Global ETD Search

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Showing 1 to 5 of 5 for “"Spatio-Temporal Prediction"”.

  1. Potential for using climate forecasts in spatio-temporal prediction of dengue fever incidence in Malaysia submitted

    … extent can climate variables be used to assist predictions of dengue fever incidence in Malaysia?’. The study proposes a potential framework of modelling spatio-temporal variation in dengue risk on a national scale in Malaysia using both climate and non-climate information. Early chapters set …

    uthm Repository record for Potential for using climate forecasts in spatio-temporal prediction of dengue fever incidence in Malaysia submitted (opens in a new tab)

  2. Robust Prediction of Large Spatio-Temporal Datasets

    … and efficient design of Student-t based Robust Spatio-Temporal Prediction, namely, St-RSTP, to provide estimation based on observations over spatio-temporal neighbors. It is crucial to many applications in geographical information systems, medical imaging, urban planning, economy study, and …

    vt Repository record for Robust Prediction of Large Spatio-Temporal Datasets (opens in a new tab)

  3. Noise Reduction with Microphone Arrays for Speaker Identification

    … multi-channel Wiener filtering, and Spatial-Temporal Prediction filtering. Each algorithm is prototyped and filter performance is evaluated using various simulations and experiments. A three-dimensional noise model is developed to simulate and compare the performance of the above methods and …

    calpoly Repository record for Noise Reduction with Microphone Arrays for Speaker Identification (opens in a new tab)

  4. Efficient Algorithms for Mining Large Spatio-Temporal Data

    Knowledge discovery on spatio-temporal datasets has attracted<br />growing interests. Recent advances on remote sensing technology mean<br />that massive amounts of spatio-temporal data are being collected,<br />and its volume keeps increasing at an ever faster pace. It becomes<br />critical to …

    vt Repository record for Efficient Algorithms for Mining Large Spatio-Temporal Data (opens in a new tab)