首页> 外文OA文献 >High-performance OCR preclassification trees

【2h】

High-performance OCR preclassification trees

机译：高性能OCR预分类树

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Henry Baird; Colin L. Mallows;
展开▼
作者单位

展开▼
年度 2007
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. TiO2 single crystalline nanorod compact layer for high-performance CH3NH3PbI3 perovskite solar cells with an efficiency exceeding 17% ocr [J] . He Xin, Wu Jihuai, Tu Yongguang, Journal of power sources . 2016,第nova15期

机译：用于高效CH3NH3PbI3钙钛矿型太阳能电池的TiO2单晶纳米棒致密层，效率超过17％ocr
2. Statistical syntactic methods for high-performance OCR [J] . Lucas S., Amiri A. IEE Proceedings. Part K . 1996,第1期

机译：高性能OCR的统计语法方法
3. Prediction of OCR and s_u from PCPT data using tree-based data fusion techniques [J] . Griffin Erin P., Kurup Pradeep U. Journal of geotechnical and geoenvironmental engineering . 2017,第9期

机译：使用基于树的数据融合技术从PCPT数据预测OCR和s_u
4. High-performance OCR preclassification trees [C] . Henry S. Baird, ATT Bell Labs., Murray Hill, Document Recognition II . 1995

机译：高性能OCR预分类树
5. Design, Development, and Validation of a High-Performance Tilt-Frame Unmanned Aerial System for Landing in Tree Orchards [D] . Anishchenko, Ilya. 2018

机译：高性能可倾斜框架果园降落无人机系统的设计，开发和验证
6. In Vitro Evaluation of the Combination of Melaleuca alternifolia (Tea Tree) Oil and Dimethyl Sulfoxide (DMSO) against Trophozoites and Cysts of Acanthamoeba Strains. Oxygen Consumption Rate (OCR) Assay as a Method for Drug Screening [O] . Tania Martín-Pérez, Irene Heredero-Bermejo, Cristina Verdú-Expósito, 2021

机译：体外评价Melaleuca allyifolia（茶树）油和二甲基亚甲醚（DMSO）与刺激物和刺瓜菌株囊肿的组合。氧气消耗率（OCR）测定作为药物筛选方法
7. In Vitro Evaluation of the Combination of Melaleuca alternifolia (Tea Tree) Oil and Dimethyl Sulfoxide (DMSO) against Trophozoites and Cysts of Acanthamoeba Strains. Oxygen Consumption Rate (OCR) Assay as a Method for Drug Screening [O] . Tania Martín-Pérez, Irene Heredero-Bermejo, Cristina Verdú-Expósito, 2021

机译：体外评价Melaleuca allyifolia（茶树）油和二甲基亚甲醚（DMSO）与刺激物和刺瓜菌株囊肿的组合。氧气消耗率（OCR）测定作为药物筛选方法

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

客服微信
服务号