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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
    Multi-objective model optimisation using genetic algorithms for pleurotus sp. cultivation

    Multi-objective model optimisation using genetic algorithms for pleurotus sp. cultivation by Norazwina, Zainol, Abdul Sahli, Fakharudin, Noor Athirah, Dzulkefli, M. F., A. Bakar

    Published 2020
    “…The multi-objective optimisation of M and N requires the objective functions which represent both processes. For this type of problem, multi-objective genetic algorithm was chosen as the methodology, specifically using NSGA-II algorithm. …”
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  3. 3
    Agro-ento bioinformation: towards the edge of reality

    Agro-ento bioinformation: towards the edge of reality by Syed Hassan, Syed Tajuddin

    Published 2002
    “…The protocols range from the molecular levels to domains of larger dimensions such as those encompassing fraternities of politics and policies, and societal applications. These protocols, algorithms, and visualisations undergo dynamic incubation processes to produce the end product, which is bioinformation. …”
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    Inaugural Lecture
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  4. 4
    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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  5. 5
    Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Genetic Algorithm (RBFNN-GA)

    Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Gene... by Alzaeemi, Shehab Abdulhabib, Ali Noman, Efaq, Al-shaibani, Muhanna Mohammed, Al-Gheethi, Adel, Radin Mohamed, Radin Maya Saphira, Almoheer, Reyad, Seif, Mubarak, Kim Gaik Tay, Kim Gaik Tay, Mohamad Zin, Noraziah, El Enshasy, Hesham Ali

    Published 2023
    “…Independent factors used included temperature (x1 ), pH (x2 ), incubation time (x3 ), and soybean concentration (x4 ). …”
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  6. 6
    Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Genetic Algorithm (RBFNN-GA)

    Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Gene... by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Efaq Ali Noman, Efaq Ali Noman, Muhanna Mohammed Al-shaibani, Muhanna Mohammed Al-shaibani, Adel Al-Gheethi, Adel Al-Gheethi, Radin Mohamed, Radin Maya Saphira, Reyad Almoheer, Reyad Almoheer, Mubarak Seif, Mubarak Seif, Kim Gaik Tay, Kim Gaik Tay, Mohamad Zin, Noraziah, Hesham Ali El Enshasy, Hesham Ali El Enshasy

    Published 2023
    “…Independent factors used included temperature (x1), pH (x2), incubation time (x3), and soybean concentration(x4). …”
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  7. 7
    Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Genetic Algorithm (RBFNN-GA)

    Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Gene... by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Efaq Ali Noman, Efaq Ali Noman, Muhanna Mohammed Al-shaibani, Muhanna Mohammed Al-shaibani, Adel Al-Gheethi, Adel Al-Gheethi, Radin Mohamed, Radin Maya Saphira, Reyad Almoheer, Reyad Almoheer, Mubarak Seif, Mubarak Seif, Kim Gaik Tay, Kim Gaik Tay, Mohamad Zin, Noraziah, Hesham Ali El Enshasy, Hesham Ali El Enshasy

    Published 2023
    “…Independent factors used included temperature (x1), pH (x2 ), incubation time (x3), and soybean concentration(x4). …”
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  8. 8
    Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Genetic Algorithm (RBFNN-GA)

    Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Gene... by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Efaq Ali Noman, Efaq Ali Noman, Mohammed Al-shaibani, Muhanna, Adel Al-Gheethi, Adel Al-Gheethi, Radin Mohamed, Radin Maya Saphira, Reyad Almoheer, Reyad Almoheer, Mubarak Seif, Mubarak Seif, Kim Gaik Tay, Kim Gaik Tay, Mohamad Zin, Noraziah, Hesham Ali El Enshasy, Hesham Ali El Enshasy

    Published 2023
    “…Independent factors used included temperature (x1 ), pH (x2 ), incubation time (x3 ), and soybean concentration (x4). …”
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  9. 9
    Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Genetic Algorithm (RBFNN-GA)

    Improvement of L-asparaginase, an Anticancer Agent of Aspergillus arenarioides EAN603 in Submerged Fermentation Using a Radial Basis Function Neural Network with a Specific Gene... by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Efaq Ali Noman, Efaq Ali Noman, Muhanna Mohammed Al-shaibani, Muhanna Mohammed Al-shaibani, Adel Al-Gheethi, Adel Al-Gheethi, Radin Mohamed, Radin Maya Saphira, Reyad Almoheer, Reyad Almoheer, Mubarak Seif, Mubarak Seif, Kim Gaik Tay, Kim Gaik Tay, Mohamad Zin, Noraziah, Hesham Ali El Enshasy, Hesham Ali El Enshasy

    Published 2023
    “…Independent factors used included temperature (x1), pH (x2), incubation time (x3), and soybean concentration (x4). …”
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  10. 10
    Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues

    Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues by Samsudin , Mohd Dinie Muhaimin

    Published 2015
    “…Process optimization in shake flasks culture using one-factor-at-a-time (OFAT) method produced bioethanol yield of 0.428 g/g. …”
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    Thesis
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