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Min Yang, Haoran Huang, Yiqi Zhang and Xiongfeng Yan
Recognizing morphological patterns in lines and segmenting them into homogeneous segments is critical for line generalization and other applications. Due to the excessive dependence on handcrafted features in existing methods and their insufficient consi...
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Bin Liu, Fan Yang, Yixuan Huang, Ye Zhang and Guanhao Wu
Structured-light vision methods are widely employed for three-dimensional reconstruction. As a typical structured light pattern, grid pattern is extensively applied in single-shot three-dimensional reconstruction. The uniqueness of the grid feature retri...
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Xiao Wang and Dirk Burghardt
Building groups with special patterns are common layouts in urban settlement areas, which should be carefully generalized. Typification is considered as an appropriate operator to generalize building groups with grid patterns. As an important operator in...
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Xiaoqing Mei, Chajuan Liu, Xinxia Wang and Yangyang Wei
The realization of the global ?Double carbon? target is closely related to the energy-saving travel of human beings. Along with the increase in the number of new energy vehicles around the world, the number of new energy vehicle charging post carports ha...
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Can Zhang, Hao Tang, Nyatchouba Nsangue Bruno Thierry, Liqiang Yin, Feng Zhang, Meixi Zhu, Chenxu Shan, Liuxiong Xu and Fuxiang Hu
The grid is a crucial component in constructing grid-type bycatch reduction devices. The grid?s structural characteristics and orientation significantly impact the hydrodynamic characteristics and efficacy of the separation device. Therefore, it is essen...
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Xiaofei Zhao, Caiyi Hu, Zhao Liu and Yangyang Meng
Many kinds of spatial?temporal data collected by transportation systems, such as user order systems or automated fare-collection (AFC) systems, can be discretized and converted into time-series data. With the technique of time-series data mining, certain...
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Dhan Lord B. Fortela, Matthew Crawford, Alyssa DeLattre, Spencer Kowalski, Mary Lissard, Ashton Fremin, Wayne Sharp, Emmanuel Revellame, Rafael Hernandez and Mark Zappi
This study focused on demonstrating the use of a self-organizing map (SOM) algorithm to elucidate patterns among variables in simulated syngas combustion. The work was implemented in two stages: (1) modelling and simulation of syngas combustion under var...
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Beata Calka and Elzbieta Bielecka
The issue of population dataset reliability is of particular importance when it comes to broadening the understanding of spatial structure, pattern and configuration of humans? geographical location. The aim of the paper was to estimate the reliability o...
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Yunus Serhat Bicakci, Dursun Zafer Seker and Hande Demirel
This study analyses the spatio-temporal pattern of parolees using electronic monitoring, where the developed spatial framework supports the Environmental Criminology concepts such as crime patterns or crime attractive locations. A grid-based solution for...
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Simon Jekosch and Ennes Sarradj
Microphone arrays methods are useful for determining the location and magnitude of rotating acoustic sources. This work presents an approach to calculating a discrete directivity pattern of a rotating sound source using inverse microphone array methods. ...
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Mohammad A. Moghaddam, Paul A. T. Ferre, Mohammad Reza Ehsani, Jeffrey Klakovich and Hoshin Vijay Gupta
We confirm that energy dissipation weighting provides the most accurate approach to determining the effective hydraulic conductivity (Keff) of a binary K grid. A deep learning algorithm (UNET) can infer Keff with extremely high accuracy (R2 > 0.99). The ...
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Xiao-li Chen, Xin-jian Shan, Ming-ming Wang, Chun-guo Liu and Na-na Han
On 8 August 2017 an earthquake (MS7.0) occurred within Jiuzhaigou County, Northern Aba Prefecture, Sichuan Province, China, triggering 4834 landslides with an individual area greater than 7.8 m2 over a more than 400 km2 region. Instead of correlating geo...
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Chan-Uk Yeom and Keun-Chang Kwak
We propose an adaptive neuro-fuzzy inference system (ANFIS) with an incremental tree structure based on a context-based fuzzy C-means (CFCM) clustering process. ANFIS is a combination of a neural network with the ability to learn, adapt and compute, and ...
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Ammara Nusrat, Hamza Farooq Gabriel, Sajjad Haider, Shakil Ahmad, Muhammad Shahid and Saad Ahmed Jamal
Climatic data archives, including grid-based remote-sensing and general circulation model (GCM) data, are used to identify future climate change trends. The performances of climate models vary in regions with spatio-temporal climatic heterogeneities beca...
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Qiuying Chen and Hongwei Mo
Autonomous navigation in unknown environments is still a challenge for robotics. Many efforts have been exerted to develop truly autonomous goal-oriented robot navigation models based on the neural mechanism of spatial cognition and mapping in animals? b...
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Sunwoo Han and Hyunjoong Kim
Random forest is an ensemble method that combines many decision trees. Each level of trees is determined by an optimal rule among a candidate feature set. The candidate feature set is a random subset of all features, and is different at each level of tre...
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Zixuan Yang, Antoni Calderer, Sida He, Fotis Sotiropoulos, James D. Doyle, David D. Flagg, Jamie MacMahan, Qing Wang, Brian K. Haus, Hans C. Graber and Lian Shen
We have performed large-eddy simulations (LES) to study the effect of complex land topography on the atmospheric boundary layer (ABL) in coastal areas. The areas under investigation are located at three beaches in Monterey Bay, CA, USA. The sharp-interfa...
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Kendall Grimm, Mohsen Tahmasebi Nasab and Xuefeng Chu
The topographic wetness index (TWI) has been widely used for determining the potential of each digital elevation model (DEM) grid to develop a saturated condition, which allows for the investigation of topographic control on the hydrologic response of a ...
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Chulsang Yoo and Eunsaem Cho
This study evaluated 20 general circulation models (GCMs) of the Coupled Model Intercomparison Project, Phase 5 (CMIP5), which provide the prediction results for the period of 2006 to 2014, the period from which the observation data (the Global Precipita...
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Umesh Kokate, Arvind Deshpande, Parikshit Mahalle and Pramod Patil
Data growth in today?s world is exponential, many applications generate huge amount of data streams at very high speed such as smart grids, sensor networks, video surveillance, financial systems, medical science data, web click streams, network data, etc...
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