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  1. 1
    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning

    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…For next, instead of k-means clustring, Fuzzy cmeans clustering is combined with Spatial Pyramid Matching image representation to improve the accuracy of classification results. …”
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  2. 2
    Iban Plaited Mat Motif Classification using Adaptive Smoothing

    Iban Plaited Mat Motif Classification using Adaptive Smoothing by Silvia, Joseph

    Published 2024
    “…BRISK+RANSAC emerged as the top performer, achieving an average matching accuracy of 85.4%. BRISK+RANSAC encountered challenges in handling unresolved classes in sets with blur, illumination, and viewpoint changes. …”
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  3. 3
    Data‑driven audiogram classifer using data normalization and multi‑stage feature selection

    Data‑driven audiogram classifer using data normalization and multi‑stage feature selection by Abeer Elkhouly, Allan MelvinAndrew, HaslizaA Rahim, NidhalAbdulaziz, Mohd FareqAbd Malek, Shafquzzaman Siddique

    Published 2023
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  4. 4
    Risk perception modeling based on physiological and emotional responses / Ding Huizhe

    Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

    Published 2024
    “…To validate the research findings, a second experiment was conducted in a construction scenario, still utilizing two clips with closely matched risk degrees. It was demonstrated that the primary results derived from statistical analysis and machine learning modelling were remarkably consistent, thereby confirming the effectiveness and generalization of the proposed weight adjustment algorithm, particularly in situations with closely matched risk levels. …”
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  5. 5
    Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control

    Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control by Mohd Hanafi, Muhammad Sidik

    Published 2020
    “…Motor neuron transmit electrical potential to muscle fibre to perform isometric, concentric or eccentric contraction. These electrical changes that is called Motor Unit Action Potential (MUAP) can be acquired and amplified by electrodes located on targeted muscles changes can be recorded and analysed using sEMG devices. …”
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  6. 6
    Auditory evoked potential in normal hearing and sensorineural hearing loss among Malay and Chinese adults / Ibrahim Amer Ibrahim

    Auditory evoked potential in normal hearing and sensorineural hearing loss among Malay and Chinese adults / Ibrahim Amer Ibrahim by Ibrahim Amer , Ibrahim

    Published 2019
    “…This study presents accurate and novel formulated indices for classifying brain auditory responses and human hearing abilities. A classification algorithm was used to classify the CAEP responses evoked from multiple auditory stimulus for normal hearing subjects and SNHL patients in the case of both ethnicities. …”
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