(2017) Optimisation of existing instrumentation to achieve better process performance – module 1: current state of knowledge, Water Research Australia, Project Report No. 1075, 1–22 Penny W, Harrison L (2026) Chapter 40: Multivariate autoregressive models. https://www.fil.ion.ucl.ac.uk/~w...
Excel-based process, its significance in optimizing working capital cannot be underestimated. In today’s dynamic business landscape, working capital is paramount for CFOs who consistently face CEO inquiries, such as: “What is the current
The main objective of this review report is to provide concise strategies, approaches, and problems faced over the last decade by researchers and industry individuals in production shop floor management, including industry 4.0. In this paper, the categorization of literature falls into two sections; ...
The database’s accessibility of metadata, including citations, bibliographies, abstracts, keywords, funding sources, and more, in CSV format enabled convenient analysis. SLMs were then used to select relevant (Industry 4.0 technology-related) papers. Figure 1 shows the search and filtering process...
The Parallax DAQ is an open-source platform designed to facilitate the transfer of data from the Arduino digital output to Microsoft Excel. With this setup, it is possible to continuously receive data from up to 26 microcontrollers and store it directly into an Excel datasheet. This platform ...
As a consequence of the COVID-19 outbreak, significant changes have been made to the financial engineering curriculum, which has shifted from an offline to an online format. The effective implementation of the teaching process for financial engineering majors in the post-epidemic era still faces ...
Additionally, the user dictionary pattern was employed for effective segmentation of the report data. Afterwards, the textual data were transformed into a vector format that can be recognized by computers. Using Python programming, a Word2Vec word-embedding model was trained based on the preprocessed...
Table 6 summarises the statistics of the model using the computer programme Excel. Figure 7 presents the results of the econometric analyses. Figure 7. Model: y*t = −5,290,326x1t + 929.276x2t + 64,352.28 for Polish steel industry for T: from 2004 to 2020. Where: Yt—real data:...
Being the nominal time vector t common to all the pixels of S2 image collection over the same tile, we first convert each acquisition date in a numeric format. We choose to express it in terms of number of days with respect to the GPS time reference, i.e., 1 January 1970. As an ...