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Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information.

, , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (5): 1546-1554 (2020)

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Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT., , and . Comput. Biol. Medicine, (March 2024)Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information., , , , , and . ICIC (1), volume 10954 of Lecture Notes in Computer Science, page 527-532. Springer, (2018)Automatic Classification of Fetal Heart Rate Based on Convolutional Neural Network., , , , , , , and . IEEE Internet Things J., 6 (2): 1394-1401 (2019)A novel edge-enabled SLAM solution using projected depth image information., , , , , , and . Neural Comput. Appl., 32 (19): 15369-15381 (2020)Defect Screening on Nuclear Power Plant Concrete Structures: A Two-staged Method Based on Contrastive Representation Learning., , , , , and . ICARM, page 691-697. IEEE, (2023)Geometry-Aware Guided Loss for Deep Crack Recognition., , , , , and . CVPR, page 4693-4702. IEEE, (2022)Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (5): 1546-1554 (2020)Shift-ConvNets: Small Convolutional Kernel with Large Kernel Effects., , , and . CoRR, (2024)Visual Explanations: Activation-Based Acute Lymphoblastic Leukemia Cell Classification., , , , , , and . ICDL, page 61-66. IEEE, (2023)A GCN-Based Decision-Making Network for Autonomous UAV Landing., , , , and . ICARM, page 652-657. IEEE, (2020)