Search Results - (( java application sensor algorithm ) OR ( pre implementation model algorithm ))

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  1. 1

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

    Published 2019
    “…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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  2. 2

    Simulation model algorithm for pre-hospital emergency care (PHEC) volunteers in Indonesia by Martono, Martono, Sudiro, Sudiro, Satino, Satino

    Published 2018
    “…The results reveals that simulation model using algorithm influences the improvement of traffic volunteers’ emergency management capabilities with p-value of < 0.05 and mean score difference of 34.5%, and the model is highly effective to be implemented to improve the capability of traffic assistant volunteers to manage trauma emergency with the mean score difference of 11.5%. …”
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  3. 3

    Car dealership web application by Yap, Jheng Khin

    Published 2022
    “…Tree SHAP, which was implemented by third-party SHAP Python library, were used in model monitoring and made the models interpretable. …”
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    Final Year Project / Dissertation / Thesis
  4. 4

    Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems by Shakeel Ahmed, Kamboh

    Published 2014
    “…A data parallel algorithm (DPA-EHD) is designed and implemented for the EHD equations. …”
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    Thesis
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  6. 6

    Rainfall prediction system using Artificial Neural Network (ANN) / Izzat Izzuddin Zulkarnain by Zulkarnain, Izzat Izzuddin

    Published 2024
    “…The methodology employed a systematic approach, including data collection, pre-processing, prototype architecture design, algorithm implementation, and evaluation. …”
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    Thesis
  7. 7

    High Rise Building Evacuation Route Model Using DIJKSTRA'S Algorithm by Mohd Sabri, Nor Amalina

    Published 2015
    “…The information then is used to generate a directed graph in order to obtain the shortest path results through the implementation of shortest path algorithm. The main algorithms involve is Dijkstra’s algorithm and then an Ant Colony Optimization algorithm is used as hybrid versions of Dijkstra’s algorithm. …”
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  8. 8

    Hand blood vessels pattern recognition by Tan, Xuan Qing

    Published 2023
    “…The results showed that the proposed model achieved an 83.56% Dice Coefficient and 71.76% Jaccard Index, outperforming four handcrafted techniques tested and other pre-trained models. …”
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    Final Year Project / Dissertation / Thesis
  9. 9

    Cohesive token passing algorithm utilizing software agents by Abdulrazzak, A. Fua’ad, Subramaniam, Shamala

    Published 2010
    “…Approach: The implementation of Token Ring in MANET can be correlated to its complementary implementation in IP networks. …”
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  10. 10

    The Design of Pre-Processing Multidimensional Data Based on Component Analysis by Jasni, Mohamad Zain, Rahmat Widia, Sembiring

    Published 2011
    “…RapidMiner is used for data pre-processing using FastICA algorithm. Kernel K-mean is used to cluster the pre-processed data and Expectation Maximization (EM) is used to model. …”
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    REAL AND SIMULATED MASKED FACE RECOGNITION WITH A PRE-TRAINED MODEL by Audrey, Albert, Chai, Soo See, Goh, Kok Luong, Chin, Kim On

    Published 2023
    “…This change has encouraged the use of collaboration to resolve the related issues, which has resulted in the development of algorithms for face occlusion, collection of data on masked and unmasked faces and improvement of pre-trained models. …”
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  13. 13

    Enhancement of parallel thinning algorithm for handwritten characters using neural network by Engkamat, Adeline

    Published 2005
    “…Thus, this project presents a framework for the implementation of a multilayer perceptron neural network with backpropagation algorithm, in the Parker thinning algorithm in order to produce a fast fully parallel thinning algorithm. …”
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    Thesis
  14. 14

    Object detection in aerial images using Convolutional Neural Network (CNN) / Wan Nur Alya Athirah Wan Roshdee by Wan Roshdee, Wan Nur Alya Athirah

    Published 2024
    “…The model's performance depends on the task, dataset, architecture, and implementation. …”
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    Thesis
  15. 15

    M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589) by Mansor, Rosnalini, Mat Kasim, Maznah, Othman, Mahmod, Zaini, Bahtiar Jamili

    “…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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  16. 16

    Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting by Rosnalini, Mansor

    Published 2021
    “…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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  17. 17

    Intelligent Sensor Data Pre-processing Using Continuous Restricted Boltzmann Machine by Suhaimi, Emil Zaidan

    Published 2007
    “…In this study, CRBM is shown to be suitable to be implemented in LOC andSOC applications aforementioned.…”
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    Final Year Project
  18. 18

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

    Published 2023
    “…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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    Final Year Project / Dissertation / Thesis
  19. 19

    Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images by Adil Humayun, Khan

    Published 2024
    “…For segmentation, the first proposed algorithm is based on the boundary condition model, which is tested over the ISIC dataset and achieved 96% of accuracy. …”
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  20. 20

    Real and simulated masked face recognition with a pre-trained model by Audrey anak Albert, Soo See Chai, Kok Luong Goh, Kim On Chin

    Published 2023
    “…This change has encouraged the use of collaboration to resolve the related issues, which has resulted in the development of algorithms for face occlusion, collection of data on masked and unmasked faces and improvement of pre-trained models. …”
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    Article