MHAED-Net: a lightweight multiscale hybrid attention encoder-decoder network for the efficient segmentation of industrial forging images.

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Title: MHAED-Net: a lightweight multiscale hybrid attention encoder-decoder network for the efficient segmentation of industrial forging images.
Authors: Wan, Miao1,2, Lin, Y. C.1,2, yclin@csu.edu.cn, Li, Shu-Xin3, Wu, Gui-Cheng1,2, Zeng, Ning-Fu1,2, Zhang, Song1,2, Chen, Ming-Song1,2, Li, Chao4, Zhan, Xiao-Dong4, Qiu, Yu-Liang5
Source: Journal of Supercomputing; Jun2025, Vol. 81 Issue 8, p1-36, 36p
Database: Applied Science & Technology Source
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An: 185824635
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  Data: MHAED-Net: a lightweight multiscale hybrid attention encoder-decoder network for the efficient segmentation of industrial forging images.
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  Data: <searchLink fieldCode="AU" term="%22Wan%2C+Miao%22">Wan, Miao</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Lin%2C+Y%2E+C%2E%22">Lin, Y. C.</searchLink><relatesTo>1,2</relatesTo>, <i>yclin@csu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Shu-Xin%22">Li, Shu-Xin</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Wu%2C+Gui-Cheng%22">Wu, Gui-Cheng</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zeng%2C+Ning-Fu%22">Zeng, Ning-Fu</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Song%22">Zhang, Song</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Ming-Song%22">Chen, Ming-Song</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Chao%22">Li, Chao</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhan%2C+Xiao-Dong%22">Zhan, Xiao-Dong</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Qiu%2C+Yu-Liang%22">Qiu, Yu-Liang</searchLink><relatesTo>5</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Jun2025, Vol. 81 Issue 8, p1-36, 36p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185824635
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        Value: 10.1007/s11227-025-07456-8
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        Text: English
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      – TitleFull: MHAED-Net: a lightweight multiscale hybrid attention encoder-decoder network for the efficient segmentation of industrial forging images.
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              Text: Jun2025
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