|
|
|
Ivan S. Maksymov
Ambiguous optical illusions have been a paradigmatic object of fascination, research and inspiration in arts, psychology and video games. However, accurate computational models of perception of ambiguous figures have been elusive. In this paper, we desig...
ver más
|
|
|
|
|
|
|
Xing-Zhou Li, Zhong-Ren Peng, Qingyan Fu, Qian Wang, Jun Pan and Hongdi He
Air pollution is a growing concern in metropolitan areas worldwide, and Shanghai, as one of the world?s busiest ports, faces significant challenges in local air pollution control. Assessing the contribution of a specific port to air pollution is essentia...
ver más
|
|
|
|
|
|
|
Ruiqing Chen, Liang Sun, Zhongxin Chen, Deji Wuyun and Zheng Sun
The prompt and precise identification of corn and soybeans are essential for making informed decisions in agricultural production and ensuring food security. Nonetheless, conventional crop identification practices often occur after the completion of crop...
ver más
|
|
|
|
|
|
|
Amir Barghi and Daryl DeFord
The Stirling numbers for graphs provide a combinatorial interpretation of the number of cycle covers in a given graph. The problem of generating all cycle covers or enumerating these quantities on general graphs is computationally intractable, but recent...
ver más
|
|
|
|
|
|
|
Huichan Kim, Sunho Park and Seong-Yeob Jeong
Growing interest in finding the optimal route through the arctic ocean, and sea ice concentration is also emerging as a factor to be considered. In this paper, an algorithm to calculate the sea ice concentration was developed based on the images taken du...
ver más
|
|
|
|
|
|
|
Zhengsheng Li, Haiyang Yi, Yiming Xu, Gangqiang Li and Zhuang Zhuo
A new 3D mesoscale computational approach to simulate the mechanical behavior of soil?rock mixtures (SRMs) with the consideration of the grain-crushing process is proposed in this study. The proposed approach adopts a random SRM mesostructure generation ...
ver más
|
|
|
|
|
|
|
Mantas Bacevicius and Agne Paulauskaite-Taraseviciene
Various machine learning algorithms have been applied to network intrusion classification problems, including both binary and multi-class classifications. Despite the existence of numerous studies involving unbalanced network intrusion datasets, such as ...
ver más
|
|
|
|
|
|
|
Dan Parsons, Jason Ryan, Michael Malouf and Wayne Martin
Wildlife strikes in aviation represent a serious economic concern; however, in some jurisdictions, the costs associated with this phenomenon are not collected or shared. This hampers the industry?s ability to quantify the risk and assess the potential be...
ver más
|
|
|
|
|
|
|
Luís Fonseca, Fernando Ribeiro and José Metrôlho
In-bed posture classification has attracted considerable research interest and has significant potential to enhance healthcare applications. Recent works generally use approaches based on pressure maps, machine learning algorithms and focused mainly on f...
ver más
|
|
|
|
|
|
|
Antonio Pasculli, Nicola Sciarra and Massimo Mangifesta
The values of the physical?mechanical properties of any soil are affected by uncertainties both due to experimental measurements and the impossibility of knowing them, in detail, at every point of the spatial domain. Accordingly, this work focuses on unc...
ver más
|
|
|
|