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

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  1. 1

    Enhancement of stemming process for malay illicit web content by Noor Fatihah , Mazlam

    Published 2012
    “…As conclusion, the implementation of new features in enhanced stemming algorithm can reduce the errors produce in Sembok’s stemming algorithm. …”
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    Thesis
  2. 2

    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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    Article
  3. 3

    Face expression recognition using artificial neural network (ANN) / Mazuraini Ghani by Ghani, Mazuraini

    Published 2005
    “…The phases are pre-processmg phase and neural network design phase. …”
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    Thesis
  4. 4

    E-Hadith DV: Hadith scriptures in Syafie Madhhab retrieval using data visualization / Nor Faezahtul Salme Norhisam by Norhisam, Nor Faezahtul Salme

    Published 2020
    “…For this project, it will use Agile methodology that has five phases, which are requirement analysis phase, design phase, development phase, testing phase and maintenance. …”
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    Thesis
  5. 5

    FRUIT RECOGNITION APPLICATION USING MACHINE LEARNING by LOH, WENG KEONG

    Published 2023
    “…The system consists of several distinct phases, including image acquisition, image pre-processing, feature extraction, classification, and results and evaluation. …”
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    Final Year Project Report / IMRAD
  6. 6

    Automated road traffic census using image processing technique by Ng,, Hooi Sin

    Published 2013
    “…In this phase, information of bounding box such as center point, width and height of the identified vehicles are used in implementing the counting and classification algorithm. …”
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    Final Year Project Report / IMRAD
  7. 7

    Penilaian esei berbantukan komputer menggunakan teknik Bayesian dan pengunduran linear berganda by Mohamad @ Hamza, Mohd. Azwan

    Published 2006
    “…This study emphasized on optimization of prediction on discourse elements and writing style that leading to the development of CbAS through four phases of research methodology. (1) Pre-processing and data extraction phase where essay will be parsed into word (token) and implemented Word Correction Algorithm to re-correct the misspell word. (2) Training process of determination and classification of discourse elements using Multivariate Bernoulli Model (MMB) Technique. …”
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    Thesis
  8. 8

    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
  9. 9
  10. 10

    Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum by Wardhana, Mohammad Hadyan

    Published 2023
    “…Pre-processing phase overcomes the issue of incomplete data by performing data cleansing and data normalization. …”
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    Thesis
  11. 11

    Advances in metaheuristics: Applications in engineering systems by Ganesan, T., Vasant, P., Elamvazuthi, I.

    Published 2016
    “…The second focusses on process optimization and considers three engineering applications: optimization of a three-phase separator, process plant, and a pre-treatment process. …”
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    Book
  12. 12
  13. 13

    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
  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
    “…To solve this aim, several steps will be used including analysis, design, development, evaluation, and documentation phases. It also has been explained about the use of Convolutional Neural Network (CNN) in the project, the advantages and disadvantages, the implementation of the algorithm in various problem and similar works with the project title. …”
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    Thesis
  15. 15

    Logo recognition using Artificial Neural Network (ANN) / Nor Hamidah Abdul Ghafar by Abdul Ghafar, Nor Hamidah

    Published 2005
    “…In order to recognize the logo, a training phase using back propagation technique was implemented. …”
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    Student Project
  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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    Thesis
  17. 17

    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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    Monograph
  18. 18

    Unique class encryption (UCE) substitution boxes (S-Boxes) using mysterious Quranic for block ciphers in ICT security by Shamsudin, Ahmad Faizul, Suhaimi, Mohd Adam, Makarin, Rusydi Hasan, Jaafar, Abi Dzar

    Published 2010
    “…In an envisaged pre-commercialization phase, the UCE block cipher would be implemented in FPGA chips. …”
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    Proceeding Paper
  19. 19

    Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification by Myaser, Jwan

    Published 2020
    “…Nevertheless, AC is not required for LCM if the original multi-spectral image is used. The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
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    Thesis
  20. 20

    Deep learning model for 5W (What, When, Where, Who, and Why) sign language translation system / Raihah Aminuddin, Ummu Mardhiah Abdul Jalil and Norsyamimi Hasran by Aminuddin, Raihah, Abdul Jalil, Ummu Mardhiah, Hasran, Norsyamimi

    Published 2023
    “…This research presents a 5W sign language identification system based on the Convolutional Neural Network technique and the You Only Look Once algorithm. The project follows the waterfall model, which consists of four phases: requirement analysis, design, implementation, and testing. …”
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    Book Section