output
20162026
most citedSecure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks

27 citations

10 papers

cs.SE2026

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…

stat.AP2026★ 1 cited

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…

hep-ph2025★ 4 cited

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…

cs.SI2025★ 4 cited

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…

cs.LG2025★ 2 cited

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…

cs.LG2023★ 27 cited

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…

stat.AP2023★ 8 cited

Beyond expected values: Making environmental decisions using value of information analysis when measurement outcome matters

Morenikeji D. Akinlotan, David J. Warne, Kate J. Helmstedt +5

In ecological and environmental contexts, management actions must sometimes be chosen urgently. Value of information (VoI) analysis provides a quantitative toolkit for projecting t…

econ.GN2020★ 4 cited

Exploring investor behavior in Bitcoin: a study of the disposition effect

Jürgen E. Schatzmann, Bernhard Haslhofer

Investors commonly exhibit the disposition effect - the irrational tendency to sell their winning investments and hold onto their losing ones. While this phenomenon has been observ…

cs.LG2018★ 1 cited

GANE: A Generative Adversarial Network Embedding

Huiting Hong, Xin Li, Mingzhong Wang

Network embedding has become a hot research topic recently which can provide low-dimensional feature representations for many machine learning applications. Current work focuses on…

physics.ed-ph2016★ 3 cited

Gender gap and polarisation of physics on global courses

Allan L. Alinea, Wade Naylor

We extend on previous research on the Force Concept Inventory (FCI) given to first year classical mechanics students (N=66 students, over four years) pre and post score, for studen…