Search Results - (( developing countries optimisation algorithm ) OR ( java data normalization algorithm ))

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  1. 1
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…Even a normal people using clustering to grouping their data. …”
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  2. 2
    Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani

    Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani by Che Ani, Siti Sarah Aqilah

    Published 2021
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  3. 3
    SANAsms: Secure short messaging system for secure GSM mobile communication

    SANAsms: Secure short messaging system for secure GSM mobile communication by Anuar, N.B., Azlan, I.M., Wahid, A.W.A., Zakaria, O.

    Published 2008
    “…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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  4. 4
    Optimization of Feeder Bus Routes for Electric Train Service using Ant Colony Algorithm

    Optimization of Feeder Bus Routes for Electric Train Service using Ant Colony Algorithm by Yung, Dellon Tan Tzet

    Published 2014
    “…In order to address this issue, an optimised feeder bus system is proposed. Hence, to achieve this, various optimisation algorithm needs to be studied and researched. …”
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    Final Year Project
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  5. 5
    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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  6. 6
    Global warming: predicting OPEC carbon dioxide emissions from petroleum consumption using neural network and hybrid cuckoo search algorithm

    Global warming: predicting OPEC carbon dioxide emissions from petroleum consumption using neural network and hybrid cuckoo search algorithm by Haruna, Chiroma, Abdul-Kareem, Sameem, Mohd Nawi, Nazri, Gital, Abdulsam Ya'u, Shuib, Liyana, Abubakar, Adamu, Rahman, Muhammad Zubair, Herawan, Tutut

    Published 2015
    “…To improve effectiveness of the ANN, the cuckoo search algorithm was hybridised with accelerated particle swarm optimisation for training the ANN to build a model for the prediction of OPEC CO2 emissions. …”
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  7. 7
    Challenges of hidden data in the unused area two within executable files

    Challenges of hidden data in the unused area two within executable files by Naji, Ahmed Wathik, Zaidan, A.A., Zaidan, B.B.

    Published 2009
    “…The designed algorithms were intended to help in proposed system aim to hide and retract information (data file) with in unused area 2 of any execution file(exe.file). …”
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  8. 8
    Design and development of fanger model and fuzzy logic based controller for air conditioners

    Design and development of fanger model and fuzzy logic based controller for air conditioners by Kee, Keh-Kim, Angelo Emanuel Robin, Pao, William K.S

    Published 2019
    “…In this study, the physical parameters of Fanger’s model and Predicted Mean Vote (PMV) are used to design an innovative air conditioner controller, which is adaptively controlled by fuzzy logic to drive both fan and cooler speed by taking consideration of cooling effect of air flow variation. With the developed algorithm and controller prototype, energy consumption is optimised or minimised for the best financial outcome without sacrifice of human comfort. …”
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  9. 9
    A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil

    A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil by Chai, Kah Chun

    Published 2021
    “…Hence, this study aimed to optimise the order of subset of the SARIMA model using Genetic Algorithm (GA). …”
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  10. 10
    Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]

    Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.] by Rahiman, Mohd Hezri Fazalul, Ismail, Nurlaila, Taib, Mohd Nasir, Mohd Ali, Nor Azah, Tajuddin, Saiful Nizam

    Published 2014
    “…The ANN programming algorithm was developed and computed automatically via Matlab software version R2010a. …”
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  11. 11
    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
    “…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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  12. 12
    Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia

    Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia by Lay, Usman Salihu

    Published 2019
    “…The general objective of the study was the development of optimized hybrid debris flow models using airborne laser scanning data and Machine learning algorithms in Malaysia. …”
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  13. 13
    Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration

    Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration by Chia, Min Yan

    Published 2022
    “…As for the NNE, a novel meta-learner based on the stochastic-enabled extreme learning machine integrated with whale optimisation algorithm (WOA-ELM) was developed and used in such an application for the first time. …”
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  14. 14
    A protocol for an international, multicentre pharmacokinetic study for screening Antifungal exposure in intensive care units: the SAFE-ICU study

    A protocol for an international, multicentre pharmacokinetic study for screening Antifungal exposure in intensive care units: the SAFE-ICU study by Roberts, Jason A., Sime, Fekade, Lipman, Jeffrey, Hernandez-Mitre, Maria Patricia, Baptista, João P, Brüggemann, Roger J., Darvall, Jai, Waele, Jan J. De, Dimopoulos, George, Lefrant, Jean-Yves, Mat Nor, Mohd Basri, Rello, Jordi, Seoane, Leonardo, Slavin, Monica A., Valkonen, Miia Maaria, Venditti, Mario, Wong, Wai Tat, Zeitlinger, Markus, Roger, Claire

    Published 2023
    “…Data will also be used for the development of antifungal dosing algorithms for critically ill patients. …”
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