A5047991219- Structural Health Monitoring Techniques
- Ultrasonics and Acoustic Wave Propagation
- Infrastructure Maintenance and Monitoring
- Wood Treatment and Properties
- Robotic Path Planning Algorithms
- Concrete Corrosion and Durability
- Machine Fault Diagnosis Techniques
- Industrial Vision Systems and Defect Detection
- Non-Destructive Testing Techniques
- Probabilistic and Robust Engineering Design
- Structural Integrity and Reliability Analysis
- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Thermography and Photoacoustic Techniques
- Optical measurement and interference techniques
- Geophysical Methods and Applications
- Smart Materials for Construction
- Power Transformer Diagnostics and Insulation
- Advanced Sensor Technologies Research
- Adaptive Control of Nonlinear Systems
- Tree Root and Stability Studies
- Distributed Control Multi-Agent Systems
- Advanced Battery Technologies Research
- Advanced Image Processing Techniques
- Remote Sensing and LiDAR Applications
University of Technology Sydney
2012-2024
UNSW Sydney
2023-2024
University of Tasmania
2019-2021
University of Tehran
2013-2018
University of Guilan
2016-2017
University of Ontario Institute of Technology
2011
Abstract Many real-world optimization problems, particularly engineering ones, involve constraints that make finding a feasible solution challenging. Numerous researchers have investigated this challenge for constrained single- and multi-objective problems. In particular, work extends the boundary update (BU) method proposed by Gandomi Deb (Comput. Methods Appl. Mech. Eng. 363:112917, 2020) problem. BU is an implicit constraint handling technique aims to cut infeasible search space over...
Generative modeling aims to transform random noise into structured outputs. In this work, we enhance video diffusion models by allowing motion control via latent sampling. This is achieved just a change in data: pre-process training videos yield noise. Consequently, our method agnostic model design, requiring no changes architectures or pipelines. Specifically, propose novel warping algorithm, fast enough run real time, that replaces temporal Gaussianity with correlated warped derived from...
The problem of hole-defect detection in standing trees is solved. An ultrasonic device (Pundit PL-200) was employed to collect signals from various wood specimens both the lab and field. collected were then processed through Variational Mode Decomposition algorithm derive effective features. In order solve classification more efficiently, obtained characteristics analyzed PCA determine most useful Several machine learning algorithms a one-dimensional convolutional neural network (1D-CNN) set...
The sensitivity of structural health monitoring systems to environmental and operational conditions poses a significant challenge due their inherent susceptibility outliers. This paper proposes an effective model-updating-based optimization algorithm that can alleviate the impact outliers associated with field fluctuations. proposed method addresses influence uncertainties from sources such as white noise, colored measurement errors, which introduce in datasets. approach comprises hybrid...
This paper examines and optimizes parameters that affect the air cooling of a Lithium-Ion (Li-Ion) battery, used in Electric Vehicles (EVs). A battery pack containing 150 cylindrical type Li-Ion cells PVC casing is investigated. An equal number tubes are as medium to cool by using fan when vehicle stationary or with ambient motion. The affecting studied optimized considering their practical constraints. objective function Number Transfer Unit (NTU) developed Finally, genetic algorithm method...
The number of confirmed cases COVID-19 has been ever increasing worldwide since its outbreak in Wuhan, China. As such, many researchers have sought to predict the dynamics virus spread different parts globe. In this paper, a novel systematic platform for prediction future is proposed, based on several factors such as transmission rate, temperature, and humidity. proposed strategy derives systematically set appropriate features training Recurrent Neural Networks (RNN). To that end, (CC) three...
An inverse input–output method is proposed for long-term condition monitoring of civil infrastructures through the prediction error air temperature recorded at site a structure. It known that structural natural frequencies are affected by temperature. Hence, considers as input and output to train machine learning algorithm (MLA). To this end, after signal preprocessing using variational mode decomposition (VMD), different MLAs employed, associated with regarded damage–sensitive feature....
This paper investigates the stochastic path planning of a vehicle in presence some moving obstacles and uncertainty sources. Upon successive linearization, Linear-Time Varying Model Predictive Control (LTV-MPC) is used as method. The modelled by Gaussian distribution obstacle avoidance mission form linear constraints LTV-MPC. Finally applying algebraic simplification LTV-MPC converted to convex optimization problem. There are strong algorithms for solving problem, thus consequent method can...