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Catalina Iticescu, Lucian P. Georgescu, Gabriel Murariu, Catalina Topa, Mihaela Timofti, Violeta Pintilie and Maxim Arseni
The aim of the present paper is to quantify water quality in the Lower Danube Region by using a series of multivariate techniques and the Water Quality Index (WQI). In this paper were measured 18 parameters upstream and downstream the city of Galati alon...
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Cecilia Ionela Taban, Ana Maria Benedek, Mihaela Stoia, Maria Denisa Cocîrlea and Simona Oancea
From a public health perspective, the monitoring of water quality intended for human consumption belongs to the operational and audit management of the supply zones. Our study explores the spatial and temporal patterns of the parameters of drinking water...
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Valentina Pidlisnyuk, Tatyana Stefanovska, Olexander Zhukov, Artem Medkow, Pavlo Shapoval, Vitalii Stadnik and Martyn Sozanskyi
The impact of the plant growth regulators (PGRs) Stimpo, Regoplant, and Charkor on the production of the second-generation energy crop Miscanthus × giganteus on marginal post-military soil was investigated during two vegetation seasons. The land, previou...
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Maged El Osta, Milad Masoud, Abdulaziz Alqarawy, Salah Elsayed and Mohamed Gad
Water shortage and quality are major issues in many places, particularly arid and semi-arid regions such as Makkah Al-Mukarramah province, Saudi Arabia. The current work was conducted to examine the geochemical mechanisms influencing the chemistry of gro...
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Ali A. Yousif, Sadeq Oleiwi Sulaiman, Lamine Diop, Mohammad Ehteram, Shamsuddin Shahid, Nadhir Al-Ansari and Zaher Mundher Yaseen
The determination of scour characteristics in the downstream of sluice gate is highly important for designing and protection of hydraulic structure. The applicability of modern data-intelligence technique known as extreme learning machine (ELM) to simula...
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Pág. 5 - 16
The object of the study is the process of product quality assurance at the stage of the initial design of the manufacturing process. The subject matter is informational technologies for assessing the factor influence of critical parameters of the process...
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Han Che, Shuming Liu and Kate Smith
In this approach, a method utilizing data series from multivariate parameters to detect contaminant events is discussed and evaluated. Eight water quality sensors (pH, turbidity, conductivity, temperature, oxidation reduction potential, UV-254, nitrate a...
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Dayane Aparecida dos Santos, Karen Priscila de Lima, Marcilene Ferrari Barriquello Consolin, Nelson Consolin Filho, Paulo Henrique Março, Patrícia Valderrama (Author)
Pág. e37382
Total acidity and vitamin C were determined by using ultraviolet spectroscopy and multi-product multivariate calibration alternately to the reference methods, the potentiometry and Tillman's, respectively. In the developed multi-products models, differen...
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Dayane Aparecida dos Santos, Karen Priscila de Lima, Marcilene Ferrari Barriquello Consolin, Nelson Consolin Filho, Paulo Henrique Março, Patrícia Valderrama
Pág. e37382
Total acidity and vitamin C were determined by using ultraviolet spectroscopy and multi-product multivariate calibration alternately to the reference methods, the potentiometry and Tillman's, respectively. In the developed multi-products models, differen...
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Jesús Alejandro Prieto-Amparán, Beatriz Adriana Rocha-Gutiérrez, María De Lourdes Ballinas-Casarrubias, María Cecilia Valles-Aragón, María Del Rosario Peralta-Pérez and Alfredo Pinedo-Alvarez
Water quality is relevant due to the complexity of the interaction of physicochemical and biological parameters. The Irrigation District 005 (ID005) is one of the most important agricultural region in Chihuahua, México; for that reason, it was proposed t...
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Dongdong Ye, Rui Li, Jianfei Xu and Jiabao Pan
Accurate measurement of porosity is crucial for comprehensive performance evaluation of thermal barrier coatings (TBCs) on aero-engine blades. In this study, a novel data-driven predictive method based on terahertz time-domain spectroscopy (THz-TDS) was ...
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Mingfeng Huang, Jianping Sun, Kang Cai and Qiang Li
Although widely used in various fields due to its powerful capability of signal processing, empirical mode decomposition has to decompose signals separately, which limits its application for multivariate data such as the structural monitoring data record...
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Mingxin Tang, Libo Huang and Wei Chen
The template-based chip design method aims to build rapidly. However, it still need synthesis and simulation flows to get the performance, power, and area (PPA) reports and find the proper parameters set in the design space exploration, which takes a lon...
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Alexander Robitzsch
The mixture Rasch model is a popular mixture model for analyzing multivariate binary data. The drawback of this model is that the number of estimated parameters substantially increases with an increasing number of latent classes, which, in turn, hinders ...
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Joel Hernández-Bedolla, Liliana García-Romero, Chrystopher Daly Franco-Navarro, Sonia Tatiana Sánchez-Quispe and Constantino Domínguez-Sánchez
Precipitation is influential in determining runoff at different scales of analysis, whether in minutes, hours, or days. This paper proposes the use of a multisite multivariate model of precipitation at a daily scale. Stochastic models allow the generatio...
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Roberta Fusco, Vincenza Granata, Mario Sansone, Robert Grimm, Paolo Delrio, Daniela Rega, Fabiana Tatangelo, Antonio Avallone, Nicola Raiano, Giuseppe Totaro, Vincenzo Cerciello, Biagio Pecori and Antonella Petrillo
Purpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar/fibrosi...
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Alejandro Ivan Aguirre-Salado, Humberto Vaquera-Huerta, Carlos Arturo Aguirre-Salado, José del Carmen Jiménez-Hernández, Franco Barragán and María Guzmán-Martínez
We introduced a novel spatial model based on the distribution of generalized extreme values (GEV) to analyze the maximum intensity levels of earthquakes with incomplete data (randomly censored) on the Pacific coast of southern Mexico using a random censo...
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L. MALEC,F. SKÁCEL,T. FOUSEK,V. TEKÁC,P. KRÁL
Tropospheric ozone is a secondary air pollutant, changes in the ambient content of which are affected by both, the emission rates of primary pollutants and the variability of meteorological conditions. In this paper, we use two multivariate statistic...
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S. GHOSH,P. K. SEN,U. K. DE
The two sophisticated applied multivariate techniques, ?Principal Component Analysis? and ?Two-group Linear Discriminant Analysis? have been applied in the present work to analyze the pre-monsoon weather in Calcutta (India) and hence to forecast the p...
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E.J. Mirjam Blokker, William R. Furnass, John Machell, Stephen R. Mounce, Peter G. Schaap and JoB. Boxall
Understanding and managing water quality in drinking water distribution system is essential for public health and wellbeing, but is challenging due to the number and complexity of interacting physical, chemical and biological processes occurring within v...
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