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Now showing items 381-390 of 423
TCP congestion control using reinforcement learning
(2022-10-01)
TCP, a transport layer protocol which ensures the reliable delivery of information on the network, is the basis of Internet connectivity, with 85% of the worlds Internet traffic being TCP based. TCP however, is slow to ...
Synthesis, characterization and biological investigation of self-delivering and modified short interfering RNAs (siRNAs)
(2021-07-01)
Aberrant gene expression is a hallmark of disease, so it is of great interest to develop targeted therapies that provide a means to regulate gene expression. The RNA interference pathway serves as a natural defense system ...
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 ...
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 ...
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 ...
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 ...
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 ...