Search Results - (( using function method algorithm ) OR ( model verification based algorithm ))
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A Novel Approach Of Groebner Bases Computation For Safety Analysis Of Distributed Discrete Controllers
Published 2019“…This research also proposes the improvement of mean time to failure (MTTF) by using the new model checking method. At the end of this research, a complete tool of model checking method based on Groebner bases algorithm for safety verification will be produced. …”
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Technical Report -
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Development Of Analytical Solution For Thermo-Mechanical Stresses Of Multilayered Pressure Vessel Based On Recursive Algorithm
Published 2022“…Recent studies showed that analytical solution based on recursive algorithm can be used to obtain thermo-mechanical stresses of multilayered structure efficiently. …”
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Final Year Project / Dissertation / Thesis -
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Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari
Published 2015“…We classify the cluster group that exceeds the stopping rule as potential outliers. Model verification of all method and model proposed in this study are examined using the simulation study. …”
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Thesis -
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An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…The second controller design strategy is based on a cost function optimization using GAS. …”
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Thesis -
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A comparative study of vibrational response based impact force localization and quantification using different types of neural networks / Wang Yanru
Published 2018“…It may be ore accurate than MLPwhen there are multiple outputs. In addition, ANFIS uses hybrid learning algorithm. It is mixed with least mean square and gradient descent method, which cause many advantages, such as much better learning ability and less computational time. …”
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Thesis -
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A fictitious reference iterative tuning method for buck converter-powered DC motor control system
Published 2019“…This paper presents a model-free optimization algorithm for a PID controller based on Fictitious Reference Iterative Tuning and Simulated Kalman Filter. …”
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Conference or Workshop Item -
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Modeling and Optimization of Tapered Rectangular Thin-walled Columns Subjected to Oblique Loading for Impact Energy Absorption
Published 2013“…RS model using quadratic polynomial function is given as equation (1) below. …”
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Conference or Workshop Item -
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Dynamic modelling and control of a flexible manipulator
Published 2003“…Dynamic model of a single-link flexible manipulator incorporating structural damping, hub inertia and payload is developed using the finite element method. …”
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Thesis -
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A controller-agnostic random oracle based intrusion detection method in software defined networks / Adnan
Published 2016“…We perform a rigorous evaluation of the proposed method by testing using Floodlight and Mininet to emulate SDN setting. …”
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Thesis -
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Daily streamflow forecasting using simplified rule-based fuzzy logic system
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Offline signature verification system using hidden markov model (HMM) analysis of varying number of states and state transition topology
Published 2023“…This paper describes the design and development of an offline signature verification system that is based on Hidden Markov Modeling (HMM) technique performed on a series of a localized direction feature extracted from a scanned signature image. …”
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Active intelligent control of vibration of flexible plate structures
Published 2011“…However, the non-model based AVC algorithms are faster than their model-based AVC counterparts.…”
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Thesis -
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A self-adaptive agent-based simulation modelling framework for dynamic processes
Published 2023“…Lack of validation and verification of ABS model and results against broader dataset or domains, led to non-robust and unreliable simulation model and results. …”
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Efficient ML technique in blockchain-based solution in carbon credit for mitigating greenwashing
Published 2025“…However, while blockchain ensures transparency, it lacks real-time anomaly detection capabilities. ML algorithms, particularly supervised models such as Random Forest, XGBoost, and Neural Networks, are well-suited for detecting fraudulent patterns and verifying the authenticity of forest carbon credit transactions. …”
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