Changes in land use brings about habitat conversion and degradation, which has a large impact on regional biodiversity and ecosystem services (Newbold et al., 2015). However, in protected areas, the regulation of the actions that cause these changes is made so that the ecological impact is ...
The researchers identify two sites: one healthcare provider serves a large population, but its clinical information system allows queries only on past/current smoking and a certain number of genes; the other provider has more detailed behavioral data (including number of cigarettes per week) and ...
A large (∼10-fold), statistically significant decrease in the behavioral heterochromatic threshold (thresholds: homochromatic = 5.0%, heterochromatic = 0.7%) was accompanied by a large (∼10-fold), statistically significant decrease in the neuronal heterochromatic threshold (thresholds: homochromatic...
a medical technology company Lunit designed AI-based big data solution that analyzes large-scale chest X-ray data to classify coronavirus patients into four different categories based on the severity [76,78]. This solution is used in South Korean coronavirus centers, where it has helped the healt...
Perkins S, Questiaux J, Finniss S, Tyler R, Blyth S, Kuttel MM (2014) Scalable desktop visualisation of very large radio astronomy data cubes. New Astron 30:1–7 Article Google Scholar Pez DG, Aparicio F, De Buenaga M, Ascanio JR (2014) Chronic patients monitoring using wireless senso...
doi:10.1016/j.geoforum.2015.11.017The past several years have seen a huge number of publications, conferences and campaigns on "land grabbing" or large-scale acquisition of land, most often in Africa. Land-grabbing became a fiercely debated issue and the attention rapidly evolved into a real ...
Big data are extremely large-scaled heterogeneous data in terms of ... Y Wang - International Conference on Mathematical & Computational Methods in Science & Engineering 被引量: 17发表: 2015年 Intelligent Information and Database Systems intelligent big data exploitation; cloud and network computing;...
Albatross Analytics is a statistical and data science data processing platform that researchers can use in disciplines of various fields. Albatross Analytics makes it easy to implement fundamental analysis for various regressions with random model effect
Data-intensive or -driven discovery in biology requires a large open pool of data across the full breadth of the life sciences and the access to the pool will invite “New” logic, strategies and tools to discover new trends, associations, discontinuities, and exceptions that reveal aspects of...
The likelihood inferences for specific models may be susceptible to data leakage outliers. If the data size is limited, we can review the data carefully to detect outliers, but it can be difficult for large-scale data to identify outliers or degraded data. A commonly cited drawback of the pr...