Search Results - (( java implication based algorithm ) OR ( knowledge identification issues algorithm ))

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  1. 1

    A framework for malware identification based on behavior by Mohamad Fadli, Zolkipli

    Published 2012
    “…Considering the above issues, a new framework for malware identification based on behavior is proposed. …”
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    Thesis
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    Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems by Franco, Daniel Jose Da Graca Peceguina

    Published 2021
    “…Another problematic aspect is related to the intrusion detection solutions that are based on machine learning cluster algorithms to learn systems’ specifications and extract general state-based rules for attacks identification. …”
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    Thesis
  5. 5

    Discretization of integrated moment invariants for writer identification by Draman @ Muda, Azah Kamilah, Shamsuddin, Siti Maryam, Darus, Maslina

    Published 2008
    “…Successive exploration is executed to investigate for the suitability of discretization techniques in probing the issues of writer authorship. Mathematical proving and results of computer simulations are embraced to attest the feasibility of the proposed technique in Writer Identification. …”
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    Conference or Workshop Item
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    The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning by Noor, Ubair, Hassan, Raini, Dwi Handayani, Dini Oktarina

    Published 2025
    “…However, not much attention has been paid to issues related to skyline query processing over knowledge of large-scale incomplete graph databases. …”
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    Proceeding Paper
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    Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation by Toha, Siti Fauziah, Abd Latiff, I., Mohamad, M., Tokhi, M Osman

    Published 2009
    “…Particle swarm optimization (PSO) is demonstrated as an efficient global search method for nonlinear complex systems without any a priory knowledge of the system structure. The proposed method formulates a modified inertia weight algorithm by using a dynamic spread factor (SF). …”
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    Proceeding Paper
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    An object properties filter for multi-modality ontology semantic image retrieval by Sulaiman, Mohd Suffian, Nordin, Sharifalillah, Jamil, Nursuriati

    Published 2017
    “…To achieve this, a multi-modality ontology semantic image framework was proposed, comprising of four main components which were resource identification, information extraction, knowledge-based construction and retrieval mechanism.A new approach, namely object properties filter is proposed by customizing the semantic image retrieval algorithm and the graphical user interface to facilitate the user to engage with the machine i.e. computers, in order to enhance the retrieval performance.The experiment results showed that the proposed approach delivered better results compared to the approach that did not use the object properties filter based on probability precision measurement.…”
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    Article
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    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…Ten knowledge and domain experts provided positive feedback on the framework's verification, affirming the framework's robustness. …”
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  14. 14

    Social media in shaping public opinion roles and impact: a systematic review by Dasad Latif, Muhammad Ahsan Samad, Rinawulandari, Shamsiah Abd Kadir

    Published 2024
    “…The findings highlighted social media potential for real-time public opinion monitoring, facilitating engagement between policymakers and citizens, and early identification of emerging issues. However, challenges such as information credibility and algorithmic curation of content were also noted. …”
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    Article
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    Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process by Kong, Hong Shim

    Published 2008
    “…Applications of fuzzy logic and neural network have been considered too to solve the machining problem; and have shown good potential. But, some issues remain unaddressed. In fuzzy logic, among the issues are tedious process of rules identification and inability to self-adapt to changing machining conditions. …”
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  16. 16

    Herbal plant image classification using transfer learning and fine-tuning deep learning model by Khalid, Fatimah, Romle, Amirul Azuani

    Published 2024
    “…Transfer learning is an algorithm that learns to recognize image features in one domain and having the capability to generalize the learnt knowledge to a new domain with a smaller dataset. …”
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    Article
  17. 17

    Multi-modality ontology semantic image retrieval with user interaction model / Mohd Suffian Sulaiman by Sulaiman, Mohd Suffian

    Published 2020
    “…Four main components comprising resource identification, information extraction, knowledge-based construction and image retrieval mechanism are the main tasks need to be implemented in this model. …”
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    Herbal plant image classification using transfer learning and fine-tuning deep learning model by Khalid, Fatimah, Romle, Amirul Azuani

    Published 2024
    “…Transfer learning is an algorithm that learns to recognize image features in one domain and having the capability to generalize the learnt knowledge to a new domain with a smaller dataset. …”
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    Article
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    Spectral and prosodic feature extractions for classical Arabic accents recognition among Malay speakers / Noor Jamaliah Ibrahim by Noor Jamaliah , Ibrahim

    Published 2021
    “…Understanding and modeling the individual variation in spoken language are considered a fundamental challenge in the field of Automatic Speech Recognition (ASR) and accent identification. Differences in individual accent has been one of the critical issues in Classical Arabic (CA) recitation, particularly among the Malay speakers. …”
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    Thesis
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    Computational stylometric model for oath and oath-like expressions in Quranic text by Alqurneh, Ahmad

    Published 2014
    “…Therefore, in this research, the scalability issue concerns on how far stylometric features are scalable to detect implicit oaths that can lead to the identification of the oath taker. …”
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    Thesis