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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
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  2. 2
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  3. 3
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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  4. 4
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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  5. 5
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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  6. 6
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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  7. 7
    An application of a novel technique for assessing the operating performance of existing cooling systems on a university campus

    An application of a novel technique for assessing the operating performance of existing cooling systems on a university campus by Abdalla, E.A.H., Nallagownden, P., Nor, N.B.M., Romlie, M.F., Hassan, S.M.

    Published 2018
    “…Two contributions in this work are: (1) the prediction of a model by using Adaptive Neuro-Fuzzy Inference System (ANFIS)-based Fuzzy Clustering Subtractive (FCS), and (2) the classification and optimization of the predicted models by using an Accelerated Particle Swarm Optimization (APSO) algorithm. …”
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  8. 8
    Development Of Control Algorithm For Spot Cooling System

    Development Of Control Algorithm For Spot Cooling System by Andy, Tan Wei Keat

    Published 2017
    “…The decoy is designed to be wearable by the user so the air conditioner will blow the air towards the user. The Spot Cooling algorithm is implemented on a Raspberry Pi 3 using Model-Based Design with Matlab. …”
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    Monograph
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  9. 9
    INCENTIVE-SCHEDULING ALGORITHMS TO PROVIDE GREEN COMPUTATIONAL DATA CENTER

    INCENTIVE-SCHEDULING ALGORITHMS TO PROVIDE GREEN COMPUTATIONAL DATA CENTER by HARUNA, AHMED ABBA

    Published 2017
    “…Using GDC-DC control model, a GDC can be made to channel wasted energy to cool a DC, effectively reducing CO2 emission. …”
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  10. 10
    Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller

    Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller by Nurul Afiqah, Zainal

    Published 2017
    “…A model of PV panel is designed based PV mathematical modelling by using single cell diode model. …”
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  11. 11
    Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances

    Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances by Nurul Afiqah, Zainal, A. R., Yusoff, Ajisman, Apen

    Published 2019
    “…The PV cooling system reduces the PV panel temperature to the optimum temperature, while the FL-based CV MPPT algorithm tracks the maximum power of the PV panel. …”
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  12. 12
    Development of a building energy analysis package (BEAP) and its application to the analysis of cool thermal energy storage systems

    Development of a building energy analysis package (BEAP) and its application to the analysis of cool thermal energy storage systems by Senawi, M. Y.

    Published 2001
    “…Algorithms are developed for simulation of six generic cool thermal energy storage (CTES) systems. …”
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  13. 13
    Neural Network-Based Active Cooling System With IoT Monitoring and Control for LCPV Silicon Solar Cells

    Neural Network-Based Active Cooling System With IoT Monitoring and Control for LCPV Silicon Solar Cells by Dosymbetova G., Mekhilef S., Orynbassar S., Kapparova A., Saymbetov A., Nurgaliyev M., Zholamanov B., Kuttybay N., Manakov S., Svanbayev Y., Koshkarbay N.

    Published 2024
    “…The simulation of the cooling system operation was performed using various algorithms of the cooling system operation. …”
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  14. 14
    Evaluation of Current Music Synthesis Software for Rendering of Various Synthesis Algorithms

    Evaluation of Current Music Synthesis Software for Rendering of Various Synthesis Algorithms by Tan, Julie Lee Mei

    Published 2000
    “…The ability to distinguish the usefulness of currently available music synthesis software for the application of various synthesis algorithms is the main focus of the research. …”
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  15. 15
    Analysis of parallel flow type internally cooled membrane-based liquid desiccant dehumidifier using a neural networks approach

    Analysis of parallel flow type internally cooled membrane-based liquid desiccant dehumidifier using a neural networks approach by Quadros, Jaimon Dennis, Khan, Sher Afghan, T., Prashanth

    Published 2021
    “…Backpropagation algorithm (BP), artificial bee colony (ABC), and genetic algorithm (GA) models were used to train the neural network (NN) parameters using the data collected from the CCD-based response equation. …”
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  16. 16
    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
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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  17. 17
    Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor

    Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor by Mohamad Nor, Ahmad Azhari

    Published 2024
    “…The study aims to enhance the monitoring and maintenance of the primary cooling system through a multifaceted approach. Firstly, descriptive and correlation analyses characterise the primary cooling system based on temperature, flow, and conductivity data. …”
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  18. 18
    Design and Implementation of PID Controller for the Cooling Tower?s pH Regulation Based on Particle Swarm Optimization PSO Algorithm

    Design and Implementation of PID Controller for the Cooling Tower?s pH Regulation Based on Particle Swarm Optimization PSO Algorithm by Al-Najari B.M.A., Hen C.K., Paw J.K.S., Marhoon A.F.

    Published 2025
    “…The experimental results showed that the PH regulation improved using the PSO-based PID controller tuning. ? 2024 The Authors.…”
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  19. 19
    Optimizing crystal size distribution based on different cooling strategies in batch crystallization process

    Optimizing crystal size distribution based on different cooling strategies in batch crystallization process by Siti Zubaidah, Adnan, Noor Asma Fazli, Abdul Samad

    Published 2024
    “…Optimization IV employs a dissolution strategy, which manipulates two quality specifications in one algorithm (size of crystals and number of fines), which is considered the best optimal cooling profile for seeded batch crystallization by maximizing CSD and minimizing the generation of nucleus-grown crystals.…”
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  20. 20
    Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant

    Neuro-Fuzzy and Particle Swarm Optimization based Model for the Steam and Cooling sections of a Cogeneration and Cooling Plant by Alemu Lemma, Tamiru, Rangkuti, Chalillullah, Mohd Hashim, Fakhruldin

    Published 2009
    “…Neuro-fuzzy approach trained by a sequence of optimization algorithms-Particle Swarm Optimization (PSO) followed by Back-Propagation (BP)-is used to develop models for the steam drum pressure, steam drum water level, steam flow rate and chilled water supply temperature. …”
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