deep neural networks
(2022-12-01)
Honeywords are fictitious passwords inserted into databases in order to identify password breaches. Producing honeywords that are difficult to distinguish from actual passwords automatically is a time-consuming and ...
Optimizing relational search with embedded neural network
(2023-04-01)
Our research focuses on a novel method to query relational data. We propose the partial tuple search problem where a user can utilize keyword search to explore complex relational datasets. The challenge of evaluation of ...
Transformer-based models for answer extraction in text-based question/answering
(2023-04-01)
The success of transformer-based language models has led to a surge of research in various natural language processing tasks, among which extractive question-answering/answer span detection, has received considerable ...
Performance assessment of Au SERS substrates prepared by deposition of Au nanoparticles on screen-printed SiO2 particle films
(2023-02-01)
Surface-enhanced Raman spectroscopy (SERS) is a highly studied technique for simple and rapid trace analysis. Screen-printing, a low-cost fabrication method, has been proposed as a reproducible and affordable approach for ...
Metabolic, neurotoxic and immunotoxic effects of PFAAs and their mixtures on the proteome of plasma and head kidney from rainbow trout
(2023-03-01)
PFAAs (Perfluoroalkyl acids) are a class of bioaccumulative, persistent and ubiquitous aquatic contaminants. A paucity of toxicological information exists for short chain PFAAs and PFAA mixtures. In order to address these ...
Subgraph classification through neighborhood pooling
(2023-06-01)
Subgraph classification is an emerging field in graph representation learning where the task is to classify a group of nodes (i.e., a subgraph) within a graph. Graph neural networks (GNNs) are the de facto solution for ...
Scalable subgraph representation learning through simplification
(2023-06-01)
Link prediction on graphs is a fundamental problem. Subgraph representation learning approaches (SGRLs), by transforming link prediction to graph classification on the subgraphs around the links, have achieved state-of-the-art ...
Developing an elevated temperature Pourbaix diagram for zirconium and multi-element Pourbaix diagram of Zircaloy-4
(2023-08-01)
Zirconium and Zircaloy-4 are used in applications that require corrosion resistance under extreme conditions. For example, the fuel bundles in coolant systems of CANDU™ reactors operate between 533 to 583K (260 to 310 °C). ...