Results 1 to 10 of about 4,504 (51)
A Levenshtein distance-based method for word segmentation in corpus augmentation of geoscience texts
For geoscience text, rich domain corpora have become the basis of improving the model performance in word segmentation. However, the lack of domain-specific corpus with annotation labelled has become a major obstacle to professional information mining in
Jinqu Zhang +6 more
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This paper presents a new method for predictive crime hotspot analysis that further improves the kernel density estimation (KDE) method and the spatio-temporal kernel density estimation (STKDE) method by accounting for temporal crime cycles and is ...
Ya Han, Yujie Hu, Haojie Zhu, Fahui Wang
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Socio-hydrology and vulnerability of levee systems along the lower Illinois River
The maintenance of flood mitigation levees in the U.S. and elsewhere, has often found to be insufficient. Recent U.S. levee safety inspections have discovered substantial deficiencies in many federally monitored levees resulting in some of them being ...
Ali Rashed Alruzuq +3 more
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A method for finding a least-cost corridor on an ordinal-scaled raster cost surface
The least-cost path problem is a widely studied problems in geographic information science. In raster space, the problem is to find a path that accumulates the least amount of cost between two locations based on the assumptions that the path is a one ...
Lindsi Seegmiller, Takeshi Shirabe
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COVID-19 metrics across parliamentary constituencies and districts in India
In India, Parliamentary Constituencies (PCs) could serve as a regional unit of COVID-19 monitoring that facilitates evidence-based policy decisions.
Weiyu Wang +7 more
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GIS-based evolution and comparisons of landslide susceptibility mapping of the East Sikkim Himalaya
The main sought of this study is to assess the landslide susceptibility map (LSM) of the East Sikkim Himalaya based on the comparative model analysis using frequency ratio (FR), logistic regression (LR), random forest (RF) and integration of analytical ...
Neha Gupta +2 more
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Focusing on the Golden Ball Metaheuristic: An Extended Study on a Wider Set of Problems
Nowadays, the development of new metaheuristics for solving optimization problems is a topic of interest in the scientific community. In the literature, a large number of techniques of this kind can be found. Anyway, there are many recently proposed techniques, such as the artificial bee colony and imperialist competitive algorithm.
E. Osaba +5 more
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In this paper, four widely used temporal compositing algorithms, i.e. median, maximum NDVI, medoid, and weighted scoring-based algorithms, were evaluated for annual land cover classification using monthly Landsat time series data.
Xichen Meng +4 more
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To reveal the historical urban development in large areas using satellite data such as Landsat MSS still need to overcome many challenges. One of them is the need for high-quality training samples.
Zemin Feng +3 more
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The distribution and dynamic changes of regional or national population data with long time series are very important for regional planning, resource allocation, government decision-making, disaster assessment, ecological protection, and other ...
Wei Guo +7 more
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