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floe    音标拼音: [fl'o]
n. 大浮冰

大浮冰

floe
n 1: a flat mass of ice (smaller than an ice field) floating at
sea [synonym: {ice floe}, {floe}]

Floe \Floe\ (fl[=o]), n. [Cf. Dan. flag af iis, iisflage, Sw.
flaga, flake, isflaga, isflake. See {Flag} a flat stone.]
A low, flat mass of floating ice.
[1913 Webster]

{Floe rat} (Zool.), a seal ({Phoca f[oe]tida}).
[1913 Webster]


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英文字典中文字典相关资料:


  • SECOM - UCI Machine Learning Repository
    A complex modern semi-conductor manufacturing process is normally under consistent surveillance via the monitoring of signals variables collected from sensors and or process measurement points However, not all of these signals are equally valuable in a specific monitoring system
  • UCI SECOM Dataset | Kaggle
    Semiconductor manufacturing process datasetKaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic
  • secom semiconductor manufacturing dataset|半导体制造数据 . . .
    The SECOM dataset is a classification dataset comprising 1567 samples and 591 attributes (590 variables and one class variable) This dataset is sourced from the UCI Machine Learning Repository and is utilized for the analysis of semiconductor manufacturing processes
  • SECOM-Data-Set README. md at main - GitHub
    In this study we propose machine learning techniques to automatically generate an accurate predictive model to predict equipment faults during the wafer fabrication process of the semiconductor industries
  • SECOM|半导体制造数据集|质量控制数据集
    SECOM数据集源自半导体制造过程中的大量传感器数据，通过高频采样和实时监控技术，收集了超过1500个样本，每个样本包含590个特征。 数据集的构建过程中，采用了多层次的数据清洗和预处理技术，确保了数据的准确性和一致性。 此外，通过引入专家知识和领域特定的算法，对数据进行了特征选择和降维处理，从而提取出最具代表性的特征，为后续分析提供了坚实的基础。 SECOM数据集以其高维度和复杂性著称，涵盖了半导体制造过程中的多种关键参数。 数据集中的特征不仅包括传感器读数，还融合了工艺过程中的控制变量和环境因素，使得数据具有极高的信息密度。 此外，SECOM数据集还具有显著的非线性和时变特性，这为研究者提供了丰富的挑战和机遇。 通过该数据集，研究者可以深入探索半导体制造过程中的复杂关系和潜在规律。
  • GitHub - dhu-IBDC UCI-Secom: A data mining project based on maching . . .
    UCI-Secom is a data set available on UCI Machine Learning Reposery for researchers in industrial field who are interested in solving practical manufacturing problems via maching learning methodologies It contains data from a semi-conductor manufacturing process which were collected and organized by Michael McCann and Adrian Johnston
  • Secom dataset | BigML. com
    Data from a semi-conductor manufacturing process Source SECOM Data Set [*] from UCI [*] [*]SECOM Data Set: http: archive ics uci edu ml datasets SECOM [*]UCI: http
  • Data Analysis in Semiconductor Manufacturing - GitHub
    In this study we propose machine learning techniques to automatically generate an accurate predictive model to predict equipment faults during the wafer fabrication process of the semiconductor industries
  • UCI SECOM Dataset|半导体制造数据集|过程监控数据集
    RadDet是一个包含11种雷达类别的数据集，包括6种新的低概率干扰（LPI）多相码（P1, P2, P3, P4, Px, Zadoff-Chu）和一种新的宽带调频连续波（FMCW）。 数据集覆盖500 MHz频段，包含40,000个雷达帧，分为训练集、验证集和测试集。 数据集在两种不同的雷达环境中提供：稀疏数据集（RadDet-1T）和密集数据集（RadDet-9T）。 关于2021年GameStop股票活动的数据，包括每日合并的GME短期成交量数据、每日失败交付数据、可借股数、期权链数据以及不同时间框架的开盘 最高 最低 收盘 成交量条形图。
  • SECOM数据集 用于研究生产线测试的简单通过 失败率
    A complex modern semi-co nductor manufacturing process is normally under co nsistent surveillance via the mo nitoring of signals variables collected from sensors and or process measurement points However, not all of these signals are equally valuable in a specific mo nitoring system





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