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287  Articles
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Major obstacles to securing rational organization of accounting and analytical support system of the enterprise transaction costs management are examined. Organizational and methodological peculiarities of accounting and analysis of economic entities’ tra... see more

Building Information Modelling (BIM) models are relational and parametric in nature, and 5D BIM is where model objects include specification data and other properties which can be directly used for pricing construction work. There is huge potential for it... see more

Abstract. This study aims to evaluate the deviation between planned Cost of GoodsManufacturing with actual Cost of Goods Manufacturing (COGM) in PT. TMMIN thatexceeding 10%. The obtained priority issues is the procurement of Spring Guide Set DBAGS-Dcompon... see more

Building Information Modelling (BIM) models are relational and parametric in nature, and 5D BIM is where model objects include specification data and other properties which can be directly used for pricing construction work. There is huge potential for it... see more

Neural networks are useful to identify complex nonlinear relationships between input and output of a system. Cumulative fruit responses such as water losses and ripening during storage are characterized non-linearly. For identification, several patterns o... see more

Forensic identification is an effort to help law enforcement officers to reveal a person's identity. Personal identity is often a problem in criminal and civil cases as well as  cases related to death without identity and mass disasters. Age estimati... see more

 The reasons of appearance of sensors biases during small aircraft operation and the problem of estimation of these biases during the identification of dynamic characteristics of this type of aircraft are considered. It is offered to estimate sensors... see more

This article introduces an adequate method to estimate the unknown parameters of one diode PV cell. Considering this scheme, actual estimation of parameters which are unknown is identified by objective function minimization by employing eminent adequate g... see more

In general in case of crash situations the quality of collected data is very limited and several information are usually unreliable. Thus it is recognised that a significant effort is required in order to improve the quality of the crash prediction models... see more

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