A drive-by bridge inspection framework using non-parametric clusters over projected data manifolds P Cheema, MM Alamdari, KC Chang, CW Kim, M Sugiyama Mechanical Systems and Signal Processing 180, 109401, 2022 | 23 | 2022 |
Infinite mixture models for operational modal analysis: An automated and principled approach P Cheema, MM Alamdari, GA Vio, FL Zhang, CW Kim Journal of Sound and Vibration 491, 115757, 2021 | 22 | 2021 |
On structural health monitoring using tensor analysis and support vector machine with artificial negative data P Cheema, NLD Khoa, M Makki Alamdari, W Liu, Y Wang, F Chen, ... Proceedings of the 25th ACM international on conference on information and …, 2016 | 15 | 2016 |
Experimental validation of polynomial chaos theory on an aircraft t-tail P Cheema, DJ Munk, NF Giannelis, GA Vio 18th AIAA Non-Deterministic Approaches Conference, 0953, 2016 | 12 | 2016 |
Multi-particle swarm optimization used to study material degradation in aeroelastic composites including probabalistic uncertainties A Vishwanathan, P Cheema, G Vio 2017 IEEE Congress on Evolutionary Computation (CEC), 2458-2464, 2017 | 9 | 2017 |
A non-intrusive polynomial chaos method to efficiently quantify uncertainty in an aircraft t-tail P Cheema, GA Vio Applied Mechanics and Materials 846, 512-517, 2016 | 8 | 2016 |
Development of a Control and Vision Interface for an AR. Drone P Cheema, S Luo, P Gibbens MATEC Web of Conferences 56, 07002, 2016 | 6 | 2016 |
Double Descent Risk and Volume Saturation Effects: A Geometric Perspective P Cheema, M Sugiyama arXiv preprint arXiv:2006.04366, 2020 | 5* | 2020 |
Bridge indirect monitoring using Uniform Manifold Approximation and Projection (UMAP) P Cheema, MM Alamdari, KC Chang, CW Kim, M Sugiyama Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and …, 2022 | 2 | 2022 |
New approaches to inverse structural modification theory using random projections P Cheema, MM Alamdari, GA Vio Topics in Modal Analysis & Testing, Volume 8: Proceedings of the 37th IMAC …, 2020 | 2 | 2020 |
A tensor-based structural health monitoring approach for aeroservoelastic systems P Cheema, K Nguyen, M Kidd, GA Vio AIAA Scitech 2019 Forum, 1964, 2019 | 2 | 2019 |
Bayesian Inferencing on an Aircraft T-Tail Using Probabilistic Surrogates and Uncertainty Quantification P Cheema, G Mathews, GA Vio AIAA Journal 56 (3), 1185-1197, 2018 | 2 | 2018 |
Robust optimisation of time-varying aeroelastic composite structures using multi-particle swarm optimization A Vishwanathan, P Cheema, GA Vio 17th Australian International Aerospace Congress: AIAC, 599, 2017 | 2 | 2017 |
On the use of matrix profiles and optimal transport theory for multivariate time series anomaly detection within structural health monitoring P Cheema, MM Alamdari, G Vio, L Azizi, S Luo Mechanical Systems and Signal Processing 204, 110797, 2023 | 1 | 2023 |
The Volume of Non-Restricted Boltzmann Machines and Their Double Descent Model Complexity P Cheema, M Sugiyama NeurIPS2020 Workshop: Deep Learning through Information Geometry, 2020 | 1 | 2020 |
StiefelGen: A Simple, Model Agnostic Approach for Time Series Data Augmentation over Riemannian Manifolds P Cheema, M Sugiyama arXiv preprint arXiv:2402.19287, 2024 | | 2024 |
On physical realizability for inverse structural designs: bounding the least eigenvalue of an unknown mass matrix P Cheema, MM Alamdari, GA Vio arXiv preprint arXiv:2006.16802, 2020 | | 2020 |
Peak Finding within Spectral Data from an Aircraft T-Tail using a Black-Box Variational Bayesian Approach P Cheema, GA Vio AIAA Scitech 2020 Forum, 0703, 2020 | | 2020 |
Bayesian Inversion and Regression Trees for Mixing Length Model Development P Cheema, G Mathews, B Thornber, GA Vio Australasian Fluid Mechanics Conference, 2016 | | 2016 |