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Applied Science & Technology Full Text (H.W. Wilson)

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Deep neural network architectures for dysarthric speech analysis and recognition.

• Authors : Zaidi, Brahim Fares (AUTHOR); Selouani, Sid Ahmed (AUTHOR); Boudraa, Malika (AUTHOR)

Subjects: AUTOMATIC speech recognition; GAUSSIAN mixture models; CONVOLUTIONAL neural networks

• Source: Neural Computing & Applications. Aug2021, Vol. 33 Issue 15, p9089-9108. 20p.

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Sparse representation optimization of image Gaussian mixture features based on a convolutional neural network.

• Authors : Ye, Fangfang (AUTHOR); Ren, Tiaojuan (AUTHOR); Wang, Zhangquan (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; GAUSSIAN mixture models; ARTIFICIAL neural networks

• Source: Neural Computing & Applications. Aug2022, Vol. 34 Issue 15, p12427-12437. 11p.

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Weakly supervised semantic segmentation by iteratively refining optimal segmentation with deep cues guidance.

• Authors : Al-Huda, Zaid (AUTHOR); Peng, Bo (AUTHOR); Yang, Yan (AUTHOR)

Subjects: PIXELS; GAUSSIAN mixture models; CONVOLUTIONAL neural networks

• Source: Neural Computing & Applications. Aug2021, Vol. 33 Issue 15, p9035-9060. 26p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Graph deep learning enabled spatial domains identification for spatial transcriptomics.

• Authors : Liu, Teng¹ (AUTHOR); Fang, Zhao-Yu² (AUTHOR); Li, Xin¹ (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; GAUSSIAN mixture models; DEEP learning

• Source: Briefings in Bioinformatics. May2023, Vol. 24 Issue 3, p1-14. 14p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Walk-Steered Convolution for Graph Classification.

• Authors : Jiang, Jiatao (AUTHOR); Xu, Chunyan (AUTHOR); Cui, Zhen (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; GAUSSIAN mixture models; TRAILS

• Source: IEEE Transactions on Neural Networks & Learning Systems. Nov2020, Vol. 31 Issue 11, p4553-4566. 14p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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