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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 ...
Depletion induced bundling of rod-like colloids and simulations of triple helix bundles
(2023-06-01)
We ran molecular dynamics simulations of rod-like colloids acting under depletion forces. In these simulations, we found bundling of the rods above a given strength of the depletion force. We then analyzed the bundle ...
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, ...
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 ...
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 ...
Leveraging vehicular cloud computing through location and request prediction
(2023-04-01)
In recent years, the implementation of Vehicular Ad-hoc networks (VANET) has been acknowledged as a promising solution for monitoring road conditions. Despite the many benefits they can bring to society, the growing demand ...
Towards deep learning models for automatic computer program grading
(2023-04-01)
Automatic grading of computer programs has a great impact on both computer science education and the software industry as it saves human evaluators a tremendous amount of time required for assessing programs. However, to ...
Palatable game development: lessons learned from Foodbot Factory, accessibility, and audio games
(2023-04-01)
To address a lack of serious game work focusing on the development itself, this thesis describes recommendations for developers based on the development of Foodbot Factory, a nutrition-based serious game. Additionally, to ...