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Cristian Minoccheri, Olivia Alge, Jonathan Gryak, Kayvan Najarian and Harm Derksen
Over the past decades, there has been an increase of attention to adapting machine learning methods to fully exploit the higher order structure of tensorial data. One problem of great interest is tensor classification, and in particular the extension of ...
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Apostol Todorov, Petya Gicheva, Vanya Stoykova, Stanimir Karapetkov, Hristo Uzunov, Silvia Dechkova and Zlatin Zlatev
Air pollution and travel comfort in public transport is a significant problem as it can cause health problems for passengers. There are no sufficiently developed and researched monitoring systems for measuring the quality of the environment in public tra...
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Ismail Mohsine, Ilias Kacimi, Vincent Valles, Marc Leblanc, Badr El Mahrad, Fabrice Dassonville, Nadia Kassou, Tarik Bouramtane, Shiny Abraham, Abdessamad Touiouine, Meryem Jabrane, Meryem Touzani, Abdoul Azize Barry, Suzanne Yameogo and Laurent Barbiero
In order to facilitate the monitoring of groundwater quality in France, the groundwater bodies (GWB) in the Provence-Alpes-Côte d?Azur region have been grouped into 11 homogeneous clusters on the basis of their physico-chemical and bacteriological charac...
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Nureni Ayofe Azeez and Emad Fadhal
Background: Internet social media platforms have become quite popular, enabling a wide range of online users to stay in touch with their friends and relatives wherever they are at any time. This has led to a significant increase in virtual crime from the...
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Negar Orangi-Fard, Alireza Akhbardeh and Hersh Sagreiya
Predicting ICU readmission risk will help physicians make decisions regarding discharge. We used discharge summaries to predict ICU 30-day readmission risk using text mining and machine learning (ML) with data from the Medical Information Mart for Intens...
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Guirong Wang, Xi Chen and Wei Chen
The areas where landslides occur frequently pose severe threats to the local population, which necessitates conducting regional landslide susceptibility mapping (LSM). In this study, four models including weight-of-evidence (WoE) and three WoE-based mode...
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Insuck Baek, Moon S. Kim, Byoung-Kwan Cho, Changyeun Mo, Jinyoung Y. Barnaby, Anna M. McClung and Mirae Oh
The inspection of rice grain that may be infected by seedborne disease is important for ensuring uniform plant stands in production fields as well as preventing proliferation of some seedborne diseases. The goal of this study was to use a hyperspectral i...
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Jacek Gebicki, Tomasz Dymerski and Jacek Namiesnik
This paper presents the results of an investigation on ambient air odour quality in the vicinity of a municipal landfill. The investigations were carried out during the spring?winter and the spring seasons using two types of the electronic nose instrumen...
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Roland Löwe, Henrik Madsen and Patrick McSharry
This study evaluated methods for automated classification of rain events into groups of ?high? and ?low? spatial and temporal variability in offline and online situations. The applied classification techniques are fast and based on rainfall data only, an...
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