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Tamás Kegyes, Alex Kummer, Zoltán Süle and János Abonyi
We analyzed a special class of graph traversal problems, where the distances are stochastic, and the agent is restricted to take a limited range in one go. We showed that both constrained shortest Hamiltonian pathfinding problems and disassembly line bal...
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Baoyu Fan, Han Ma, Yue Liu and Xiaochen Yuan
With the growth of data in the real world, datasets often encounter the problem of long-tailed distribution of class sample sizes. In long-tailed image recognition, existing solutions usually adopt a class rebalancing strategy, such as reweighting based ...
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Maria Nefeli Nikiforos, Konstantina Deliveri, Katia Lida Kermanidis and Adamantia Pateli
Highly-skilled migrants and refugees finding employment in low-skill vocations, despite professional qualifications and educational backgrounds, has become a global tendency, mainly due to the language barrier. Employment prospects for displaced communit...
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Elias Dritsas and Maria Trigka
Chronic kidney disease (CKD) is a condition characterized by progressive loss of kidney function over time. It describes a clinical entity that causes kidney damage and affects the general health of the human body. Improper diagnosis and treatment of the...
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Barbara Pes
Class imbalance and high dimensionality are two major issues in several real-life applications, e.g., in the fields of bioinformatics, text mining and image classification. However, while both issues have been extensively studied in the machine learning ...
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Oscar Chávez-Bosquez, Manuel Torres-Vásquez, José Hernández-Torruco, Betania Hernández-Ocaña
Guillain-Barré Syndrome (GBS) is a neurological disorder where the body?s immune system attacks the peripheral nervous system. This disease evolves rapidly and is the most frequent cause of paralysis of the body. There are four variants of GBS: Acute Inf...
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Enrico Barbierato, Marco Gribaudo and Giuseppe Serazzi
Nowadays, the necessity to predict the performance of cloud and edge computing-based architectures has become paramount, in order to respond to the pressure of data growth and more aggressive level of service agreements. In this respect, the problem can ...
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Human ecology, a stream of planning, was developed by Park, Burgess, and Hoyt. This theoretical model emphasized mobility and assimilation as natural paths to housing. This essay offers an analysis of its influence on urban theory and policymaking in the...
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Gordana Jakovljevic, Miro Govedarica, Flor Alvarez-Taboada and Vladimir Pajic
Digital elevation model (DEM) has been frequently used for the reduction and management of flood risk. Various classification methods have been developed to extract DEM from point clouds. However, the accuracy and computational efficiency need to be impr...
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Saad A. Alowayyed,Maxime Vassaux,Ben Czaja,Peter V. Coveney,Alfons G. Hoekstra
Pág. 20 - 43
New applications that can exploit emerging exascale computing resources efficiently, while providing meaningful scientific results, are eagerly anticipated. Multi-scale models, especially multi-scale applications, will assuredly run at the exascale. We h...
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