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  1. 1
    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory

    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory by Rusli, Julie Roslita

    Published 2011
    “…The algorithms used in this generator are based on March algorithm. …”
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  2. 2
    Automatic generation of user-defined test algorithm description file for memory BIST implementation

    Automatic generation of user-defined test algorithm description file for memory BIST implementation by Hussin, Razaidi, Jidin, Aiman Zakwan, Loh, Wan Ying, Mispan, Mohd Syafiq, Lee, Weng Fook

    Published 2022
    “…This paper presents the development of software that automatically generates a description file of a UDA to be deployed for memory BIST circuit implementation using Tessent memory BIST software. …”
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  3. 3
    March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults

    March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults by Mat Isa, Masnita

    Published 2012
    “…The fault syndrome based on read operations of the proposed algorithm is generated to determine its diagnostic capability. …”
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  4. 4
    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
    “…Finally, based on the SQ generation rule, and the development of the DB generator, MTAs are generated. …”
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  5. 5
    Pairwise test suite generator tool based on harmony search algorithm (HS-PTSGT)

    Pairwise test suite generator tool based on harmony search algorithm (HS-PTSGT) by Lai, Yi Xiang

    Published 2014
    “…This thesis is about the research on developing a pairwise test suite generator tool based on Harmony Search Algorithm (HS-PTSGT) to generate optimum test suite. …”
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  6. 6
    Generation of new low-complexity March algorithms for optimum faults detection in SRAM

    Generation of new low-complexity March algorithms for optimum faults detection in SRAM by Jidin, Aiman Zakwan, Hussin, Razaidi, Lee, Weng Fook, Mispan, Mohd Syafiq, Zakaria, Nor Azura, Loh, Wan Ying, Zamin, Norshuhani

    Published 2023
    “…It was achieved by developing automated software to generate the new Data Background sequence and rearrange the existing March algorithms’ test operations to remove redundancies and enable the sensitization and detection of the intended faults while preserving their complexities. …”
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  7. 7
    Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM

    Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM by Rusli, Julie Roslita, Mohd Sidek, Roslina, Wan Hasan, Wan Zuha

    Published 2012
    “…A proven March algorithms are used in this generator to verify the efficiency of this generator by producing the fault coverage and diagnostic resolution. …”
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    Conference or Workshop Item
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  8. 8
    A Case Study of Using Long Short-Term Memory (LSTM) Algorithm in Solar Photovoltaic Power Forecasting

    A Case Study of Using Long Short-Term Memory (LSTM) Algorithm in Solar Photovoltaic Power Forecasting by Lee Chin, Kho, Sze Song, Ngu, Annie, Joseph, Siti Kudnie, Sahari, Kuryati, Kipli, R., Rulaningtyas

    Published 2023
    “…This study implements the deep learning method, long short-term memory (LSTM) models for time series forecasting in solar photovoltaic power generation forecasting. …”
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  9. 9
    Comparative of rivest-shamir-adleman Cryptosystem and its four variants using running time and memory Consumption analysis

    Comparative of rivest-shamir-adleman Cryptosystem and its four variants using running time and memory Consumption analysis by Arif Mandangan, Muhammad Asyraf Asbullah, Syed Farid Syed Adnan, Mohammad Andri Budiman

    Published 2024
    “…Secondly, to determine which cryptosystem consumes the most time and memory for key generation, encryption, and decryption. …”
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  10. 10
    Comparative of Rivest-Shamir-Adleman cryptosystem and its four variants using running time and memory consumption analysis

    Comparative of Rivest-Shamir-Adleman cryptosystem and its four variants using running time and memory consumption analysis by Mandangan, Arif, Asbullah, Muhammad Asyraf, Adnan, Syed Farid Syed, Budiman, Mohammad Andri

    Published 2024
    “…Secondly, to determine which cryptosystem consumes the most time and memory for key generation, encryption, and decryption. …”
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  11. 11
    MBIST implementation and evaluation in FPGA based on low-complexity March algorithms

    MBIST implementation and evaluation in FPGA based on low-complexity March algorithms by Jidin, Aiman Zakwan, Mispan, Mohd Syafiq, Hussin, Razaidi, Weng, Fook Lee

    Published 2024
    “…March algorithms are widely used in Memory Built-In Self-Test (MBIST) on-chip memory testing, providing linear test complexities that reduce the test time and cost. …”
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  12. 12
    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 focus of this study is to propose an enhancement on memory consumption by reducing the number of candidates generated for the existing FLEX algorithm which will reduce the amount of memory needed to execute the algorithm. …”
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  13. 13
    The development of level of detail (LOD) technique in 3D computer graphics application

    The development of level of detail (LOD) technique in 3D computer graphics application by Ismail, Nor Anita Fairos, Daman, Daut, Mohd. Rahim, Mohd. Shafry

    Published 2009
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    Monograph
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  14. 14
    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things

    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…Other than that, a decrease in memory has assisted in generating better accuracy performance with more memory efficiency.…”
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  15. 15
    A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources

    A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources by Ahmadipour M., Ali Z., Ramachandaramurthy V.K., Ridha H.M.

    Published 2025
    Review
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  16. 16
    New Quasi-Newton Equation And Method Via Higher Order Tensor Models

    New Quasi-Newton Equation And Method Via Higher Order Tensor Models by Gholilou, Fahimeh Biglari

    Published 2010
    “…Moreover, a new limited memory QN method to solve large scale unconstrained optimization is developed based on the modified BFGS updated formula. …”
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  17. 17
    Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management

    Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management by Latif S.D., Ahmed A.N.

    Published 2024
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  18. 18
    Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System

    Utilisation of Exponential-Based Resource Allocation and Competition in Artificial Immune Recognition System by Hormozi, Shahram Golzari

    Published 2011
    “…This linearity increases the processing time of generating memory cells from antigens and causes an increase in the training time of the Artificial Immune Recognition System. …”
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  19. 19
    Design and performance analysis of a fast 4-way set associative cache controller using Tree Pseudo Least Recently Used algorithm

    Design and performance analysis of a fast 4-way set associative cache controller using Tree Pseudo Least Recently Used algorithm by Hazlan, Mohamed Alfian Al-Zikry, Gunawan, Teddy Surya, Yaacob, Mashkuri, Kartiwi, Mira, Arifin, Fatchul

    Published 2023
    “…In the realm of modern computing, cache memory serves as an essential intermediary, mitigating the speed disparity between rapid processors and slower main memory. …”
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  20. 20
    An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.

    An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications. by S. Ahmed, Bestoun, Enoiu, Eduard, Afzal, Wasif, Kamal Z., Zamli

    Published 2020
    “…Addressing this issue, we propose to integrate the memory into EMCQ for combinatorial t-wise test suite generation using reinforcement learning based on the Q-learning mechanism, called Q-EMCQ. …”
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