نتایج جستجو برای: demand classification

تعداد نتایج: 633120  

Journal: :Promet-traffic & Transportation 2021

In terms of the travel demand prediction from household car ownership model, if imbalanced data were used to support transportation policy via a machine learning it would negatively affect algorithm training process. The on obtained study project for expressway preparation in Khon Kaen Province (2015) was an unbalanced dataset. other words, number members minority class is lower than rest answe...

Iran is ranked as the ninth largest greenhouse gas producer in the world, with an annual emission of nearly 180 million tons of CO2 by thermal power plants.. The purpose of this research is to simulate and optimize the optimal economic and environmental load dispatch and a portfolio of efficiency improvement strategies on both supply and demand sides in MT1, MT2, and EEP scenarios in using the ...

Examining the factors affecting changes in energy demand can help economic policymakers to adopt energy saving approaches. One method of examining these factors is factor analysis of energy demand. Given the high share of industry, especially energy-intensive industries in Iran's energy consumption, the purpose of this article is to analyse the factors affecting changes in energy consumption in...

2013
Wasif Siddiqi Nawaz Ahmad Abdul Aziz Khan Kamran Yousef

This paper attempts to evaluate the determinants of export demand of textile and clothing sector of Pakistan. Moreover it estimates coefficients of the variables of the study. This study uses co-integration approach to check the long run relationship between export demand and its determinants. Results show that world income is the major determinant of export demand as it shows high coefficient ...

Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...

Journal: :Environmental geochemistry and health 2010
Pham Thi Minh Hanh Suthipong Sthiannopkao Kyoung-Woong Kim Dang The Ba Nguyen Quang Hung

In order to investigate the temporal and spatial variations of 14 physical and chemical surface water parameters in the Nhue and Day sub-river systems of Vietnam, surface water samples were taken from 43 sampling sites during the dry and rainy seasons in 2007. The results were statistically examined by Mann-Whitney U-test and hierarchical cluster analysis. The results show that water quality of...

2015
P. Wagh P. D. Nemade

Most of distilleries in India use biomethanation process to treat the spent wash generated during the alcohol process, to ensure the effective treatment all distillery industries follow 13 fold dilutions due to which tremendous amount of spent wash is generated. 8 -15 l of spent wash was generated during 1 l of alcohol, thus distillery industries consume more water and produce waste water on a ...

Journal: :Pain physician 2016
Henry R Kroll Taylor Macaulay Michelle Jesse

BACKGROUND Burnout is a prolonged response to chronic emotional and interpersonal stressors on the job, defined by 3 dimensions: exhaustion, depersonalization, and reduced personal accomplishment. While there is a growing body of research on burnout in physicians, there is a dearth of literature on burnout in pain medicine physicians. OBJECTIVE This study aimed to determine the incidence of b...

2012
Diego Gil de los Santos Carlos Gil Turnes Fabricio Rochedo Conceição

This paper describes the use of Pichia pastoris X-33 as a bioremediator to reduce the chemical oxygen demand (COD), total Kjeldahl nitrogen (TKN), and phosphorus (P-PO(4) (3-)), after culture in parboiled rice effluent supplemented with p.a. glycerol or a glycerol by-product of the biodiesel industry. The greatest reduction in the COD (55%), TKN (45%), and P-PO(4) (3-) (52%) of the effluent was...

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