Search Results - (( java application customization algorithm ) OR ( control optimization svm algorithm ))
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LS-SVM Hyper-parameters Optimization Based on GWO Algorithm for Time Series Forecasting
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Open phase fault-tolerant support vector machine predictive power control for six-phase induction generator WECS
Published 2025“…Simulation results demonstrate the effectiveness of the OPFT-SVM-PPC control strategy in preserving control over the machine while ensuring high energy quality for the grid with a THD of 2.71%. …”
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Improved Direct Torque Control (DTC) Performances Of Induction Machine Using Cascaded H-Bridge Multilevel Inverter
Published 2017“…The proposed DTC control algorithm can be optimally executed at high computation rate by totally using C-coding with DS1104 controller board. …”
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Thesis -
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Applying machine learning and particle swarm optimization for predictive modeling and cost optimization in construction project management
Published 2024“…This study examines the utilization of different Machine Learning algorithms, such as Linear Regression, Decision Trees, Support Vector Machines (SVM), Gradient Boosting, Random Forest, K-Nearest Neighbors (KNN), Convolutional Neural Network (CNN) Regression, and Particle Swarm Optimization (PSO), in the domain of predictive modeling and cost optimization in the field of construction project management. …”
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Malware Classification and Detection using Variations of Machine Learning Algorithm Models
Published 2025“…While further research requires a special algorithm to improve malware attack detection, in addition to KNN, SVM and Neural Network. …”
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Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm
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Modeling and implementation of space vector modulation for three-phase direct torque control matrix converter
Published 2013“…In this thesis, the main aim is to improve the performance of the induction motor drive based on the space vector modulation (SVM) method. In addition, some improvement is performed which are by using close-loop induction motor drive controller based on the relations of the efficiency and power factor with the rotor frequency and slip frequency in a steady state mathematical model and second, enhancing this controller by replacing the PI controller with the combination of Direct Torque Control (DTC) and Particle Swarm Optimization (PSO). …”
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Thesis -
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Real-time Cascading Reservoirs Operation using the Genetic Algorithm and Seasonally Varied Models
Published 2013“…Whereas, a seasonally varied model (SVM) has been developed after the analysis of the long-term HA operation data. …”
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EEG-based emotion recognition using machine learning algorithms
Published 2024“…It is because physiological signals are hard to control and more reliable. Thus, this project proposed an optimised machine learning algorithms to classify emotion by analysing brain activity using Electroencephalogram (EEG) signals. …”
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Final Year Project / Dissertation / Thesis -
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Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification
Published 2019“…The electronic hardware and hand robot structure were integrated to develop an EMG controlled hand robot prototype, and its functionality was tested through three stages: muscular activity detection only, object detection only and the integration of both detection in an algorithm to control the hand robot structure movement to perform opened hand palm and some grasping postures with two trial for each stage. …”
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Reduced torque ripple and switching frequency using optimal DTC switching strategy for open-end winding induction machines
Published 2017“…The main benefit of the proposed strategy is its simplicity, where the DTC improvements can be obtained without the common approach, i.e. the use of Space Vector Modulation (SVM) which involves complex control algorithms. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks
Published 2025“…The Adaptive Neuro-Fuzzy Inference System (ANFIS) is used for role-based access control and judge contracts. To improve secure service providing, we perform the detection of malicious and vulnerable users using Improved Cuckoo Optimization and Support Vector Machine (ICO-SVM) and Gated Recurrent Unit and Residual Neural Network (GRU-ResNNet) algorithm in ROS-EB which reduces the vulnerability in the smart home. …”
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Ensemble learning using multi-objective optimisation for arabic handwritten words
Published 2021“…Multi-Objective Ensemble Oriented (MOEO) formulated to control the classifier topology and provide feedback support for changing the classifiers' topology and weights based on the extension of Non-dominated Sorting Genetic Algorithm (NSGA-II). …”
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Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
Published 2009“…Comparisons were made between the proposed method to the k-nearest neighbor (KNN) and support vector machine (SVM), methods for image segmentation. Experimental results show that the proposed algorithm works better than other two methods in terms of classifier accuracy with result of more than 99 percent successful segmentation of desired color in varying illumination. …”
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Discrete wavelet packet transform for electroencephalogram-based emotion recognition in the valence-arousal space
Published 2015“…Additionally, in this study, a leave-one-out cross validation was performed using Radial Basis Function-Support Vector Machines (RBF-SVM) as the classifier on a public ally available data set. …”
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