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基于深层卷积残差网络集成的黑色素瘤分类方法 (Melanoma Classification Method by Integrating Deep Convolutional Residual Network)., , , , и . 计算机科学, 46 (5): 247-253 (2019)Adaptively Customizing Activation Functions for Various Layers., , , , , , и . IEEE Trans. Neural Networks Learn. Syst., 34 (9): 6096-6107 (сентября 2023)Deep k-Space Partition-Based Convolutional Networks for Fast Multimodal MRI Reconstruction., , , , и . BIBM, стр. 1280-1285. IEEE, (2023)Exploring Optimal Adaptive Activation Functions for Various Tasks., , , , , и . BIBM, стр. 2290-2297. IEEE, (2020)TDRConv: Exploring the Trade-off Between Feature Diversity and Redundancy for a Compact CNN Module., , , , , и . ICIC (4), том 14089 из Lecture Notes in Computer Science, стр. 333-344. Springer, (2023)MC-Unet: Multi-scale Convolution Unet for Bladder Cancer Cell Segmentation in Phase-Contrast Microscopy Images., , , , , и . BIBM, стр. 1197-1199. IEEE, (2019)HDConv: Heterogeneous kernel-based dilated convolutions., , , , и . Neural Networks, (2024)Energy-saving control of greenhouse climate based on MOCC strategy., , и . GEC Summit, стр. 645-650. ACM, (2009)A control optimization algorithm for greenhouse climate control problems., , и . GECCO (Companion), стр. 2081-2082. ACM, (2010)Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN., , , , , , , , , и . Comput. Biol. Medicine, (2022)