Saeid Nahavandi
Deakin University
1077 Papers
4.1K Citations
Saeid Nahavandi is an academic researcher from Deakin University. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 58, co-authored 987 publications. Previous affiliations of Saeid Nahavandi include Delft University of Technology & Monash University.
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Papers
An autonomous trimming system of large glass fiber reinforced plastics parts using an omni-directional mobile robot and its control
Mohammad Jashim Uddin,Yasuo Nasu,Kenro Takeda,Saeid Nahavandi,Genci Capi +4 more
- 01 Jan 2004
TL;DR: In this paper, an automated trimming system of large glass fiber reinforced plastic (GFRP) using an omni-directional wheeled mobile robot (WMR) and its path control method is described.
A life cycle inventory of aluminium die casting
M. Roberts,Eric Hu,Saeid Nahavandi +2 more
- 01 Jan 2003
TL;DR: In this paper, a life cycle inventory (LCI) of aluminium high pressure die casting (HPDC) has been collected from the view of an individual product and also the entire process.
Implementation of the Grasshopper Optimisation Algorithm to Optimize Prediction and Control Horizons in Model Predictive Control-based Motion Cueing Algorithm
Sari Al-Serri,Mohammad Reza Chalak Qazani,Houshyar Asadi,Mohammed Al-Ashmori,A. Arogbonlo,Ahmad M Abu Alqumsan,Shehab Alsanwy,Shady Mohamed,Chee Peng Lim,Saeid Nahavandi +9 more
- 09 Oct 2022
TL;DR: In this article , the Grasshopper Optimization Algorithm (GOA) was adopted to yield optimal prediction and control horizons in MPC-based MCA models, and the results were compared with those from the butterfly optimization algorithm (BOA) and GA in terms of sensation error and computation time.
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Design of electrical infrastructure at container terminal and ’net metering’
Thanh Khanh Tran,Saeid Nahavandi,R. Reid +2 more
- 17 Oct 2008
TL;DR: In this paper, the authors provide information for the readers to provide a better understanding of their access to net metering, ultilizing their electrical equipment capabilities and be informed for their next negotiation with the power supply company.
Stereo correspondence estimation using multiwavelets scale-space representation-based multiresolution analysis
Asim Bhatti,Saeid Nahavandi +1 more
TL;DR: A multiresolution technique based on multiwavelets scale-space representation for stereo correspondence estimation is presented, involving the calculation of stereo correspondences at the coarsest resolution level with consequent refinement up to the finest level.
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