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Design and application of coal gangue sorting system based on deep learning.

• Authors : Zhang K; Shandong Provincial Key Laboratory of Robotics and Intelligent Technology, Shandong University of Science and Technology, Qianwangang Road 579, Qingdao, 266590, Shandong, China.; Equipment Management Center, Yankuang Energy Group Co., Ltd, Kuangjiandong Road 1085, Jining, 273500, Shandong, China.

• Source: Scientific reports [Sci Rep] 2024 Jul 17; Vol. 14 (1), pp. 16508. Date of Electronic Publication: 2024 Jul 17.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Design and application of coal gangue sorting system based on deep learning

• Authors : Kun Zhang; Zhen Wang; Zengbao Zhang

Subjects: Coal gangue; Gangue sorting; Gangue detection

• Source: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)

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Enhanced matrix inference with Seq2seq models via diagonal sorting.

• Authors : Peng W; Department of Computer Science, Guizhou University, Jiaxiu South Road, Guiyang, 550000, Guizhou, China.; State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Jiaxiu South Road, Guiyang, 550000, Guizhou, China.

• Source: Scientific reports [Sci Rep] 2024 Jan 09; Vol. 14 (1), pp. 883. Date of Electronic Publication: 2024 Jan 09.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Enhanced matrix inference with Seq2seq models via diagonal sorting

• Authors : Wei Peng; Yisong Wang; Maonian Wu

Subjects: Medicine; Science

• Source: Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)

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Classifying grains using behaviour-informed machine learning.

• Authors : Laudari S; Particles and Grains Laboratory, School of Civil Engineering, The University of Sydney, Sydney, NSW, 2006, Australia.; Marks B

Subjects: Edible Grain*/Edible Grain*/Edible Grain*/chemistry ; Recycling*; Agriculture/Agriculture/Agriculture/methods

• Source: Scientific reports [Sci Rep] 2022 Aug 17; Vol. 12 (1), pp. 13915. Date of Electronic Publication: 2022 Aug 17.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Classifying grains using behaviour-informed machine learning

• Authors : Sudip Laudari; Benjy Marks; Pierre Rognon

Subjects: Medicine; Science

• Source: Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)

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Label-free imaging flow cytometry for analysis and sorting of enzymatically dissociated tissues.

• Authors : Herbig M; Biotechnology Center, Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Dresden, Germany.; Center for Regenerative Therapies Dresden (CRTD), Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Dresden, Germany.

Subjects: Microfluidic Analytical Techniques* ; Neural Networks, Computer* ; Software*

• Source: Scientific reports [Sci Rep] 2022 Jan 19; Vol. 12 (1), pp. 963. Date of Electronic Publication: 2022 Jan 19.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Label-free imaging flow cytometry for analysis and sorting of enzymatically dissociated tissues

• Authors : Maik Herbig; Karen Tessmer; Martin Nötzel

Subjects: Medicine; Science

• Source: Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)

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No impact of transgenic cry1Ie maize on the diversity, abundance and composition of soil fauna in a 2-year field trial.

• Authors : Fan C; Jilin Provincial Key Laboratory of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, 130033, China.; Jilin Agricultural University, Changchun, 130118, China.

Subjects: Ecosystem* ; Soil*/Soil*/Soil*/parasitology; Plants, Genetically Modified/Plants, Genetically Modified/Plants, Genetically Modified/*adverse effects

• Source: Scientific reports [Sci Rep] 2019 Jul 17; Vol. 9 (1), pp. 10333. Date of Electronic Publication: 2019 Jul 17.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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No impact of transgenic cry1Ie maize on the diversity, abundance and composition of soil fauna in a 2-year field trial

• Authors : Fengci Wu; Chunmiao Fan; Junqi Yin

Subjects: 0301 basic medicine; Insecta; Environmental economics

• Source: Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)Scientific Reports

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