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  1. 1
    Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali

    Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali by Mohd Razali, Farah Nabila

    Published 2025
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  2. 2
    Capability requirements on fraud prevention in the Nigeria public sector: perception of forensic accountants and auditors

    Capability requirements on fraud prevention in the Nigeria public sector: perception of forensic accountants and auditors by Lateef, Saheed Ademola

    Published 2017
    “…(PLS-SEM)version 3.2.3). Six hypotheses are developed in the study. Three were tested through the use of the PLS-SEM Algorithm and Bootstrapping techniques regarding their internal consistency reliability, convergent validity, discriminant validity, and direct relationships. …”
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  3. 3
    Density based subspace clustering: a case study on perception of the required skill

    Density based subspace clustering: a case study on perception of the required skill by Rahmat Widia, Sembiring

    Published 2014
    “…Real datasets are from education, particularly regarding the perception of students’ industrial training and from industries due to required skill. …”
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  4. 4
    Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli

    Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli by Zulkipeli, Alis Farhana

    Published 2025
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  5. 5
    Density subspace clustering: a case study on perception of the required skill

    Density subspace clustering: a case study on perception of the required skill by Sembiring, Rahmat Widia

    Published 2014
    “…Real datasets are from education, particularly regarding the perception of students’ industrial training and from industries due to required skill. …”
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  6. 6
    Auto raise hand in Microsoft teams (API/Extension)

    Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

    Published 2023
    “…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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  7. 7
    The effects of COVID-19 in global warming through the application of data science

    The effects of COVID-19 in global warming through the application of data science by Rafia, Tasnim, Mahmood Hasan, Tanveer, Hassan, Raini

    Published 2022
    “…The focal point is concerning two contrasted states of global warming whether Covid-19 has any influence in this regard. Some contemporary temperature datasets, Nitrogen Dioxide emission datasets, that incorporate years (2016 to 2021), have been analysed, using machine learning algorithms in order to accomplish the assertion. …”
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  8. 8
    Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles

    Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

    Published 2022
    “…Two aspects (single-agent and multiagent) have assessed the efficiency of algorithms. Every aspect has been analyzed regarding the traffic flows: (1) the controlling efficiency of unexpected traffic situations by the sudden slowdown, (2) abrupt lane change, and (3) smoothly reaching the destination. …”
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  9. 9
    Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles

    Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

    Published 2022
    “…Two aspects (single-agent and multi-agent) have assessed the efficiency of algorithms. Every aspect has been analyzed regarding the traffic flows: (1) the controlling efficiency of unexpected traffic situations by the sudden slowdown, (2) abrupt lane change, and (3) smoothly reaching the destination. …”
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