网络高通量数据 网络释义 1. 高通量数据 高通量数据(high throughput data)包括,注意了,如果您认为自己在做系统生物学研究,但是目前还未使用上述任一种数据… blog.sciencenet.cn|基于3个网页 例句
can support complex control and signal processing tasks while maintaining extremelyhigh data throughput. analog.com analog.com ADSP-BF561具有两个高性能Blackfin处理器内核、灵活的高速缓存架构、增强的DMA子系统 ,以及动态电源管理(DPM)功能,可以执行复杂的控制与信号处理任务,同时保持极高的数据吞吐率。
High throughput data ingestion logger to Fluentd and Fluent Bit (and AWS S3 and Treasure Data.) This document is for version 2. If you're looking for a document for version 1, seethis. Ingestion to Fluentd Features Better performance (4 times faster than fluent-logger-java) ...
data <- read.table(files[i], header = TRUE, skip = 1) lastColumn <- data[, ncol(data)] mergedData <- cbind(mergedData, lastColumn) } #mergedata这一步是将之前提取的column1和lastColumn合并为一个新的数据框,赋值给mergedData变量。.;files <- c(file2, file3, file4):创建一个名为fil...
our findings44indicate that a high-throughput, local Green’s function based hybridization can at least qualitatively capture physically-relevant trends in the localization of thef-states. Our analysis with the presentf-electron database using ≈350 Ce-based binary compounds shows that the maximum hy...
Quantitative AOP AHR Lung damage Machine learning High throughput 1. Introduction The adverse outcome pathway (AOP) framework has been shown as a useful tool in the field of systems toxicology to generate knowledge from data, identify data gaps, and design new testing approaches (Halappanavar et al...
高通量筛选（High-Throughput Screening，HTS）数据分析 高通量筛选（High-Throughput Screening，HTS）技术起源于20世纪80年代后期，最初是为了寻找先导化合物而对大量样品进行药理活性评价分析的技术手段。随着技术的发展，HTS开始实现自动化，利用计算机及其操作软件、自动化加样设备、温孵离心设备和堆栈等组成自动化操作...
High-throughput measurement technologies produce data sets that have the potential to elucidate the biological impact of disease, drug treatment, and environmental agents on humans. The scientific community faces an ongoing challenge in the analysis of these rich data sources to more accurately characteri...
(这里的低效率,应该是指由于stale policies 旧策略的影响,导致学到最佳性能的时候,所需要的样本大大增加,而不是产生的样本速度低),所以本文就提出了Throughput Synchronous Deep Reinforcement Learning (HTS-RL),想把learning 和rollouts 做到同步(其实也还是有一步之差,但是带来的影响还是比较小的,作者也证明了),...
Yuan, F., Mueller, T. Identifying models of dielectric breakdown strength from high-throughput data via genetic programming.Sci Rep7, 17594 (2017). https://doi.org/10.1038/s41598-017-17535-3 Download citation Received23 June 2017 Accepted22 November 2017 ...