Search Results - (( intelligence based thinking algorithm ) OR ( intelligence systematic mining algorithm ))*

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  1. 1
    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network

    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

    Published 2024
    “…In the current development of Artificial Intelligence, Satisfiability plays a crucial role as a symbolic language of Artificial Intelligence for the transparency of black box models. …”
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  2. 2
    A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks

    A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks by Ismail, Azratul Ain Nadiah, Mohamad, Ahmad Nadzri

    Published 2025
    “…Data mining tools enabled by artificial intelligence can change the norms in employment practices. …”
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  3. 3
    Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability

    Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability by Rusdi, Nur ‘Afifah, Zamri, Nur Ezlin, Kasihmuddin, Mohd Shareduwan Mohd, Romli, Nurul Atiqah, Manoharam, Gaeithry, Abdeen, Suad, Mansor, Mohd. Asyraf

    Published 2024
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  4. 4
    Systematic review on ai-blockchain based e-healthcare records management systems

    Systematic review on ai-blockchain based e-healthcare records management systems by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Hasbullah, Nurul Fadzlin, Zabidi, Suriza Ahmad

    Published 2022
    “…Finally, the emphasized taxonomy combines blockchain and artificial intelligence, which enables us to analyze possible blockchain and artificial intelligence applications in health records management systems. …”
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  5. 5
    Systematic review on ai-blockchain based e-healthcare records management systems

    Systematic review on ai-blockchain based e-healthcare records management systems by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Hasbullah, Nurul Fadzlin, Zabidi, Suriza Ahmad

    Published 2022
    “…Finally, the emphasized taxonomy combines blockchain and artificial intelligence, which enables us to analyze possible blockchain and artificial intelligence applications in health records management systems. …”
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  6. 6
    Potential norms detection in social agent societies

    Potential norms detection in social agent societies by Mahmoud M.A., Mustapha A., Ahmad M.S., Ahmad A., Yusoff M.Z.M., Hamid N.H.A.

    Published 2023
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  7. 7
    Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions

    Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions by Gorment N.Z., Selamat A., Cheng L.K., Krejcar O.

    Published 2024
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  8. 8
    Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)

    Building norms-adaptable agents from Potential Norms Detection Technique (PNDT) by Mahmoud M.A., Ahmad M.S., Ahmad A., Mustapha A., Yusoff M.Z.M., Hamid N.H.A.

    Published 2023
    Short Survey
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  9. 9
    Intelligent deep machine learning cyber phishing URL detection based on BERT features extraction

    Intelligent deep machine learning cyber phishing URL detection based on BERT features extraction by Muna Elsadig, Ashraf Osman Ibrahim Elsayed, Shakila Basheer, Manal Abdullah Alohali, Sara Alshunaifi, Haya Alqahtani, Nihal Alharbi, Wamda Nagmeldin

    Published 2022
    “…Researchers in cyberspace are motivated to create intelligent models and offer secure services on the web as phishing grows more intelligent and malicious every day. …”
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  10. 10
    Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)

    Building norms-adaptable agents from Potential Norms Detection Technique (PNDT) by Mahmoud, Moamin Ahmed, Ahmad, Mohd Sharifuddin, Ahmad, Azhana, Mustapha, Aida, Mohd Yusoff, Mohd Zaliman, Abdul Hamid, Nurzeatul Hamimah

    Published 2013
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  11. 11
    Music Recommender System Using Machine Learning Content-Based Filtering Technique

    Music Recommender System Using Machine Learning Content-Based Filtering Technique by Foong, Kin Hong

    Published 2022
    “…Machine Learning is a form of Artificial Intelligence that will make systems to think like human being. …”
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    Undergraduates Project Papers
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  12. 12
    Improving intelligent personality prediction using Myers-Briggs type indicator and random forest classifier

    Improving intelligent personality prediction using Myers-Briggs type indicator and random forest classifier by Nur Haziqah, Zainal Abidin, Muhammad Akmal, Remli, Noorlin, Mohd Ali, Phon, Danakorn Nincarean Eh, Nooraini, Yusoff, Hasyiya Karimah, Adli, Busalim, Abdelsalam H.

    Published 2020
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  13. 13
    An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid

    An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid by Mohd Zahid, Mohamad Harith

    Published 2020
    “…Artificial intelligence today is essentially a machine that can do typically any specific task before mimicry to human intelligence. …”
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  14. 14
    Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph

    Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph by Joseph, Corina

    Published 2023
    “…Corina delivering her speech titled "AI and SDGs: Resource-Based View Perspective." In the speech introduction, various definitions of Artificial Intelligence (AI) were provided. …”
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  15. 15
    Artificial Intelligence in accounting / Akma Hidayu Dol @ Abdul Wahid and Rafizan Abdul Razak

    Artificial Intelligence in accounting / Akma Hidayu Dol @ Abdul Wahid and Rafizan Abdul Razak by Dol @ Abdul Wahid, Akma Hidayu, Abdul Razak, Rafizan

    Published 2025
    “…The development of AI-based technologies has transformed the accounting profession, presenting both opportunities and challenges for professionals in this domain. …”
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  16. 16
    Predicting Diseases Using Multi-BackPropagation

    Predicting Diseases Using Multi-BackPropagation by Wan Hussain, Wan Ishak

    Published 2002
    “…A Computer-based medical system plays an important role in the current practice of medicine. …”
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  17. 17
    Agent architectures (building chatterbot) / Umi Aimah Abu Bakar

    Agent architectures (building chatterbot) / Umi Aimah Abu Bakar by Umi Aimah , Abu Bakar

    Published 2003
    “…While MILAH, it has no neural network, no complex knowledge presentation, no fuzzy logic, no genetic algorithm and no major parsing. MILAH uses Case Based Reasoning (CBR). …”
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  18. 18
    Handbook of Machine Learning for Computational Optimization: Applications and Case Studies

    Handbook of Machine Learning for Computational Optimization: Applications and Case Studies by Jain, V., Juneja, S., Juneja, A., Kannan, R.

    Published 2021
    “…Technology is moving at an exponential pace in this era of computational intelligence. Machine learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. …”
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    Book
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  19. 19
    What, how and when to use knowledge in neural network application

    What, how and when to use knowledge in neural network application by Wan Ishak, Wan Hussain, Abdul Rahman, Shuzlina

    Published 2004
    “…In understanding neural network one may think of three main questions: What is knowledge in neural network?…”
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  20. 20
    Humanizing AI in Higher Education: Rethinking HR, Ethics, and Skill Development for University Employees in the SDG Era

    Humanizing AI in Higher Education: Rethinking HR, Ethics, and Skill Development for University Employees in the SDG Era by Shreeja, Nair, Kritika, Banka, Ankur, Pandya

    Published 2025
    “…The results identified three predominant themes: (1) unbalanced ethical frameworks and low transparency in AI-driven hiring and performance appraisal; (2) faculty and staff apprehension due to algorithmic biases, data privacy issues, and a lack of institutional oversight; and (3) an urgent need to develop emotional intelligence, interdisciplinary thinking, and digital sensitivity among employees. …”
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