Higher‐order correlation–based multivariate statistical process monitoring
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.3033
Abstract: As shallow architecture is inefficient in terms of computational elements, some incipient fault features can be characterized through the composition of many nonlinearities, ie, with deep network. In this paper, a novel approach is developed… read more here.
Keywords: statistical process; higher order; process; monitoring ... See more keywords
Rapid differentiation of Chinese hop varieties (Humulus lupulus) using volatile fingerprinting by HS-SPME-GC-MS combined with multivariate statistical analysis.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.8889
Abstract: BACKGROUND Hops impart flavor to beer, with the volatile components characterizing the various hop varieties and qualities. Fingerprinting, especially flavor fingerprinting, is often used to identify 'flavor products' because inconsistencies in the description of flavor… read more here.
Keywords: volatile fingerprinting; using volatile; analysis; hop varieties ... See more keywords
Analysis and assessment of heavy metal contamination in the vicinity of Lake Atamanskoe (Rostov region, Russia) using multivariate statistical methods
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Geochemistry and Health"
DOI: 10.1007/s10653-021-00853-x
Abstract: Assessment of spatial patterns of potentially toxic metals is one of the most urgent tasks in soil chemistry. In this study, descriptive statistics and three methods of multivariate statistical analysis, such as the hierarchical cluster… read more here.
Keywords: soil chemistry; analysis; chemistry; metal ... See more keywords
On the problem of the spatial distribution delineation of the groundwater quality indicators via multivariate statistical and geostatistical approaches
Sign Up to like & getrecommendations! Published in 2019 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-019-7432-1
Abstract: This paper highlights the advantages of multivariate statistical and geostatistical methods to compile the hydro-geochemical properties of groundwater. A total of 123 samples were collected from wells located in Saveh aquifer, in 2015. Seven parameters… read more here.
Keywords: groundwater quality; statistical geostatistical; problem spatial; multivariate statistical ... See more keywords
Multivariate statistical and lead isotopic analyses approach to identify heavy metal sources in topsoil from the industrial zone of Beijing Capital Iron and Steel Factory
Sign Up to like & getrecommendations! Published in 2017 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-017-9055-9
Abstract: Heavy metals are considered toxic to humans and ecosystems. In the present study, heavy metal concentration in soil was investigated using the single pollution index (PIi), the integrated Nemerow pollution index (PIN), and the geoaccumulation… read more here.
Keywords: index; pollution; study; metal ... See more keywords
Principal component and multivariate statistical approach for evaluation of hydrochemical characterization of fluoride-rich groundwater of Shaslar Vagu watershed, Nalgonda District, India
Sign Up to like & getrecommendations! Published in 2017 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-017-2863-x
Abstract: In order to assess the impact of fluoride-rich groundwater of Shasilair Vagu watershed on groundwater regime, more than hundred groundwater samples for pre- and post-monsoon seasons were collected from bore wells/dug wells and analyzed for… read more here.
Keywords: groundwater; vagu watershed; rich groundwater; multivariate statistical ... See more keywords
Multivariate statistical approach for assessment of subsidence in Jharia coalfields, India
Sign Up to like & getrecommendations! Published in 2017 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-017-2985-1
Abstract: Indian coalfields, one of the major coal producers, are facing serious problem of subsidence now-a-days. This paper attempts to investigate various factors and their influence on magnitude and extent of subsidence. The study was conducted… read more here.
Keywords: coalfields india; jharia coalfields; multivariate statistical; factor ... See more keywords
Assessment of groundwater quality using multivariate statistical techniques in the Azmak Spring Zone, Mugla, Turkey
Sign Up to like & getrecommendations! Published in 2018 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-018-7937-x
Abstract: About 150 coastal spring outlets discharging from a karstified carbonate rock aquifer constitute the Azmak streamflow which is slightly brackish with 3000 mg/l of total dissolved solids. In this study, multivariate statistical methods were applied including… read more here.
Keywords: azmak spring; groundwater quality; spring zone; analysis ... See more keywords
Evaluation of fundamental and functional properties of natural plant product powders for direct compaction based on multivariate statistical analysis
Sign Up to like & getrecommendations! Published in 2018 at "Advanced Powder Technology"
DOI: 10.1016/j.apt.2018.08.009
Abstract: Abstract Direct compaction (DC) is the preferred choice for tablet manufacturing; however, its application in natural plant product (NPP) tablets is still extremely immature. In this study, NPP powders prepared by three commonly used methods… read more here.
Keywords: plant product; statistical analysis; npp powders; multivariate statistical ... See more keywords
Evaluation of evapotranspiration variations according to soil type using multivariate statistical analysis
Sign Up to like & getrecommendations! Published in 2019 at "Geoderma"
DOI: 10.1016/j.geoderma.2019.113906
Abstract: Abstract It is known that the soil type and its characteristics are very important to the agriculture and to maintain the health of a forest. Thus, the objective of this work was to verify, through… read more here.
Keywords: evapotranspiration; multivariate statistical; soil type; statistical analysis ... See more keywords
Improved process understanding and optimization by multivariate statistical analysis of Microbial Fuel Cells operation
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2018.07.056
Abstract: Abstract The aim of this work is to analyze Microbial Fuel Cell (MFC) processing of dairy wastewater with a multivariate statistical approach. An operating MFC was monitored for 70 days using dairy influents with varying… read more here.
Keywords: multivariate statistical; process; microbial fuel; analysis ... See more keywords