Search Results - (( sound segmentation using algorithm ) OR ( java implementation tree algorithm ))

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  1. 1
    Segmenting medical images using mathematical morphology and the improved watershed transform.

    Segmenting medical images using mathematical morphology and the improved watershed transform. by Cahyo Crysdian, Cahyo Crysdian, Md. Sap, Mohd. Noor, Selamat, Harihodin

    Published 2001
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  2. 2
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  3. 3
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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    Thesis
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  4. 4
    Heartbeat disease diagnosis using text-based approaches

    Heartbeat disease diagnosis using text-based approaches by Khorasani, Ehsan Safar

    Published 2011
    “…Another technique that it used for diagnosis the heart problem is Hidden Markov Model (HMM) that they suggest HMM for segmentation of heart sound recorded for clinical and classification purpose. …”
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    Thesis
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  5. 5
    Heart murmur detection using supervised machine learning

    Heart murmur detection using supervised machine learning by Moulana, Saad Hafez, Luqman, Ahmad, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Wani, Sharyar, Ibrahim, Adamu Abubakar

    Published 2022
    “…Murmurs are unusual heartbeat sounds that can be used to aid in diagnosing underlying health problems. …”
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  6. 6
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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    Thesis
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  7. 7
    Codebook excited linear predictive coding

    Codebook excited linear predictive coding by Shah, Asadullah, Shaikh, Muniba

    Published 2011
    “…The standard CELP algorithm explained gradually as follows and its block diagram shown in figure …”
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  8. 8
    Evaluating endpoint detection algorithms for isolated word from Malay parliamentary speech

    Evaluating endpoint detection algorithms for isolated word from Malay parliamentary speech by Seman N., Bakar Z.A., Bakar N.A., Mohamed H.F., Abdullah N.A.S., Ramakrisnan P., Ahmad S.M.S.

    Published 2023
    “…In this study, the endpoint detection and speech segmentation task is achieved by using the short-time energy (STE) and short-time zero crossing (STZC) measures and combination of both approaches. …”
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  9. 9
    Energy, Vibration And Sound Research Group (e-VIBS) School Of Science And Technology Universiti Malaysia Sabah : Bioacoustics Signal Modeling Using Time-Frequency Distribution

    Energy, Vibration And Sound Research Group (e-VIBS) School Of Science And Technology Universiti Malaysia Sabah : Bioacoustics Signal Modeling Using Time-Frequency Distribution by Jedol Dayou, Ng, Chee Han, Ho, Chong Mun, Abdul Hamid Ahmad, Mohd Noh Dalimin, Sithi V. Muniandy

    Published 2011
    “…To establish a base trial data, the widely used spectral centroid (SC) and wavelet centroid (WC) were used as reference. …”
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    Research Report
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  10. 10
    Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks

    Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein, Hussein A. M, Abdul Rahim, Sharafiz, Mustapha, Faizal B., Krishnan, Prajindra S., Abdul Jalil, Nawal Aswan

    Published 2025
    “…The study focuses on three specific faults: bolt looseness, scale deposits, and crack occurrence at pipeline supports, which were replicated on a pipeline segment located at the Sound and Vibration Research Group (SVRG) at University Putra Malaysia (UPM). …”
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