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Improving Defect Inspection Quality of Deep-Learning Network in Dense Beans by Using Hough Circle Transform for Coffee Industry.

, , , , , , , , , and . SMC, page 798-805. IEEE, (2019)

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Analysis and Enhancement of Conditional Random Fields Gene Mention Taggers in BioCreative II Challenge Evaluation., , , , and . LBM (Short Papers), volume 319 of CEUR Workshop Proceedings, CEUR-WS.org, (2007)Integrating high dimensional bi-directional parsing models for gene mention tagging., , , , , and . ISMB, page 286-294. (2008)A Transparently-Secure and Robust Stock Data Supply Framework for Financial-Technology Applications., , , , , , , , and . ACIIDS, volume 12672 of Lecture Notes in Computer Science, page 616-629. Springer, (2021)The RFID-based real-time monitoring system and the management algorithm of RFIDs., , , , and . ICMLC, page 499-503. IEEE, (2017)Learning Phenotype Mapping for Integrating Large Genetic Data., , , , , and . BioNLP@ACL, page 19-27. Association for Computational Linguistics, (2011)Improving Defect Inspection Quality of Deep-Learning Network in Dense Beans by Using Hough Circle Transform for Coffee Industry., , , , , , , , , and . SMC, page 798-805. IEEE, (2019)A Labor-Efficient GAN-based Model Generation Scheme for Deep-Learning Defect Inspection among Dense Beans in Coffee Industry., , , , , , , , , and . CASE, page 263-270. IEEE, (2019)SE-U-Net: Contextual Segmentation by Loosely Coupled Deep Networks for Medical Imaging Industry., , , , and . ACIIDS, volume 12672 of Lecture Notes in Computer Science, page 678-691. Springer, (2021)