This systematic literature review examines the integration of machine learning (ML) in e-commerce, focusing on consumer behavior prediction...
This systematic literature review provides a timely and rigorous examination of machine learning (ML) integration within e-commerce, specifically focu...
The evaluation of motor vehicle acceptability is a multicriteria classification problem involving a complex set of qualitative attributes. This resear...
This paper presents a clear application of data mining techniques to a practical, multicriteria classification problem: predicting motor vehicle accep...
In this paper we introduce and describe an implementation of curved (surface) geometries within the Dune framework for grid-based discretizations. The...
This paper introduces Dune-CurvedGrid, a novel module designed to integrate curved surface geometries into the Dune framework for grid-based discretiz...
This study proposes a new version of the Autoregressive Integrated Moving Average (ARIMA) model using Artificial Neural Networks (ANNs) den...
This study introduces a promising approach to drug sales forecasting in the United States through a novel hybrid model termed ARIMA-NN, combining the...
The appearance of the sixth generation (6G) networks introduces new realities of demand towards real-time, scalable and secure communicatio...
How DSpace and OJS came to the LibraryAn feuilleton-like overview of the implementation of the University of Tartu digital archive on DSpace in 2006 a...
This study investigates the application of machine learning for classifying vehicles based on their technical specifications using the Random Forest a...
This study presents an investigation into classifying vehicle categories using technical specifications, employing the Random Forest algorithm. The ob...
This study explores the application of Agglomerative Hierarchical Clustering (AHC) to categorize global cities based on thematic travel preferences, a...
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