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Trajectory outlier detection approach based on common slices sub-sequence.

, , , and . Appl. Intell., 48 (9): 2661-2680 (2018)

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A Novel Prediction Method for Zinc-Binding Sites in Proteins by an Ensemble of SVM and Sample-Weighted Probabilistic Neural Network., , , and . IEEE Access, (2019)Trajectory outlier detection approach based on common slices sub-sequence., , , and . Appl. Intell., 48 (9): 2661-2680 (2018)Integrative Method Based on Linear Regression for the Prediction of Zinc-Binding Sites in Proteins., , , and . IEEE Access, (2017)Neighborhood relevant outlier detection approach based on information entropy., , , and . Intell. Data Anal., 20 (6): 1247-1265 (2016)Multi-objective route recommendation method based on Q-learning algorithm., , , , , and . J. Intell. Fuzzy Syst., 44 (4): 7009-7025 (2023)BIORV-NSA: Bidirectional inhibition optimization r-variable negative selection algorithm and its application., , and . Appl. Soft Comput., (2015)Using information entropy and a multi-layer neural network with trajectory data to identify transportation modes., , , , , and . Int. J. Geogr. Inf. Sci., 35 (7): 1346-1373 (2021)Abnormal-trajectory detection method based on sub-trajectory classification and outlier-factor acquisition., , , , , and . J. Intell. Fuzzy Syst., 46 (4): 8477-8496 (2024)Integrative computing method for the prediction of zinc-binding sites in proteins., , , , and . IJCNN, page 3259-3264. IEEE, (2017)Abnormal-Trajectory Detection Method Based on Variable Grid Partitioning., , , , , , and . ISPRS Int. J. Geo Inf., 12 (2): 40 (2023)