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View article: A Domain-Adaptive Deep Learning Approach for Microplastic Classification
A Domain-Adaptive Deep Learning Approach for Microplastic Classification Open
Microplastics pose a growing environmental concern, necessitating accurate and scalable methods for their detection and classification. This study presents a novel deep learning framework that integrates a transformer-based architecture wi…
View article: Towards AI-Based Strep Throat Detection and Interpretation for Remote Australian Indigenous Communities
Towards AI-Based Strep Throat Detection and Interpretation for Remote Australian Indigenous Communities Open
Streptococcus pharyngitis (strep throat) poses a significant health challenge in rural and remote Indigenous communities in Australia, where access to medical resources is limited. Delays in diagnosis and treatment increase the risk of ser…
View article: Improving Text-Independent Forced Alignment to Support Speech-Language Pathologists with Phonetic Transcription
Improving Text-Independent Forced Alignment to Support Speech-Language Pathologists with Phonetic Transcription Open
Problem: Phonetic transcription is crucial in diagnosing speech sound disorders (SSDs) but is susceptible to transcriber experience and perceptual bias. Current forced alignment (FA) tools, which annotate audio files to determine spoken co…
View article: Improved Short-term Dense Bottleneck network for efficient scene analysis
Improved Short-term Dense Bottleneck network for efficient scene analysis Open
Visual scene understanding mainly depends on pixel-wise classification obtained from a deep convolutional neural network. However, existing semantic segmentation models often face difficulties in real-time applications due to their large n…
View article: Clinical free text to HPO codes
Clinical free text to HPO codes Open
Leveraging Artificial Intelligence (AI) within the rare disease diagnostic odyssey can facilitate a decrease in diagnostic times and an increase in diagnostic rates. Among the steps involved in the odyssey, this project focused on utilizin…
View article: Multi-Encoder Context Aggregation Network for Structured and Unstructured Urban Street Scene Analysis
Multi-Encoder Context Aggregation Network for Structured and Unstructured Urban Street Scene Analysis Open
Developing computationally efficient semantic segmentation models that are suitable for resource-constrained mobile devices is an open challenge in computer vision research. To address this challenge, we propose a novel real-time semantic …
View article: Green Multistage Upgrade of Switches and Controllers for Bundled-Links SDNs
Green Multistage Upgrade of Switches and Controllers for Bundled-Links SDNs Open
The switches in legacy networks perform both control and data forwarding operations. In contrast, in a software defined network (SDN), a controller is responsible for network control and each SDN-switch (-switch) only forwards data packets…
View article: Multi-Path Routing in Green Multi-Stage Upgrade for Bundled-Links SDN/OSPF-ECMP Networks
Multi-Path Routing in Green Multi-Stage Upgrade for Bundled-Links SDN/OSPF-ECMP Networks Open
This paper considers the novel problem of upgrading a legacy network into a Software Defined Network (SDN) over multiple stages and saving energy in the upgraded network, or hybrid SDN. That is, in each stage, the problem at hand is to sel…
View article: Using distribution analysis for parameter selection in repstream
Using distribution analysis for parameter selection in repstream Open
One of the most significant challenges in data clustering is the evolution of the data distributions over time. Many clustering algorithms have been introduced to deal specifically with streaming data, but common amongst them is that they …
View article: Interpreting Text and Image Relations in Violent Extremist Discourse: A Mixed Methods Approach for Big Data Analytics
Interpreting Text and Image Relations in Violent Extremist Discourse: A Mixed Methods Approach for Big Data Analytics Open
This article presents a mixed methods approach for analysing text and image relations in violent extremist discourse. The approach involves integrating multimodal discourse analysis with data mining and information visualisation, resulting…
View article: Achieving stable subspace clustering by post-processing generic clustering results
Achieving stable subspace clustering by post-processing generic clustering results Open
We propose an effective subspace selection scheme as a post-processing step to improve results obtained by sparse subspace clustering (SSC). Our method starts by the computation of stable subspaces using a novel random sampling scheme. Thu…