Search Results - (( exploring commitment optimization algorithm ) OR ( java simulation classification algorithm ))

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  1. 1
    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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  2. 2
    Ant lion optimizer for solving unit commitment with solar photovoltaic integration / Izni Nadhirah Sam’on

    Ant lion optimizer for solving unit commitment with solar photovoltaic integration / Izni Nadhirah Sam’on by Sam’on, Izni Nadhirah

    Published 2020
    “…A new technique of Ant Lion Optimizer (ALO) is proposed to solve the unit commitment problem. …”
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  3. 3
    Optimal Unit Commitment for Minimizing Total Operating Cost using Ant Lion Optimizer

    Optimal Unit Commitment for Minimizing Total Operating Cost using Ant Lion Optimizer by Yasin Z.M., Sam'On I.N., Salim N.A., Ab Aziz N.F., Zakaria Z.

    Published 2023
    Conference Paper
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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
    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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  6. 6
    Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam

    Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

    Published 2023
    “…However, due to the drawbacks of the conventional algorithm as well as the heuristic algorithms handling complicated and multi-objective reservoir optimisation, the advantages of the strategy of simultaneous exploration and exploitation led to the decision to utilise meta-heuristic algorithms in this study. …”
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