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Jenny Hyunjung Lee, Darius Coelho and Klaus Mueller
Two-dimensional space embeddings such as Multi-Dimensional Scaling (MDS) are a popular means to gain insight into high-dimensional data relationships. However, in all but the simplest cases these embeddings suffer from significant distortions, which can ...
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Yaohang Lu and Zhongming Teng
Principal component analysis (PCA) is one of the most popular tools in multivariate exploratory data analysis. Its probabilistic version (PPCA) based on the maximum likelihood procedure provides a probabilistic manner to implement dimension reduction. Re...
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Yen-Chang Chen, Chih-Hung Tan, Chiang Wei and Zi-Wen Su
This study applied remote sensing technology to analyze how rivers in the urban environment affect the surface temperature of their ambient areas. While surface meteorological stations can supply accurate data points in the city, remote sensing can provi...
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Mary Jacketti, James D. Englehardt and C.J. Beegle-Krause
Sunken oil transport processes in rivers differ from those in oceans, and currently available models may not be generally applicable to sunken oil in river settings. The open-source Subsurface Oil Simulator (SOSim) model has been expanded to handle spill...
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Milan Brankovic and Mark E. Everett
Forward modeling plays a key role in both the creation of predictive models and the study of the surrounding environment through inversion methods. Due to their competitive computational cost and modest algorithmic complexity, finite difference methods (...
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Mingyoung Jeng, Alvir Nobel, Vinayak Jha, David Levy, Dylan Kneidel, Manu Chaudhary, Ishraq Islam, Evan Baumgartner, Eade Vanderhoof, Audrey Facer, Manish Singh, Abina Arshad and Esam El-Araby
Convolutional neural networks (CNNs) have proven to be a very efficient class of machine learning (ML) architectures for handling multidimensional data by maintaining data locality, especially in the field of computer vision. Data pooling, a major compon...
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Rodrigo L. Rose, Tejas G. Puranik and Dimitri N. Mavris
The complexity of commercial aviation operations has grown substantially in recent years, together with a diversification of techniques for collecting and analyzing flight data. As a result, data-driven frameworks for enhancing flight safety have grown i...
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Przemyslaw Tymków, Grzegorz Józków, Agata Walicka, Mateusz Karpina and Andrzej Borkowski
The paper presents an efficient methodology of water body extent estimation based on remotely sensed data collected with UAV (Unmanned Aerial Vehicle). The methodology includes the data collection with selected sensors and processing of remotely sensed d...
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Benjamin Oyegbile, Guven Akdogan and Mohsen Karimi
In this study, an experimentally validated computational model was developed to investigate the hydrodynamics in a rotor-stator vortex agglomeration reactor RVR having a rotating disc at the centre with two shrouded outer plates. A numerical simulation w...
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Brett Lawrence
Small unmanned aerial systems (sUAS) and relatively new photogrammetry software solutions are creating opportunities for forest managers to perform spatial analysis more efficiently and cost-effectively. This study aims to identify a method for leveragin...
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Boris Kovalerchuk and Dmytro Dovhalets
The exploration of multidimensional datasets of all possible sizes and dimensions is a long-standing challenge in knowledge discovery, machine learning, and visualization. While multiple efficient visualization methods for n-D data analysis exist, the lo...
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Larisa V. Migal,Vladimir G. Bondarev,Tatiana P. Bondareva,Irina N. Belyaeva
The article considers a mathematical model of the coordination number, which allows obtaining an equation for multi component spherical packing in the entire range of its change. The resulting model can be used in both 2-d and 3-d spaces. The concept of ...
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Qian Yang, Suoping Li, Hongli Li and Weiru Chen
To accurately estimate the service delay behavior of IEEE 802.11 networks, this paper comprehensively considers four main factors that affect the performance of IEEE 802.11 networks and establishes a service delay model with statistical characteristics. ...
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Christos Makris, Zisis Mallios, Yannis Androulidakis and Yannis Krestenitis
Storm surges due to severe weather events threaten low-land littoral areas by increasing the risk of seawater inundation of coastal floodplains. In this paper, we present recent developments of a numerical modelling system for coastal inundation induced ...
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Mauro Agate, Christina Lombardo, Claudio Lo Iacono, Attilio Sulli, Sabrina Polizzi, Renato Chemello and Paolo Emanuele Orrù
In this paper, the physiography, geomorphological features, and sedimentary bedforms of the offshore Egadi Islands (Italy) have been illustrated and mapped through an integrated analysis of high-resolution bathymetric, seismo-acoustic, and sedimentologic...
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Weiyun Chen, Dan Wang, Lingyu Xu, Zhenyu Lv, Zhihua Wang and Hongmei Gao
Wave is a common environmental load that often causes serious damages to offshore structures. In addition, the stability for the submarine artificial slope is also affected by the wave loading. Although the landslide of submarine slopes induced by the wa...
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Ikha Magdalena, Vivianne Kusnowo, Moh. Ivan Azis and Widowati
In this paper, we investigate wave attenuation caused by mangroves as a porous media. A 1-D mathematical model is derived by modifying the shallow water equations (SWEs). Two approaches are used to involve the existing of mangrove: friction term and diff...
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Norberto Alcantar-Elizondo, Ramon Victorino Garcia-Lopez, Xochitl Guadalupe Torres-Carillo and Guadalupe Esteban Vazquez-Becerra
This work shows improvements of geoid undulation values obtained from a high-resolution Global Geopotential Model (GGM), applied to local urban areas. The methodology employed made use of a Residual Terrain Model (RTM) to account for the topographic mass...
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Dingtao Shen, Tianlu Qian, Yu Xia, Yu Zhang and Jiechen Wang
Assessments of urban flood hazards are crucial for planning and early warning flood system design. Moreover, hazard risk assessment is useful for emergency planning and insurance. There are two common methods for conducting flood hazard risk assessments ...
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Zhe Huang, Yuchuan Bai, Haijue Xu, Yufen Cao and Xiao Hu
The soil particle movement under seepage flow is one of the predominant mechanisms responsible for incidents and failures of dams and streambanks. However, little attention has been paid to the critical hydraulic gradient under two-dimensional (2-D) seep...
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