27 citations
- Queensland University of TechnologyAU3 papers
- Beijing Institute of TechnologyCN1 paper
- Commonwealth Scientific and Industrial Research OrganisationAU1 paper
- CSIRO Land and WaterAU1 paper
- Deakin UniversityAU1 paper
- Huazhong Agricultural UniversityCN1 paper
- Thales (Australia)AU1 paper
- Thales (Portugal)PT1 paper
- The University of QueenslandAU1 paper
- The University of SydneyAU1 paper
- University of ColomboLK1 paper
- University of RuhunaLK1 paper
7 papers
A Mixed-Method Empirical Study of LLM Assistance in Software Engineering Workflows
Pamali D. Weerasinghe, Roshan N. Rajapakse, Isuru Dharmadasa +1
Large Language Models (LLMs) are increasingly integrated into software development workflows, yet their effects are often discussed without distinguishing between task types, devel…
Coating Breakdown Prediction for Ships and Inspection Planning
Huy Truong-Ba, Michael E. Cholette, Geoffrey Will +1
Marine corrosion significantly reduces a ship's availability, increases costs of operation and could impact safety. Protective coatings mitigate these risks, but their effectivenes…
F-mode Oscillations of Neutron Stars with Dark Matter from Neutron Decay: Implications for Gravitational-Wave Detectability
Wasif Husain
In this study, the impact of neutron decay into dark matter and various dark matter self-interaction strengths on neutron star properties have been explored. Using the quark-meson…
Robust Deep Signed Graph Clustering via Weak Balance Theory
Peiyao Zhao, Xin Li, Zeyu Zhang +3
Signed graph clustering is a critical technique for discovering community structures in graphs that exhibit both positive and negative relationships. We have identified two signifi…
Physics-Informed Machine Learning for Microscale Drying of Plant-Based Foods: A Systematic Review of Computational Models and Experimental Insights
C. P. Batuwatta-Gamage, H. Jeong, HCP Karunasena +3
This review examines the current state of research on microscale cellular changes during the drying of plant-based food materials (PBFM), with particular emphasis on computational…
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
Xin Hao, Phee Lep Yeoh, Changyang She +2
This paper proposes a blockchain-secured deep reinforcement learning (BC-DRL) optimization framework for {data management and} resource allocation in decentralized {wireless mobile…