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An efficient and accurate deep learning method for tree species classification that integrates depthwise separable convolution and dilated convolution using hyperspectral data.

• Authors : Mengni Fu^1,2; Chi Lu^1,2; Yingwu Mao³

• Source: International Journal of Digital Earth. Jan2024, Vol. 17 Issue 1, p1-25. 25p.

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Multi-Scale Depthwise Separable Convolution for Semantic Segmentation in Street–Road Scenes.

• Authors : Dai, Yingpeng¹ (AUTHOR) ; Li, Chenglin² (AUTHOR) ; Su, Xiaohang³ (AUTHOR)

Subjects: *MOBILE operating systems; *NETWORK performance; *ALGORITHMS

• Source: Remote Sensing. May2023, Vol. 15 Issue 10, p2649. 18p.

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MS-CheXNet: An Explainable and Lightweight Multi-Scale Dilated Network with Depthwise Separable Convolution for Prediction of Pulmonary Abnormalities in Chest Radiographs.

• Authors : Shetty, Shashank^1,2 (AUTHOR) ; S., Ananthanarayana V¹ (AUTHOR); Mahale, Ajit³ (AUTHOR)

Subjects: *ARTIFICIAL neural networks; *CHEST X rays; *CONVOLUTIONAL neural networks

• Source: Mathematics (2227-7390). Oct2022, Vol. 10 Issue 19, p3646. 29p.

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Hybrid Convolutional Network Combining Multiscale 3D Depthwise Separable Convolution and CBAM Residual Dilated Convolution for Hyperspectral Image Classification.

• Authors : Hu, Yicheng¹ (AUTHOR) ; Tian, Shufang¹ (AUTHOR) ; Ge, Jia² (AUTHOR)

Subjects: *IMAGE recognition (Computer vision); *MULTISPECTRAL imaging; *CONVOLUTIONAL neural networksSALINAS (Calif.)

• Source: Remote Sensing. Oct2023, Vol. 15 Issue 19, p4796. 25p.

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Attention Mechanism and Depthwise Separable Convolution Aided 3DCNN for Hyperspectral Remote Sensing Image Classification.

• Authors : Li, Wenmei^1,2,3 (AUTHOR) ; Chen, Huaihuai^1,3 (AUTHOR) ; Liu, Qing^1,3 (AUTHOR)

Subjects: *HYPERSPECTRAL imaging systems; *REMOTE sensing; *CONVOLUTIONAL neural networksUNIVERSITA di Pavia ; UNIVERSITY of Houston

• Source: Remote Sensing. May2022, Vol. 14 Issue 9, p2215-2215. 26p.

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Real-Time Vehicle Sound Detection System Based on Depthwise Separable Convolution Neural Network and Spectrogram Augmentation.

• Authors : Wang, Chaoyi¹ (AUTHOR) ; Song, Yaozhe¹ (AUTHOR); Liu, Haolong¹ (AUTHOR)

Subjects: *CONVOLUTIONAL neural networks; *ARTIFICIAL neural networks; *SOUND systems

• Source: Remote Sensing. Oct2022, Vol. 14 Issue 19, p4848. 13p.

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Underwater Acoustic Target Recognition Based on Depthwise Separable Convolution Neural Networks.

• Authors : Gang Hu^1,2 (AUTHOR) ; Kejun Wang¹ (AUTHOR) ; Liangliang Liu¹ (AUTHOR)

• Source: Sensors (14248220). 2/15/2021, Vol. 21 Issue 4, p1-20. 20p. 6 Diagrams, 8 Charts, 7 Graphs.

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COMPOSV: compound feature extraction and depthwise separable convolution-based online signature verification.

• Authors : Vorugunti, Chandra Sekhar¹ (AUTHOR) ; Pulabaigari, Viswanath¹ (AUTHOR); Mukherjee, Prerana² (AUTHOR)

Subjects: *FEATURE extraction; *DEEP learning

• Source: Neural Computing & Applications. Jul2022, Vol. 34 Issue 13, p10901-10928. 28p.

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A Lightweight Dangerous Liquid Detection Method Based on Depthwise Separable Convolution for X-Ray Security Inspection.

• Authors : Liu, Dongming^1,2 (AUTHOR); Liu, Jianchang^1,2 (AUTHOR); Yuan, Peixin³ (AUTHOR)

Subjects: *NEUROSCIENCES; *X-rays; *X-ray detection

• Source: Computational Intelligence & Neuroscience. 1/18/2022, p1-14. 14p.

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An improved architecture for urban building extraction based on depthwise separable convolution.

• Authors : Zhang, Xiaoqing¹ (AUTHOR); Zheng, Yongguo¹ (AUTHOR); Liu, Weike² (AUTHOR)

Subjects: *CONVOLUTIONAL neural networks; *SMART cities; *URBAN policy

• Source: Journal of Intelligent & Fuzzy Systems. 2020, Vol. 38 Issue 5, p5821-5829. 9p.

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