Survey on SDN based network intrusion detection system using machine learning approaches N Sultana, N Chilamkurti, W Peng, R Alhadad Peer-to-Peer Networking and Applications 12 (2), 493-501, 2019 | 642 | 2019 |
Practical cryptography: algorithms and implementations using C++ S Azad, ASK Pathan Practical cryptography: algorithms and implementations using C++, Asymmetric
, 2014 | 38 | 2014 |
Learning to optimise general TSP instances N Sultana, J Chan, T Sarwar, AK Qin International Journal of Machine Learning and Cybernetics 13 (8), 2213-2228, 2022 | 27 | 2022 |
Survey on SDN based network intrusion detection system using machine learning approaches. Peer-to-Peer Netw Appl 12 (2): 493501 N Sultana, N Chilamkurti, W Peng, R Alhadad | 10 | 2019 |
Learning to optimise routing problems using policy optimisation N Sultana, J Chan, T Sarwar, AK Qin 2021 international joint conference on neural networks (IJCNN), 1-8, 2021 | 9 | 2021 |
Survey on SDN based network intrusion detection system using machine learning approaches. Peer-to-Peer Netw. Appl. 12 (2), 493501 (2019) N Sultana, N Chilamkurti, W Peng, R Alhadad | 5 | |
Learning enhanced optimisation for routing problems N Sultana, J Chan, T Sarwar, B Abbasi, AK Qin arXiv preprint arXiv:2109.08345, 2021 | 4 | 2021 |
Learning vehicle routing problems using policy optimisation N Sultana, J Chan, AK Qin, T Sarwar arXiv preprint arXiv:2012.13269, 2020 | 4 | 2020 |
A hybrid cardiovascular arrhythmia disease detection using ConvNeXt-X models on electrocardiogram signals MA Talukder, M Khalid, M Kazi, NJ Muna, M Nur-e-Alam, S Halder, ... Scientific Reports 14 (1), 1-20, 2024 | 2 | 2024 |
Study of a new link layer security scheme in a wireless sensor network N Sultana, T Ahmed, ABM Hossain AIUB Journal of Science And Engineering (AJSE) ISSN 1608-3679 10 (1), 79-86, 2012 | 2 | 2012 |
Learning to Guide Local Search Optimisation for Routing Problems N Sultana, J Chan, B Abbasi, T Sarwar, AK Qin Operations Research Letters, 107136, 2024 | 1 | 2024 |
Using Explainable and Interpretable Artificial Intelligence Methods to Identify and Understand Factors Affecting Resilience MS Kamal, N Sultana, RHL Ip, M Bewong, MZ Islam, A Rahman Available at SSRN 4633354, 2023 | 1 | 2023 |
Sample-efficient, exploration-based policy optimisation for routing problems N Sultana, J Chan, T Sarwar, AK Qin arXiv preprint arXiv:2205.15656, 2022 | 1 | 2022 |
A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction MA Talukder, M Khalid, N Sultana Scientific Reports 15 (1), 4617, 2025 | | 2025 |
Advancing Personal Well-Being Analysis through the Integration of Instance-Based Learning with Interpretable AI Techniques MS Kamal, N Sultana, M Bewong, RHL Ip, MZ Islam, A Rahman | | 2024 |
Early Insights for More Resilient Communities: Final project report K Brown, G Amorsen, J Schirmer, M Amirghasemi, M Bewong, HL Ip, ... Southern NSW Drought Resilience Adoption and Innovation Hub/CSU, 2024 | | 2024 |
Non-invasive Endothelial Shear Stress Estimates Using CT-Derived Coronary Haemodynamics J Chan, A Comella, H Thakkar, A Ihdayhid, S Tan, N Sultana, M Azimi, ... Heart, Lung and Circulation 32, S247, 2023 | | 2023 |
Learning to Optimise Routing Problems using Deep Neural Networks N Sultana RMIT University, 2022 | | 2022 |
Solving Travelling Salesman Problems with Transfer Learning N Sultana Workshop on AI-based Optimisation (The University of Melbourne), 2019 | | 2019 |