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Konstantinos P. Fourkiotis and Athanasios Tsadiras
In today?s evolving global world, the pharmaceutical sector faces an emerging challenge, which is the rapid surge of the global population and the consequent growth in drug production demands. Recognizing this, our study explores the urgent need to stren...
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Patrícia Ramos and José Manuel Oliveira
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Patrícia Ramos, José Manuel Oliveira, Nikolaos Kourentzes and Robert Fildes
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Giuseppe Giunta, Alessandro Ceppi and Raffaele Salerno
Earth system predictions, from sub-seasonal to seasonal timescales, remain a challenging task, and the representation of predictability sources on seasonal timescales is a complex work. Nonetheless, advances in technology and science have been making con...
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Treerak Kongthanasuwan, Nakarin Sriwiboon, Banpot Horbanluekit, Wasakorn Laesanklang and Tipaluck Krityakierne
The automotive and auto parts industries are important economic sectors in Thailand. With rapidly changing technology, every organization should understand what needs to be improved clearly, and shift their strategies to meet evolving consumer demands. T...
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Tian Luo, Daofang Chang and Zhenyu Xu
Accurate sales forecasting can provide a scientific basis for the management decisions of enterprises. We proposed the xDeepFM-LSTM combined forecasting model for the characteristics of sales data of apparel retail enterprises. We first used the Extreme ...
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Chandadevi Giri and Yan Chen
Compared to other industries, fashion apparel retail faces many challenges in predicting future demand for its products with a high degree of precision. Fashion products? short life cycle, insufficient historical information, highly uncertain market dema...
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Linda Eglite,Ilze Birzniece
Pág. 53 - 62
This systematic literature review examines the deep learning (DL) models for retail sales forecast. The accuracy of a retail sales forecast is a prevalent force for uninterrupted business operations. Accuracy for retailers means limiting supply chain and...
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Juan Manuel García Sánchez, Xavier Vilasís Cardona and Alexandre Lerma Martín
A methodology to prove the influence of car configurator webpage data for automotive manufacturers is developed across this research. Firstly, the correlation between online data and sales is measured. Afterward, car variant sales are predicted using a s...
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Audrone Lupeikiene,Mubashrah Saddiqa
Pág. I - II
The 30th issue of CSIMQ includes four articles that cover research problems in the field of digital business systems. Two of the selected articles are systematic literature reviews, while the other two provide methodological additions to the theory. Syst...
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