Select Publications
By Dr Tim Lynar
Conference Papers
, 2009, 'Why decide: Is a user's estimation of job completion time useful in grid resource allocation?', in 18th World Imacs Congress and Modsim 2009 International Congress on Modelling and Simulation Interfacing Modelling and Simulation with Mathematical and Computational Sciences Proceedings, pp. 1031 - 1037
, 2008, 'Implementing an agent based auction model on a cluster of re-used workstations', in 5th International Conference on Information Technology and Applications Icita 2008, pp. 642 - 646
, 2007, 'Implementing an agent based auction model on a cluster of inexpensive heterogenous workstations', in Modsim07 Land Water and Environmental Management Integrated Systems for Sustainability Proceedings, pp. 1947 - 1953
Preprints
, 2025, Are GNNs Worth the Effort for IoT Botnet Detection? A Comparative Study of VAE-GNN vs. ViT-MLP and VAE-MLP Approaches, http://dx.doi.org/10.48550/arxiv.2505.17363
, 2025, Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction, http://dx.doi.org/10.48550/arxiv.2505.17357
, 2025, Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning, http://dx.doi.org/10.48550/arxiv.2504.18819
, 2025, Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets, http://dx.doi.org/10.48550/arxiv.2505.01437
, 2025, IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic, http://dx.doi.org/10.48550/arxiv.2504.18781
, 2025, Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder, http://dx.doi.org/10.48550/arxiv.2504.14879
, 2020, Investigating two super-resolution methods for downscaling precipitation: ESRGAN and CAR, http://dx.doi.org/10.48550/arxiv.2012.01233
, The Nature and Costs of Civil Aviation Flight Training Safety Occurrences, http://dx.doi.org/10.2139/ssrn.4191514