Search Results - (( developing reading self algorithm ) OR ( java implication based algorithm ))

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  1. 1
    The data and read/write controller for March-based SRAM diagnostic algorithm MBIST

    The data and read/write controller for March-based SRAM diagnostic algorithm MBIST by Mat Isa, Masnita, Wan Hasan, Wan Zuha, Mohd Sidek, Roslina, Abdul Halin, Izhal

    Published 2009
    “…This paper presents the implementation of March-based algorithm as proposed in into an Memory Built-in Self-Test (MBIST) data and read/write controller. …”
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  2. 2
    Iot health monitoring system for self quarantined covid-19 patients

    Iot health monitoring system for self quarantined covid-19 patients by Vikneswaran, Balakrishnan

    Published 2022
    “…Then to get the temperature reading we use some algorithm to calculate the temperature reading from sensor. …”
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    Undergraduates Project Papers
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  3. 3
    Fault detection with optimum March Test Algorithm

    Fault detection with optimum March Test Algorithm by Zakaria, Nor Azura, Wan Hasan, Wan Zuha, Abdul Halin, Izhal, Mohd Sidek, Roslina, Wen, Xiaoqing

    Published 2012
    “…This paper analyzes MATS++(6N), March C-(10N), March SR(14N), and March CL(12N) test algorithms and shows that they cannot detect either Write Disturb Faults (WDFs) or Deceptive Read Destructive Faults (DRDFs) or both. …”
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  4. 4
    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun

    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
    “…In order to develop an intelligent agent, various programming techniques are used in achieving the property of self learning, information retrieval and searching algorithm. …”
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    Thesis
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  5. 5
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  6. 6
    Multiple and solid data background scheme for testing static single cell faults on SRAM memories

    Multiple and solid data background scheme for testing static single cell faults on SRAM memories by Zakaria, Nor Azura

    Published 2013
    “…The present research focuses on two types of Static Single Cell Faults (SSCFs): Write Disturb Faults (WDFs) and Deceptive Read Destructive Faults (DRDFs). These faults are undetectable by existing algorithms with insufficient operation. …”
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  7. 7
    Testing static single cell faults using static and dynamic data background

    Testing static single cell faults using static and dynamic data background by Zakaria, Nor Azura, Wan Hasan, Wan Zuha, Abdul Halin, Izhal, Mohd Sidek, Roslina, Wen, Xiaoqing

    Published 2011
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  8. 8
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  9. 9
    Development of A Cascade Pid Fuzzy Logic Controller for Wall Following Mobile Robot

    Development of A Cascade Pid Fuzzy Logic Controller for Wall Following Mobile Robot by Koo , Yeong Chin

    Published 2015
    “…The study focuses on the development of cascade Proportional, Integration, and Derivation (PID) controller to control the motors’ speed and Fuzzy Logic (FL) as the decision making algorithm in wall-following. …”
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  10. 10
    QUANTITATIVE SCHLIEREN MEASUREMENT OF 3 DIMENSIONAL TEMPERATURE, CONCENTRATION AND VELOCITY FIELDS IN A GAS FLOW

    QUANTITATIVE SCHLIEREN MEASUREMENT OF 3 DIMENSIONAL TEMPERATURE, CONCENTRATION AND VELOCITY FIELDS IN A GAS FLOW by IFFA, EMISHAW DANDENA IFFA

    Published 2011
    “…The developed deflection vector estimation algorithm and optical tomography served as a tool to extract the index of refraction of the gaseous fields. …”
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  11. 11
    An early warning system for students at risk using supervised machine learning

    An early warning system for students at risk using supervised machine learning by Yam, Zheng Hong, Mohd Norshahriel, Abd Rani, Nabilah Filzah, Mohd Radzuan, Lim, Huay Yen, Sarasvathi, Nagalingam

    Published 2024
    “…To keep up with the course's pace, students must be self-motivated, well-organized, and have time management skills. …”
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