Search Results - (( developing traits identification algorithm ) OR ( java implication based algorithm ))

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  1. 1
    Tag clouds algorithm with the inclusion of personality traits

    Tag clouds algorithm with the inclusion of personality traits by Ahmad Affandi, Supli

    Published 2015
    “…The algorithm was developed based on three theories of personality traits, namely Myers-Briggs Type Indicator (MBTI), Shape, and Multiple Intelligence (MI). …”
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  2. 2
    Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System

    Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System by Zainal Abidin, Zaheera, Manaf, Mazani, Shibghatullah, Abdul Samad

    Published 2013
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  3. 3
    Security system using biometric technology: Design and implementation of voice recognition system (VRS)

    Security system using biometric technology: Design and implementation of voice recognition system (VRS) by A. Rashid, Rozeha, Mahalin, Nur Hija, Sarijari, Mohd. Adib, Abdul Aziz, Ahmad Aizuddin

    Published 2008
    “…In this paper, we present an implementation of a security system based on voice identification as the access control key. Verification algorithm is developed using MATLAB (SIMULINK) function blocks which is capable of authenticating a person's identity by his or her voice pattern. …”
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  4. 4
    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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  5. 5
    Characterization and pathogenicity of Rhizoctonia spp isolated from various crop species in different agroecosystems in Malaysia

    Characterization and pathogenicity of Rhizoctonia spp isolated from various crop species in different agroecosystems in Malaysia by Rashed, Osamah Zaid Ali

    Published 2017
    “…This study investigated Rhizoctonia isolates obtained from different crops and locations based on morphological traits, pathogenicity, molecular identification and genetic diversity characterization. …”
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  6. 6
    In silico approaches for unearthing bacterial quorum-sensing inhibitors against pathogenic bacteria

    In silico approaches for unearthing bacterial quorum-sensing inhibitors against pathogenic bacteria by Pawar, Shrikant, Bramha Chari, P. V., Lahiri, Chandrajit *

    Published 2019
    “…Thus, certain group of researchers also developed machine learning tools based on support vector machine (SVM) and hidden Markov models (HMM) for the identification of novel and effective biofilm inhibitory peptides (BIPs), while others used in silico approaches for predicting and designing of antibiofilm peptides usingbidirectional recursive neural network (BRNN) and Random Forest (RF) algorithms. …”
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    Book Section
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  7. 7
    A MATLAB-Based Convolutional Neural Network Approach For Face Recognition System

    A MATLAB-Based Convolutional Neural Network Approach For Face Recognition System by Syazana Itqan, Khalid, Syafeeza, Ahmad Radzi, Norhashimah, Mohd Saad

    Published 2016
    “…The main purpose of this research is to develop a complete system of face recognition. A Graphical User Interface (GUI) in MATLAB links all the steps starting from image preprocessing to face identification process. …”
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  8. 8
    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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  9. 9
    Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review

    Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review by Hashim, Suraya, Omar, Muhd Khaizer, Ab. Jalil, Habibah, Mohd Sharef, Nurfadhlina

    Published 2022
    “…The research and practices reported in the study also show how personalized learning was used and factors that made it work, thus the finding of this paper will guide other researchers to recognize various personal traits and the identification of appropriate technology trends and activities for further studies, as well as assist developers in the development of the personalized learning system and closely related to the adaptive learning systems.…”
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