Search Results - (( integer application testing algorithm ) OR ( java data collection algorithm ))

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  1. 1

    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
    “…The results also show that in Java, A Arraylist is the most suitable choice for storing Object and Arraylnt list is the most suitablec choice for storing integer data. …”
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    Thesis
  2. 2

    Solving Sudoku puzzles in Binary Integer Linear Programming using Branch and Bound algorithm / Ahida Waliyyah Ahmad Fuad by Ahmad Fuad, Ahida Waliyyah

    Published 2024
    “…This study explores the application of a Binary Integer Linear Programming (BILP) model combined with the Branch and Bound (B&B) algorithm to solve Sudoku puzzles. …”
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    Thesis
  3. 3

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Dhany, Saputra

    Published 2008
    “…The results also show that in Java, A Arraylist is the most suitable choice for storing Object and Arraylnt list is the most suitablec choice for storing integer data. …”
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    Thesis
  4. 4

    Development of symbolic algorithms for certain algebraic processes by Abd. Rahman, Ali, Aris, Nor'Aini

    Published 2007
    “…With the bound of the true solution not known a priori, the test is devised and carefully incorporated into the modular algorithm. …”
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    Monograph
  5. 5

    Development of symbolic algorithms for certain algebraic processes by Abd. Rahman, Ali, Aris, Nor'aini

    Published 2007
    “…With the bound of the true solution not known a priori, the test is devised and carefully incorporated into the modular algorithm. …”
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    Monograph
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    Implementation of Grid Computing for Cryptosystem (RSA) by Abd Wahab, Mohamed Ferdaus

    Published 2005
    “…Lastly the project has the objective to deploy and a grid computing facility that will beuse as a test bed for RSA algorithm Methodology used for the development is Rapid Application Development (RAD) as it will allow for fast development with a series of testing and prototyping. …”
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    Final Year Project
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    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…The data collected for this machine learning model is using the statistically significant features from vibration and acoustic analysis. …”
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    Monograph
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    AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

    Published 2022
    “…Besides, an android application is being cre-ated to give therapy based on machine learning predictions. To collect data, we enlisted the help of 4,500 people. …”
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    Article
  15. 15

    An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints by Noraini, Mohd Razali

    Published 2015
    “…In order to obtain feasible solution which does not violate precedence constraints, a route repair based topological sort technique is used and integrated in the genetic algorithm procedure. In this paper, a new algorithm is developed and the performances as well as the quality of the solution were evaluated against large scale test problems. …”
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    Article
  16. 16

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

    Published 2023
    “…Lastly, the project paves the way for establishment of standardized dataset, with streamlined data collection, data annotation and data storage, and allow comparative research and benchmarking.…”
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    Final Year Project / Dissertation / Thesis
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    Tacit knowledge for business intelligence framework using cognitive-based approach by Surbakti, Herison

    Published 2022
    “…These cognitive maps are then stored in a data warehouse and ready to collect anytime for analytics purposes. …”
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    Thesis
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    Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning by Solihin M.I., Yanto, Hayder G., Maarif H.A.-Q.

    Published 2024
    “…The second-level learner uses logistic regression (LR) to aggregate the final prediction output. The landslide data together with its conditioning factors (feature variables) collected from three districts in the Central Java Province, Indonesia, has been used as the case study for the LSM. …”
    Conference Paper