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Agnieszka Wawrzyniak, Andrzej Przybylak, Piotr Boniecki, Agnieszka Sujak and Maciej Zaborowicz
In the presented study, data regarding the size and structure of cattle herds in voivodeships in Poland in 2019 were analysed and modelled using artificial neural networks (ANNs). The neural modelling approach was employed to identify the relationship be...
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Jie Xu, Xing He, Wei Shao, Jiang Bian and Russell Terry
Up to 20% of renal masses =4 cm is found to be benign at the time of surgical excision, raising concern for overtreatment. However, the risk of malignancy is currently unable to be accurately predicted prior to surgery using imaging alone. The objective ...
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Mirko Stojcic, Milorad K. Banjanin, Milan Vasiljevic, Dragana Nedic, Aleksandar Stjepanovic, Dejan Danilovic and Goran Puzic
Delay in data transmission is one of the key performance indicators (KPIs) of a network. The planning and design value of delay in network management is of crucial importance for the optimal allocation of network resources and their performance focuses. ...
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Rosa María Rodriguez-Sánchez and Jorge Chamorro-Padial
In this paper, we present a new method to measure the nodes? centrality in a multilayer network. The multilayer network represents nodes with different relations between them. The nodes have an initial relevance or importance value. Then, the node?s cent...
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Nicola Capuano, Pasquale Foggia, Luca Greco and Pierluigi Ritrovato
In the biomedical field, there is an ever-increasing number of large, fragmented, and isolated data sources stored in databases and ontologies that use heterogeneous formats and poorly integrated schemes. Researchers and healthcare professionals find it ...
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Annamaria Ficara, Giacomo Fiumara, Salvatore Catanese, Pasquale De Meo and Xiaoyang Liu
Traditional social network analysis can be generalized to model some networked systems by multilayer structures where the individual nodes develop relationships in multiple layers. A multilayer network is called multiplex if each layer shares at least on...
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Victor Gorbachev, Marina Nikitina, Daria Velina, Sherzodkhon Mutallibzoda, Vladimir Nosov, Galina Korneva, Anna Terekhova, Elena Artemova, Bella Khashir, Igor Sokolov, Svetlana Dimitrieva and Igor Nikitin
Using an artificial neural network (ANN), the values of the antiradical potential of 1315 items of food and agricultural raw materials were calculated. We used an ANN with the structure of a ?multilayer perceptron? (MLP) and with the hyberbolic tangent (...
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Ana Me?trovic, Milan Petrovic and Slobodan Beliga
Retweet prediction is an important task in the context of various problems, such as information spreading analysis, automatic fake news detection, social media monitoring, etc. In this study, we explore retweet prediction based on heterogeneous data sour...
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Roseline Oluwaseun Ogundokun, Sanjay Misra, Mychal Douglas, Robertas Dama?evicius and Rytis Maskeliunas
In today?s healthcare setting, the accurate and timely diagnosis of breast cancer is critical for recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has experienced a transformation that allows the analysis of real-...
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Hongjiao Qu, Junli Li, Weiyin Wang, Wenwen Xin, Cheng Zhou and Zongyi He
Natural disasters occur frequently causing huge economic losses and reduced grain production. Therefore, it is important to thoroughly explore the spatial correlations between grain, disaster, and the economy. Based on inter-provincial panel data in Chin...
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