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Damianos P. Sakas, Nikolaos T. Giannakopoulos, Marina C. Terzi and Nikos Kanellos
Deep learning has experienced an increased demand for its capabilities to categorize and optimize operations and provide higher-accuracy information. For this purpose, the implication of deep learning procedures has been described as a vital tool for the...
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Satriya Candra Bondan Prabowo,Rini Safitri
Pág. 67 - 78
This study aims to determine the analysis of working capital management in automotive industry sector listed on the Indonesia Stock Exchange. The object of the study consisted of 12 companies included in the automotive industry sector which were listed o...
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Surjandy Surjandy,Ita Ratnasari
Pág. 32 - 38
The research was conducted at PT CPC using qualitative research methodology. It focused on group discussion to identify problem statements and analyst selling data to make an inventory distribution model strategy. The aims are to determine whether ...
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Bing Qiao, Weijian He, Yujun Tian, Yichao Liu, ... Yue Li
Pág. 3606 - 3618
In this paper, the methods of waterborne transport data mining, emission reduction scenario analysis and ship emission calculation according to engine power are combined to establish models of ship emission inventory, reduction trend analogy, and investm...
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Ville Luoma, Ninni Saarinen, Michael A. Wulder, Joanne C. White, Mikko Vastaranta, Markus Holopainen and Juha Hyyppä
Forest resource information has a hierarchical structure: individual tree attributes are summed at the plot level and then in turn, plot-level estimates are used to derive stand or large-area estimates of forest resources. Due to this hierarchy, it is im...
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Tanveer Bagh,Muhammad Imran Nazir,Muhammad Asif Khan,Muhammad Atif Khan,Sadaf Razzaq
Pág. 1097 - 1105
The purpose of this study was to empirically explore the impact of working capital management on firms performance of chosen manufacturing firms listed in Karachi Stock Exchange (KSE). The quantitative research methods, correlation matrix and multiple re...
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