Search Results - (( java implementation phase algorithm ) OR ( sound segmentation using algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Thesis -
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Heartbeat disease diagnosis using text-based approaches
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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Heart murmur detection using supervised machine learning
Published 2022“…Murmurs are unusual heartbeat sounds that can be used to aid in diagnosing underlying health problems. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Thesis -
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Codebook excited linear predictive coding
Published 2011“…The standard CELP algorithm explained gradually as follows and its block diagram shown in figure …”
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Book Chapter -
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Evaluating endpoint detection algorithms for isolated word from Malay parliamentary speech
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. …”
Conference paper -
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Energy, Vibration And Sound Research Group (e-VIBS) School Of Science And Technology Universiti Malaysia Sabah : Bioacoustics Signal Modeling Using Time-Frequency Distribution
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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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks
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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