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A Sparse Auto Encoder Deep Process Neural Network Model and its Application., , and . Int. J. Comput. Intell. Syst., 10 (1): 1116-1131 (2017)Dim target detection and tracking based on empirical mode decomposition., , and . Signal Process. Image Commun., 23 (10): 788-797 (2008)A CNN-RBPNN Model With Feature Knowledge Embedding and its Application to Time-Varying Signal Classification., , , , and . IEEE Access, (2020)A Fuzzy Radial Basis Inference Network With Grouped Signal Feature Embedding and Its Application in Multi-Source Signals Classification., , , and . IEEE Access, (2021)A dense R-CNN multi-target instance segmentation model and its application in medical image processing., , , , and . IET Image Process., 16 (9): 2495-2505 (2022)Towards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm., , , , and . J. Cloud Comput., 13 (1): 108 (December 2024)Automatic sedimentary microfacies identification from logging curves based on deep process neural network., , , , and . Clust. Comput., 22 (5): 12451-12457 (2019)Research on laser weld bonding of duel phase steel to aluminium alloy., , , and . Int. J. Manuf. Res., 11 (3): 209-220 (2016)A weighted fuzzy process neural network model and its application in mixed-process signal classification., , , , and . Expert Syst. Appl., (2021)A CNN model embedded with local feature knowledge and its application to time-varying signal classification., , , and . Neural Networks, (2021)