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  1. 1
    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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  2. 2
    Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System

    Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System by Meng, Chung Tiong, Hamdan, Daniyal, Mohd Herwan, Sulaiman, Mohd Shafie, Bakar

    Published 2018
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  3. 3
    A new 128-bit block cipher

    A new 128-bit block cipher by Mohd Ali, Fakariah Hani

    Published 2009
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    Thesis
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  4. 4
    Development of an integrated scheduling model for handling equipment in automated port container terminals

    Development of an integrated scheduling model for handling equipment in automated port container terminals by Sadeghian, Syed Hamidreza

    Published 2014
    “…In addition, results proved that the modified meta-heuristic algorithm is able to find near optimal solutions and on average, the solutions found by the GA algorithm are only 0.2% worse than the optimal solutions and in the worst case in the test cases this difference is 2.3% which is acceptable. …”
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  5. 5
    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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  6. 6
    Hybrid Neural Networks and Genetic Algorithm for Fault Detection and Diagnosis of a Plant

    Hybrid Neural Networks and Genetic Algorithm for Fault Detection and Diagnosis of a Plant by Al-Neami, F. B., Al-Kayiem, Hussain H.

    Published 2008
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  7. 7
    Development of Hybrid Intelligent Systems for Boiler Fault Detection and Diagnosis

    Development of Hybrid Intelligent Systems for Boiler Fault Detection and Diagnosis by Ismail , F.B., Al-Kayiem, Hussain H.

    Published 2009
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  8. 8
    Distracted driver detection with deep convolution neural networks

    Distracted driver detection with deep convolution neural networks by Basubeit, Omar Gumaan Saleh

    Published 2023
    “…This project aims to develop a python algorithm to detect the distracted activities while driving. …”
    text::Final Year Project
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  9. 9
    Analysis of sequence batch reactor for COD and TSS removal identification from septic sludge treatment plant using bio inspired algorithm: a case study in Sarawak

    Analysis of sequence batch reactor for COD and TSS removal identification from septic sludge treatment plant using bio inspired algorithm: a case study in Sarawak by Sie Chun, Ting, Ismail , Amelia Ritahani, Abdul Malik, Marlinda

    Published 2012
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  10. 10
    Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving

    Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving by Hannan M.A., Abdolrasol M.G.M., Faisal M., Ker P.J., Begum R.A., Hussain A.

    Published 2023
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  11. 11
    Interactive Fuzzy Logic Interface for Enhanced Real-Time Water Quality Index Monitoring

    Interactive Fuzzy Logic Interface for Enhanced Real-Time Water Quality Index Monitoring by Amar Lokman, Wan Zakiah Wan Ismail, Nor Azlina Ab Aziz, Anith Khairunnisa Ghazali

    Published 2026
    journal::journal article
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  12. 12
    Classification of imbalanced travel mode choice to work data using adjustable svm model

    Classification of imbalanced travel mode choice to work data using adjustable svm model by Qian, Y., Aghaabbasi, M., Ali, M., Alqurashi, M., Salah, B., Zainol, R., Moeinaddini, M., Hussein, E.E.

    Published 2021
    “…This study deals with imbalanced mode choice data by developing an algorithm (SVMAK) based on a support vector machine model and the theory of adjusting kernel scaling. …”
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  13. 13
    Design of artificial intelligence-based electronic Malay language learning tool for visually impaired children

    Design of artificial intelligence-based electronic Malay language learning tool for visually impaired children by Yeoh, Sing Hsia

    Published 2011
    “…The percentage of visually impaired people who master Malay language, as the national language in Malaysia, is low. The main purpose for this research is to develop a Malay language learning tool for blind children. …”
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  14. 14
    Application of data mining techniques for economic evaluation of air pollution impact and control

    Application of data mining techniques for economic evaluation of air pollution impact and control by Lukman, Iing

    Published 2007
    “…In this research we examine aspects of the interdependence between economic development and the use of environmental and natural resources assets from global data published by United Nations. …”
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  15. 15
    Flood hazard simulation for development plans in urban environment: a case study in Naga City, the Philippines

    Flood hazard simulation for development plans in urban environment: a case study in Naga City, the Philippines by Abd. Rahman, Muhammad Zulkarnain, Ibrahim, Ab. Latif, Wan Kadir, Wan Hazli, Alkema, Dinand

    Published 2007
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  16. 16
    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches

    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…The BBNs developed revealed that SES, household size and education level have the highest influence on reported cases as variations in response due to global sensitivity of network nodes. …”
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  17. 17
    Prediction of tuberculosis cases based on sociodemographic and environmental factors in gombak, Selangor, Malaysia: A comparative assessment of multiple linear regression and artificial neural network models

    Prediction of tuberculosis cases based on sociodemographic and environmental factors in gombak, Selangor, Malaysia: A comparative assessment of multiple linear regression and artif... by Nur Adibah Mohidem, Malina Osman, Farrah Melissa Muharam, Saliza Mohd Elias, Rafiza Shaharudin, Zailina Hashim

    Published 2024
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  18. 18
    Predicting serious injuries due to road traffic accidents in Malaysia by means of artificial neural network

    Predicting serious injuries due to road traffic accidents in Malaysia by means of artificial neural network by Nurul Qastalani, Radzuan, Mohd Hasnun Ariff, Hassan, Anwar, P. P. Abdul Majeed, Rabiu Muazu, Musa, Mohd Azraai, M. Razman, Khairil Anwar, Abu Kassim

    Published 2020
    “…This study attempts to employ Artificial Neural Networks (ANN), a machine learning algorithm, to predict the number of serious injury cases in Malaysia based on the road traffic accident data of the past 20 years. …”
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  19. 19
    Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case

    Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case by Hassan, Raini, Fadzleey, Nur Zulfah Insyirah, Ab Hamid, Annesa Maisarah, Abd Aziz, Rabiatul Adawiyah, Jamalullain, Afiefah, Syaiful 'Adli, Fatin Syafiqah

    Published 2024
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  20. 20
    Spatial analysis of infant mortality in Peninsular Malaysia over three decades using mixture models

    Spatial analysis of infant mortality in Peninsular Malaysia over three decades using mixture models by Nuzlinda Abdul Rahman, Abdul Aziz Jemain

    Published 2013
    “…Infant mortality is one of the central public issues in most of the developing countries. In Malaysia, the infant mortality rates have improved at the national level over the last few decades. …”
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