Search Results - (( data solution using algorithm ) OR ( ((java implication) OR (_ implication)) based algorithm ))

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  1. 1

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

    Published 2025
    “…The outcome of this study will add to the body of knowledge the most important and recent proposed solutions to mitigate SQL injection attack, in particular those based on machine learning algorithm…”
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    Article
  2. 2

    Agreement options for negotiation on material location decision of housing development by Utomo, C., Rahmawati, Y.

    Published 2020
    “…Social implications: The satisficing algorithm of the coalition will satisfy all stakeholders. …”
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    Article
  3. 3

    Application of machine learning and artificial intelligence in detecting SQL injection attacks by Md Sultan, Abu Bakar, Agiliga, Nwabudike Augustine, Osman, Mohd Hafeez Bin, Sharif, Khaironi Yatim

    Published 2024
    “…The study uses a mixed-methods approach to evaluate how well different AI and ML algorithms identify SQL injection attacks by combining algorithmic evaluation with empirical investigation. …”
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    Article
  4. 4

    CO2 flow in saline aquifer with salt precipitation by Pau, J.S., Pao, W., Yong, S.P.

    Published 2016
    “…Research limitations/implications - This paper presents the solution of two-phase flow in CO2 brine system during CO2 injection in saline aquifer using MHFE-FV method with the additional salt precipitation model obtained based on core flood experiment result. …”
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    Article
  5. 5

    CO2 flow in saline aquifer with salt precipitation by Pau, J.S., Pao, W., Yong, S.P.

    Published 2016
    “…Research limitations/implications - This paper presents the solution of two-phase flow in CO2 brine system during CO2 injection in saline aquifer using MHFE-FV method with the additional salt precipitation model obtained based on core flood experiment result. …”
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    Article
  6. 6

    XAIRF-WFP: a novel XAI-based random forest classifier for advanced email spam detection by Bouke, Mohamed Aly, Alramli, Omar Imhemed, Abdullah, Azizol

    Published 2024
    “…The methodology incorporates data balancing through Hybrid Random Sampling, feature selection using the Gini Index, and a two-layer model explainability via Model-agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP) techniques. …”
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  7. 7

    A fuzzy approach for early human action detection / Ekta Vats by Ekta, Vats

    Published 2016
    “…The existing fuzzy implication operators are capable of handling only two dimensional data. …”
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    Thesis
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    Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL) by Ku, Soh Ting, Talib, Othman, Md. Yunus, Aida Suraya, Zolkepli, Maslina

    Published 2019
    “…Computational thinking is essential to computing and information science (i.e., algorithmically, with or without the assistance of computers) to solve problems with solutions that are reusable in different contexts. …”
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    Conference or Workshop Item
  10. 10

    Efficient and secured compression and steganography technique in wireless sensor network by Tuama, Ammar Yaseen

    Published 2016
    “…Two datasets have been used in the experiment, generated data set and Harvard Sensor Lab data set, in order to validate the performance of the proposed solution. …”
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    Thesis
  11. 11

    Improvement DACS3 Searching Performance using Local Search by Md Rais, Helmi, Ali Othman, Zulaiha, Hamdan, Abdul Razak

    Published 2009
    “…Embedding such behavior has improved quality of solution and time taken to reach the solution. However, the algorithm performance is reduced for large data set. …”
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    Conference or Workshop Item
  12. 12

    Enhancement of Ant System Algorithm for Course Timetabling Problem by Djamarus, Djasli

    Published 2009
    “…Results of the experiments that were conducted using various data sets showed that the proposed algorithm produced better course schedule solution than the Greedy Algorithm, Genetic Algorithm, and other variants of Ant System Algorithm.…”
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    Thesis
  13. 13
  14. 14

    A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems by Yaseen, Zaher, Ehteram, Mohammad, Hossain, Md., Fai, Chow, Koting, Suhana, Mohd, Nuruol Syuhadaa, Jaafar, Wan Zurina Wan, Afan, Haitham Abdulmohsin, Lai, Sai Hin, Zaini, Nuratiah, Ahmed, Ali, El-Shafie, Ahmed

    Published 2019
    “…The excellent proficiency of the developed intelligence expert system is the result of the hybrid structure of the BA and PSO algorithm and the substitution of weaker solutions in each algorithm with better solutions from other algorithms. …”
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    Article
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    An enhanced version of black hole algorithm via levy flight for optimization and data lustering problems by Haneen, Abd Wahab, Noraziah, Ahmad, Alsewari, Abdulrahman A., Sinan, Q. Salih

    Published 2019
    “…The processes of retrieving useful information from a dataset are an important data mining technique that is commonly applied, known as Data Clustering. …”
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  17. 17

    Multi-objective clustering algorithm using particle swarm optimization with crowding distance (MCPSO-CD) by Rashed, Alwatben Batoul, Hamdan, Hazlina, Mohd Sharef, Nurfadhlina, Sulaiman, Md Nasir, Yaakob, Razali, Abubakar, Mansir

    Published 2020
    “…Clustering, an unsupervised method of grouping sets of data, is used as a solution technique in various fields to divide and restructure data to become more significant and transform them into more useful information. …”
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    Article
  18. 18

    Simulated annealing algorithm for scheduling divisible load in large scale data grids. by Abdullah, Monir, Othman, Mohamad, Ibrahim, Hamidah, Subramaniam, Shamala

    Published 2009
    “…Many Scheduling approaches have been studied but there is no optimal solution. This paper proposes a novel Simulated Annealing (SA) algorithm for scheduling divisible load in large scale data grids. …”
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    Article
  19. 19

    Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting by Ali, Noor Rasidah, Ku Mahamud, Ku Ruhana

    Published 2017
    “…Therefore, a clustering algorithm by introducing data transformation using X-means data splitting is proposed to investigate the spatial homogeneity of time series rainfall data. …”
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  20. 20

    Vehicle routing problem with pick-up and delivery using genetic algorithm / Muhammad Shahfiq Zazali and Wan Muhamad Nasrin Aiman Mat Soti by Zazali, Muhammad Shahfiq, Mat Soti, Wan Muhamad Nasrin Aiman

    Published 2022
    “…Our findings show that GA with a mutation operator is better at solving the problem compared to crossover operator because it provides a smaller total distance within a given iteration while GA with a crossover operator does not have any change at all until the iteration stops. The most optimal solution for the data used is 233641.009 calculated using a software that uses the Ruin and Recreate principle. …”
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    Student Project