Fault Diagnosis Method for Shearer Arm Gear Based on Improved S-Transform and Depthwise Separable Convolution. [PDF]
Wu H, Zhou H, Liu C, Cheng G, Pang Y.
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MM-3D Unet: development of a lightweight breast cancer tumor segmentation network utilizing multi-task and depthwise separable convolution. [PDF]
Wang X +6 more
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Gearbox Fault Diagnosis Under Noise and Variable Operating Conditions Using Multiscale Depthwise Separable Convolution and Bidirectional Gated Recurrent Unit with a Squeeze-and-Excitation Attention Mechanism. [PDF]
Ma X, Zhai K, Luo N, Zhao Y, Wang G.
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[Ischemic stroke infarct segmentation model based on depthwise separable convolution for multimodal magnetic resonance imaging]. [PDF]
Jin Y, Wang M, Chen J, Li Y.
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[A lightweight classification network for single-lead atrial fibrillation based on depthwise separable convolution and attention mechanism]. [PDF]
Hong Y, Zhang X, Lin M, Wu Q, Chen C.
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DSR-VGG: A Lightweight Depthwise Separable Residual VGG Architecture for Nasopharyngeal Histopathological Image Classification. [PDF]
Abdullahi MK, Mansor S, Ahmad Fauzi MF.
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TFPAG-Net: A Time-Frequency Dual-Branch Fusion and PCMCI-Based Association-Guided Network for IIoT Intrusion Detection. [PDF]
Lei H, Li S, Li W, Wang S, Ni Y.
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A Dual-Path Attention and Multi-Scale Fusion Network for Crop Disease and Pest Identification. [PDF]
Zhang H, Song F, Yuan Y, Jin G, Zhang Q.
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TransLiteUNet: A Lightweight CNN-Transformer Hybrid for Efficient 3D Brain Tumor Segmentation with Sub-0.5 M Parameters. [PDF]
Zhou L, Yang Y, Yang Y.
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Multi-scale fusion convolution network with progressive dilation for real-time salient object detection of surface defects on strip steel. [PDF]
Zhang Z, Zou Y, Liu X, Zhang X.
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