Search Results - (( developing feature control algorithm ) OR ( java evaluation modified algorithm ))
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1
Detection of muscle activities in the sEMG signal by using frequency features and adaptive decision threshold
Published 2020“…In this paper, an amplitude-independent algorithm had been developed with an adaptive decision threshold; the algorithm employed only frequency features of the sEMG signal to detect muscle activities. …”
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2
Enhanced control algorithms for multilevel inverter-based shunt active power filter
Published 2017“…SAPF with all the proposed control algorithms is developed and evaluated in MATLAB-Simulink involving various highly nonlinear rectifier loads. …”
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3
Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection
Published 2022“…Experimental results of the EBGWO algorithm on the NSL-KDD dataset in terms of number of selected features and classification accuracy are superior to other benchmark optimisation algorithms. …”
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4
Detection of muscle activities in the sEMG signal by using frequency features and adaptive decision threshold
Published 2020“…In this paper, an amplitude-independent algorithm had been developed with an adaptive decision threshold; the algorithm employed only frequency features of the sEMG signal to detect muscle activities. …”
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5
Brain Machine Interface Controlled Robot Chair
Published 2010“…The BMI controls the joystick of the robot chair using a shared control algorithm. …”
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6
A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. …”
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7
Hevea leaf features extraction and recognition algorithm for hevea clones classification using image / Mohamad Faizal Ab Jabal, Suhardi Hamid, Salehuddin Shuib
Published 2013“…As a result Wu et al. [1] was successful developed an efficient algorithm for the plant classification. 32 kinds of plants have been classified by using the algorithm. …”
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Research Reports -
8
A simplified synchronous reference frame for indirect current controlled three-level inverter-based shunt active power filters
Published 2016“…The proposed algorithm is developed and evaluated in MATLAB/Simulink. …”
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9
Dual vector control strategy for a three-stage hybrid cascaded multilevel inverter
Published 2010“…The inverter has been constructed and the control algorithm has been implemented. Test results show that the proposed algorithm achieves the desired features and all of the major hypotheses have been verified.…”
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10
Three-phase three-level shunt active power filter with simplified synchronous reference frame
Published 2016“…Moreover, the algorithm is still considered to possess unnecessary features which impose excessive computational burden to the designed controller. …”
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Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals
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12
Development of an intelligent multimodal biometric system for household appliances control
Published 2012“…In the first phase, individual biometrics recognition algorithms were developed for each biometrics feature. …”
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Monograph -
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Formulation of model predictive control algorithm for nonlinear processes
Published 2004“…The most significant feature that distinguishes MPC from other control algorithms is its long range prediction concept. …”
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Monograph -
14
DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm
Published 2016“…This study presents an improved self-charging algorithm by introducing a new feature known as step size error cancellation for better performance of DC-link capacitor voltage control in single-phase shunt active power filter (SAPF). …”
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15
A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification
Published 2024“…However, compared with the traditional risk control algorithm (logistic regression algorithm), CatBoost algorithm also needs to have the advantages of high efficiency, low algorithm complexity and strong interpretable ability. …”
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16
An amplitude independent muscle activity detection algorithm based on adaptive zero crossing technique and mean instantaneous frequency of the sEMG signal
Published 2017“…A new algorithm has been developed to detect the presence of muscle activities in weak and noisy sEMG signals. …”
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Classification of hand gestures from EMG signals / Diaa Albitar
Published 2022“…This integration will help on the development of control strategy of the prosthetic hand.…”
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19
Development of control algorithm for a new 12s-6p single phase field excited flux switching motor
Published 2020“…Afterwards control algorithms have been successfully developed and implemented in the motor control hardware. …”
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20
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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