Search Results - (( java implication force algorithm ) OR ( between perceptions based algorithm ))

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    Behavioural influence of TikTok’s algorithm recommendations on users’ engagement and users’ self-persuasion / Siti Khadijah Amir Hamzah, Ahlam Abdul Aziz and Shazleen Mohamed by Amir Hamzah, Siti Khadijah, Abdul Aziz, Ahlam, Mohamed, Shazleen

    Published 2025
    “…The algorithm recommends content based on user interactions, but its opaque nature complicates understanding of how it prioritizes content and potential biases. …”
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    HAPTIC VISUALIZATION USING VISUAL TEXTURE INFORMATION by Adi, Waskito

    Published 2011
    “…The design of the proposed framework involves haptic texture rendering algorithm and query algorithm. The proposed framework integrates computer haptic and content based image retrieval (CBIR) where haptic texture rendering is performed based on extracted cloth data. …”
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    Thesis
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    Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli by Ramli, Muhammad Izzad

    Published 2018
    “…Consequently, new rules and algorithm that is MustFront rule, limitation rule, and two-steps pitch contour algorithm are introduced to increase the synthesized speech quality. …”
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    Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzu... by Muhd Zahidi Ridzuan, Muhammad Hafeez Hakimi, Abd Halim, hairul Nizam

    Published 2023
    “…It employs Naïve Bayes algorithm and Plotly library in Python to provide insights into customer perceptions, enhancing the fast food brand experience in Malaysia. …”
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    Book Section
  10. 10

    Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzu... by Muhd Zahidi Ridzuan, Muhammad Hafeez Hakimi, Abd Halim, Khairul Nizam

    Published 2023
    “…It employs the Naïve Bayes algorithm and Plotly library in Python to provide insights into customer perceptions, enhancing the fast-food brand experience in Malaysia. …”
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    Book Section
  11. 11

    Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin by Samsudin, Fahmi

    Published 2023
    “…It encompasses different types, such as rule-based AI using if-then statements for decision-making, machine learning which employs algorithms to analyze and learn from data, and deep learning utilizing artificial neural networks to learn from extensive datasets. …”
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    Does organizational culture matter in the relationship between trust and SMEs performance by Gorondutse, Abdullahi Hassan, Abdullah, Haim Hilman

    Published 2018
    “…Research limitations/implications – The study used perceptions of owner/managers and only small-scale industries. …”
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    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
    “…To address this, A reward function is being developed to deal with the challenge of multiple vehicle collision avoidance. A perception network structure based on formation and on actor-critic methodologies is employed to enhance the decision-making process. …”
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    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
    “…To address this, A reward function is being developed to deal with the challenge of multiple vehicle collision avoidance. A perception network structure based on formation and on actor-critic methodologies is employed to enhance the decision-making process. …”
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    Article
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    The relationships between brand attributes and word of mouth on brand identity and brand image by Al Kasassbh, Hazem Mohamad Abd Al Ghany

    Published 2017
    “…It was found that brand identity mediated significantly the relationship between brand attributes, WOM and brand image. Overall, the results provide support for the attribution theory in that brand attributes, namely brand relevance, brand consistency, brand sustainability, brand credibility, brand uniqueness and word of mouth can help shape consumers' perceptions which ultimately result in harnessing brand image. …”
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    Thesis
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    A technique for checking the adequacy of formal model by Shkarupylo, Vadym V., Jamil Alsayaydeh, Jamil Abedalrahim, Dusheba, Valentyna V., Tomičić, Igor, Chemeris, Alexander A.

    Published 2021
    “…To this end, corresponding technique has been proposed. Named technique is based on differentiation between the concepts of analytical plane of model perception and the concepts of corresponding implementation plane. …”
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    Permutation entropy based full-reference image quality qssessment by Baqar, Mohtashim *, Lau, Sian Lun *, Mansoor Ebrahim

    Published 2019
    “…Motivated by the need of appropriate objective models, we propose a novel objective IQA algorithm, namely, Permutation Entropy Deviation Index (PEDI), based on the working principle of permutation entropy (PE). …”
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    Conference or Workshop Item
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    Optimization of abrasive machining of ductile cast iron using water based SiO2 nanocoolant : a radial basis function by Azma Salwani, Ab Aziz

    Published 2012
    “…Artificial neural network (ANN) model is developed for predicting the results of the surface roughness and MRR. Multi-Layer Perception (MLP) along with batch back propagation algorithm are used. …”
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    Undergraduates Project Papers
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    ERNN: A biologically inspired feedforward neural network to discriminate emotion from EEG signal by Khosrowabadi, Reza, Quek, Chai, Ang, Kai Keng, Abdul Rahman, Abdul Wahab

    Published 2014
    “…Discrimination of emotions from EEG is investigated based on valence and arousal levels. The accuracy of the proposed neural network is compared with various feature extraction methods and feedforward learning algorithms. …”
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