Search Results - (( java implementation mining algorithm ) OR ( storage activation function algorithm ))

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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
    “…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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  2. 2
    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
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  3. 3
    Scalable approach for mining association rules from structured XML data

    Scalable approach for mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
    “…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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  4. 4
    Mining association rules from structured XML data

    Mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
    “…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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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
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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  7. 7
    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
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  8. 8
    Stability and performance investigations of model predictive controlled active-front-end (AFE) rectifiers for energy storage systems

    Stability and performance investigations of model predictive controlled active-front-end (AFE) rectifiers for energy storage systems by Akter M.P., Mekhilef S., Tan N.M.L., Akagi H.

    Published 2023
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  9. 9
    Stability and performance investigations of model predictive controlled active-front-end (AFE) rectifiers for energy storage systems

    Stability and performance investigations of model predictive controlled active-front-end (AFE) rectifiers for energy storage systems by Akter, M.P., Mekhilef, Saad, Tan, N.M.L., Akagi, H.

    Published 2015
    “…The model predictive control (MPC) algorithm utilizes the discrete behavior of power converters to determine appropriate switching states by defining a cost function. …”
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  10. 10
    Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

    Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends by Hossain Lipu M.S., Hannan M.A., Hussain A., Ayob A., Saad M.H.M., Karim T.F., How D.N.T.

    Published 2023
    Review
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  11. 11
    Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system

    Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system by Krishnan P.S., Kiong T.S., Koh J., Yap D.

    Published 2023
    Conference paper
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  12. 12
    Determination Of Bukit Merah Reservoir Capacity Using Sequential Peak Analysis

    Determination Of Bukit Merah Reservoir Capacity Using Sequential Peak Analysis by Azhani, Aidatul Aznuraini Aidil

    Published 2022
    “…A sequent peak algorithm is a technique designed primarily to estimate the size of active storage by tracking the inflows and outflows over an interval. …”
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  13. 13
    Human activity recognition via accelerometer and gyro sensors

    Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

    Published 2023
    “…While much research has been conducted, focusing on the development of algorithms and techniques for HAR, less emphasis was placed on the improvement of HAR research’s efficiency in terms of sensor data collection, annotation, and storage, resulting in the use of incomplete, inefficient, and time-consuming data engineering systems. …”
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  14. 14
    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters

    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters by Ayodele, Ozavize Freida, Ayodele, Bamidele Victor, Siti Indati, Mustapa, Fernando, Yudi

    Published 2021
    “…Among the various configurations investigated, the perceptron neural network configured with hyperbolic tangent and sigmoid activation function at the hidden and outer layers, as well as the configuration with sigmoid activation functions at the hidden and outer layers, offer the best performance. …”
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  15. 15
    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters

    Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters by Ayodele O.F., Ayodele B.V., Mustapa S.I., Fernando Y.

    Published 2023
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  16. 16
    Design and Modelling of an Energy Aware Dynamic Management for Wireless Sensor Node with Dual Harvesters

    Design and Modelling of an Energy Aware Dynamic Management for Wireless Sensor Node with Dual Harvesters by Abdal-Kadhim., Ali Mohammed

    Published 2020
    “…It is developed to make the sink station able to detect a missing node within the network. The function of the algorithm is to detect the energy sources availability and control the nodes' sleeping period accordingly. …”
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  17. 17
    Smart student timetable planner

    Smart student timetable planner by Wong, Xin Tong

    Published 2025
    “…Course data is managed in CSV format, parsed into JSON for fast processing, while sessionStorage and localStorage handle user data within active sessions. …”
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  18. 18
    Web Camera Application For Motion Detection

    Web Camera Application For Motion Detection by Koay, Su Yeong

    Published 2003
    “…The conventional way is by using either active sensor or passive sensor. The new method to detect motion is "vision motion detection". …”
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  19. 19
    Model predictive current and reactive power control for multilevel four-leg indirect matrix converter / Hazrul Mohamed Basri

    Model predictive current and reactive power control for multilevel four-leg indirect matrix converter / Hazrul Mohamed Basri by Hazrul , Mohamed Basri

    Published 2019
    “…The predictive algorithm computes the one-step prediction load current and reactive power. …”
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  20. 20
    Characterization of transdermal drug delivery system using visible spectrophotometry and artificial neural network / Normaizira Hamidi

    Characterization of transdermal drug delivery system using visible spectrophotometry and artificial neural network / Normaizira Hamidi by Hamidi, Normaizira

    Published 2009
    “…The tangent sigmoidal (tansig) function was used for the ANN activation and mean square error (MSE) of the network prediction is used as the cost function during each iteration of the training process. …”
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