Search Results - (( motion selection models algorithm ) OR ( label classification swarm algorithm ))
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Enhancing Classification Algorithms with Metaheuristic Technique
Published 2024“…For this reason, in this research,several auxiliary algorithms are introduced to improve the performance of the classification algorithm, namely the meta-heuristic algorithm. …”
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Article -
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Feature Selection with Harmony Search for Classification: A Review
Published 2021“…From the review, feature selection with HS algorithm shows a good performance as compared to other metaheuristics algorithm such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO).…”
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Proceeding -
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Video Object Avoidance Implementation on Embedded Platform
Published 2015“…At the end of this project object, motion templates is selected as a more suitable motion detection techniques due to its extra information, which is the angle. …”
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Final Year Project -
5
Identification and control of a small-scale helicopter
Published 2010“…This identification process is based on the well-known gradient descent learning algorithm. As a case study, the multiple-input multiple-output (MIMO) model predictive control (MPC) is applied to control the pitch motion of the helicopter. …”
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Fast mode decision algorithm
Published 2011“…Fast mode decision is the developed algorithm intended for selectively choosing the mode decision used by the encoder. …”
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Book Chapter -
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Modeling financial environments using geometric fractional Brownian motion model with long memory stochastic volatility
Published 2018“…Geometric Fractional Brownian Motion (GFBM) model is widely used in financial environments. …”
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Thesis -
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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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Multi-state PSO GSA for solving discrete combinatorial optimization problems
Published 2016“…The multistate model is then implemented in PSO and GSA. As a consequence, multi-state particle swarm optimization (MSPSO) and multi-state gravitational search algorithm (MSGSA) are developed. …”
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Parameter estimation of stochastic differential equation
Published 2012“…The results showed that the Mean Square Errors (MSE) for stochastic model with parameters estimated using optimal knot for 1,000, 5,000 and 10,000 runs of Brownian motions are smaller than the SDE models with estimated parameters using knot selected heuristically. …”
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FRIT-based integral action state feedback controller tuning using PSO for a liquid slosh suppression system
Published 2022“…The minimization of the performance index of the controlled system was achieved by employing the PSO algorithm. Numerical analyses using MATLAB software have been conducted to evaluate the effectiveness of the proposed model-free approach. …”
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Comparative analysis of the model-free tuning techniques for integral state feedback controller of a liquid slosh suppression system
Published 2022“…The assessment proves that the model-free control approaches exhibit a good response of the cart in terms of the trajectory tracking of the cart’s motion while maintaining the liquid slosh motion at the minimum level.…”
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Conference or Workshop Item -
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A MATHEMATICAL MODELING FOR DESIGN AND DEVELOPMENT OF CONTROL LAWS FOR UNMANNED AERIAL VEHICLE (UAV)
Published 2011“…In order to convert the RPV to be an unmanned aerial vehicle (UAV) that can performs the autonomous aerial surveillance and reconnaissance missions for civilian purposes, the autonomous control laws/algorithms, like damper, attitude hold/select, altitude hold/select, auto-throttle, coordinated turn and waypoints following, have been designed, and developed. …”
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Citation Index Journal -
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A comprehensive analysis of surface electromyography for control of lower limb exoskeleton
Published 2016“…Obviously, selecting four muscles to attain a full joint moment and motion is not sufficient, therefore we introduced the net joint moment obtained from the inverse dynamics to optimize the predicted joint moment. …”
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A comparative study and simulation of object tracking algorithms
Published 2020“…The simulation experiment obtained the accuracy figure and success figure of the overall performance comparison of these 50 object tracking algorithms and then selected 11 attributes to compare the performance of various algorithms. …”
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Conference or Workshop Item -
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…It was demonstrated from the simulation investigation that the CWT model could yield a better signal transformation amongst the preprocessing algorithms. …”
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Feature extraction: hand shape, hand position and hand trajectory path
Published 2011“…The performance of recognition system fIrst depends on the process of getting effIcient features to represent pattern characteristics [1]. There is no algorithm which shows how to select the representation or choose the features [2] so the selection of features will depend on the application. …”
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Book Chapter -
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Optimization of slosh suppression system through data-driven state feedback controller
Published 2024“…It is impossible to construct a global model, and the unmodelled system would make the model-based control approach difficult to apply. …”
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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…Then, the next step is to define the dominant components according to the relative energy distributions of wavelet packet transform (WPT) components of the acceleration responses, and transforming the equations of motion of the system in the time-domain to a reduced representation of the equations of motion based on the WPT. …”
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