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Mihalj Bakator, Dragan Cockalo, Mila Kavalic, Edit Terek Stojanovic and Verica Gluvakov
Globalization, Industry 4.0, and the dynamics of the modern business environment caused by the pandemic have created immense challenges for enterprises across industries. Achieving and maintaining competitiveness requires enterprises to adapt to the new ...
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Kerim Kiliç and Jose M. Sallan
In modern business, Artificial Intelligence (AI) and Machine Learning (ML) have affected strategy and decision-making positively in the form of predictive modeling. This study aims to use ML and AI to predict arrival flight delays in the United States ai...
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D.A. Safronov,Y.D. Kazer,K.S. Zaytsev
Pág. 39 - 45
The purpose of this work is to reduce the cost of troubleshooting digital equipment by improving anomaly recognition methods based on the use of autoencoders. To do this, the authors propose to use two types of autoencoders: a deep feed-forward autoencod...
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Angelina Ageenko, Lærke Christina Hansen, Kevin Lundholm Lyng, Lars Bodum and Jamal Jokar Arsanjani
Mapping of landslides, conducted in 2021 by the Geological Survey of Denmark and Greenland (GEUS), revealed 3202 landslides in Denmark, indicating that they might pose a bigger problem than previously acknowledged. Moreover, the changing climate is assum...
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Georgios Alexandridis, Iraklis Varlamis, Konstantinos Korovesis, George Caridakis and Panagiotis Tsantilas
As the amount of content that is created on social media is constantly increasing, more and more opinions and sentiments are expressed by people in various subjects. In this respect, sentiment analysis and opinion mining techniques can be valuable for th...
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Dario Costanzo and Clemente Irigaray
Forward logistic regression and conditional analysis have been compared to assess landslide susceptibility across the whole territory of the Sicilian region (about 25,000 km2) using previously existing data and a nested tiered approach. These approaches ...
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Doris Hausleitner,Jakob Dulisse,Irene Manley,Amy Waterhouse
The interior Western Screech-Owl (Megascops kennicottii macfarlanei) has been assessed as a species at risk. Regionally, survival rates are low, particularly during nesting. This study uses forward stepwise logistic regression to assess habitat selection...
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