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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS期刊基本信息

  • 簡稱:CHEMOMETR INTELL LAB
  • 大類:工程技術(shù)
  • 小類:自動化與控制系統(tǒng)
  • ISSN:0169-7439
  • IF值:2.786
  • 周期:Bimonthly
  • 是否SCI:SCI/SCIE
  • 是否OA:No
  • 出版地:NETHERLANDS
  • 年文章數(shù):189
  • 審稿速度:約3.0個(gè)月
  • 平均錄用比例:較易
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS中文簡介

化學(xué)計(jì)量學(xué)和智能實(shí)驗(yàn)室系統(tǒng)發(fā)布原始研究論文,簡短通信,評論,教程和原始軟件出版物,報(bào)告化學(xué)和相關(guān)學(xué)科的新統(tǒng)計(jì),數(shù)學(xué)或計(jì)算機(jī)技術(shù)的發(fā)展。化學(xué)計(jì)量學(xué)是一門化學(xué)學(xué)科,它使用數(shù)學(xué)和統(tǒng)計(jì)方法設(shè)計(jì)或選擇最佳程序和實(shí)驗(yàn),并通過分析化學(xué)數(shù)據(jù)提供最大化學(xué)信息。該期刊涉及以下主題:1)開發(fā)化學(xué)及相關(guān)領(lǐng)域的新統(tǒng)計(jì)學(xué),數(shù)學(xué)和化學(xué)計(jì)量學(xué)方法(環(huán)境化學(xué),生物化學(xué),毒理學(xué),系統(tǒng)生物學(xué),-Omics等)2)化學(xué)計(jì)量學(xué)在化學(xué)和相關(guān)領(lǐng)域的所有分支中的新應(yīng)用(典型的感興趣領(lǐng)域是:過程數(shù)據(jù)分析,實(shí)驗(yàn)設(shè)計(jì),數(shù)據(jù)挖掘,信號處理,監(jiān)督建模,決策制定,穩(wěn)健統(tǒng)計(jì),混合分析,多變量校準(zhǔn)等。 )不會考慮已建立的化學(xué)計(jì)量學(xué)技術(shù)的常規(guī)應(yīng)用。3)開發(fā)新軟件,提供新工具或真正推進(jìn)化學(xué)計(jì)量學(xué)方法的使用。4)良好表征的數(shù)據(jù)集,用于測試新方法和軟件的性能。該期刊符合國際醫(yī)學(xué)期刊編輯委員會對手稿的統(tǒng)一要求。

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS英文簡介

Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines.Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data.The journal deals with the following topics:1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.)2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered.3) Development of new software that provides novel tools or truly advances the use of chemometrical methods.4) Well characterized data sets to test performance for the new methods and software.The journal complies with International Committee of Medical Journal Editors' Uniform requirements for manuscripts.

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