Search Results - (( programmes loading optimization algorithm ) OR ( java simulation classification algorithm ))

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  1. 1
    Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm

    Malaysia residential load profile management based on time of use tariff using ant colony optimization algorithm by Dahlan, Nofri Yenita, Sulaima, Mohamad Fani, Wan Hanapi, Wan Noor Azzyati, Noor Din, Muhamad Muhtazam

    Published 2022
    “…It also engaged in significant analysis to determine the optimal Load Profile Management (LPM) strategies for consumers that best reflected the residential TOU tariff. …”
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  2. 2
    Optimal load management strategy for enhanced time of use (ETOU) electricity tariff in Peninsular Malaysia / Mohamad Fani Sulaima

    Optimal load management strategy for enhanced time of use (ETOU) electricity tariff in Peninsular Malaysia / Mohamad Fani Sulaima by Sulaima, Mohamad Fani

    Published 2020
    “…Particle swarm optimization (PSO), evolutionary particle swarm optimization (EPSO), and ant colony optimization (ACO) algorithms were applied to optimize the simultaneous LM strategies of peak clipping, valley filling and load shifting in order to minimize the energy consumption and maximum demand costs, and improve economic indexes such as load factor and building economic efficiency response. …”
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  3. 3
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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  4. 4
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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  5. 5
    Controller placement problem in the optimization of 5G based SDN and NFV architecture

    Controller placement problem in the optimization of 5G based SDN and NFV architecture by Ibrahim, Abeer Abdalla Zakaria

    Published 2021
    “…If the control plane fails to improve system resilience quality, A reliable RAMCP is formulated as an optimal solution for fault tolerance. Furthermore, the approach is extended with a Particle Swarm Algorithm (PSO) and presented as a hybrid RASCP to validate the optimal location and number of controllers. …”
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  6. 6
    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The fuzzy inference model will be used to capture both fasting and non-fasting membership functions before feeding the results for classification to the neural network model. Two sets of experimental data involving 20 diabetic patients and 20 healthy subjects were collected from CITO laboratory Semarang Central Java, Indonesia. …”
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  7. 7
    Minimization of torque ripple and flux droop using optimal DTC switching and sector rotation strategy

    Minimization of torque ripple and flux droop using optimal DTC switching and sector rotation strategy by Ahmad Tarusan, Siti Azura

    Published 2022
    “…MATLAB/Simulink software is used to simulate the proposed strategies while a complete setup system consists of a DS1104 digital signal processor (DSP)-board (to implement the DTC algorithm), Field-programmable Gate Arrays (FPGA) (to implement the blanking circuit), two-level and five-level (CHB) inverter circuit, gate driver circuit, and a 1.1 kW induction motor with 2 kW DC generator as a load is developed for testing and verification purpose. …”
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  8. 8
    Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach

    Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach by Othman, Anwar Hasan Abdullah, Kassim, Salina, Rosman, Romzie, Redzuan, Nur Harena

    Published 2020
    “…The optimal model employs a multilayer neural network (NN) along with an “optimised operator” with the ability to locate the optimal factor loading of the applied algorithm. …”
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  9. 9
    Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu

    Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu by Abdul Mannan, Dadu

    Published 2018
    “…MATLAB/Simulink software environment is used for the simulation and the LabVIEW Field programmable gate array (FPGA) rapid prototyping controller is used to validate the proposed control scheme. …”
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