Search Results - (( using lean optimization algorithm ) OR ( basic visualisation using algorithm ))
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1
Machining optimization using Firefly Algorithm / Farhan Md Jasni
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Student Project -
2
Development of a systematic method in lean tool selection for automotive industry
Published 2012“…The developed software probably assists manufacturers in applying the systematic lean tool selection. Based on the systematic features of this algorithm, the efficiency and effectiveness of the model in presenting optimizing techniques for lean tool selection with the automotive industry seems reasonable and useful. …”
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Thesis -
3
Energy-driven scheduling for Digital Video Broadcasting - Satellite Second Generation (DVB-S2)
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Conference or Workshop Item -
4
Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia
Published 2024“…Post-optimization ANN model was trained using eleven different leaning algorithms. …”
Article -
5
Composing multi-relations association rules from crowdsourcing remuneration data
Published 2022“…To gain a more understandable insight, the data relationship is visualised using an alluvial chart that manages to illustrate the flow. …”
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Article -
6
Hierarchical gaussian reinforcement learning for path planning in uncertain environments
Published 2015“…We propose a path planning algorithm for robots in uncertain environments by using hierarchical Gaussian Q-learning. …”
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Article -
7
Axis manipulation to solve Inverse Kinematics of Hyper-Redundant Robot in 3D Space
Published 2022“…In this study, an axis manipulation using a geometrical approach is used. Initially, a general algorithm for a 2-m-link hyper-redundant robot in 3D is generated. …”
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Article -
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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…We investigate the detection capability based on the fuzzy Q-learning (FQL) algorithm and evaluate it using distribute denial of service attacks (DDoS). …”
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Thesis -
9
The enhanced BPNN-NAR and BPNN-NARMA models for Malaysian aggregate cost indices with outlying data
Published 2015“…In theory, the most common training algorithm for Backpropagation algorithms leans on reducing ordinary least squares estimator (OLS) or more specifically, the mean squared error (MSE). …”
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Proceeding Paper -
10
Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method
Published 2016“…Then, design of experiments is used to examine the sensitivity of the parameters of each solving algorithm using Taguchi method. …”
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Thesis
