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近日,地外海洋系统研究室与普林斯顿大学地球科学系Tullis C. Onstott教授研究团队合作在国际期刊《Microbiology Resource Announcements》上发表了题为“Metagenome-Assembled Genome of USCα AHI, a Potential High-Affinity Methanotroph from Axel Heiberg Isla...
Smart materials are highly desirable over the recent decade due to the growing demand of complicated nature. Stable stimuli-responsive smart materials exhibit widespread potential for applications in ...
上海财经大学信息管理与工程学院数据挖掘课件 Cluster Analysis。
Background: School canteens represent an opportune setting in which to deliver public health nutrition strategies because of their wide reach and frequent use by children. Online school-canteen orderi...
Background: Despite the continued high prevalence of faltering growth, height monitoring remains limited in many low- and middle-income countries.
The organizing committee is delighted to invite you to CCGrid2017, The 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, to be held in Madrid, Spain, from 14th to 17th of May...
Background: Nutrition during the first 1000 d is critical for brain development. Objective: We evaluated the effects on child development of home fortification with lipid-based nutrient supplements (...
Background: Stunting in linear growth occurs mainly during the first 1000 d, from conception through 24 mo of age. Despite the recognition of this critical period, there have been few evaluations of t...
Spectral unmixing of hyperspectral data often fails to select some minerals and rocks having flat spectra but no diagnostic absorption features as endmembers, even if they are actually important endme...
Tracking mobile targets using low-cost Wireless Sensor Network (WSN) requires not only good tracking accuracy but also network longevity. Cluster-based tracking protocols leverage the fact that only s...
This paper describes a new methodology to detect and recognize Object on high resolution multi-spectral images, which involves successively: (1) Resampling the image according to the size of the objec...
This article proposes a new quantity for assessing the number of groups or clusters in a dataset. The key idea is to view clustering as a supervised classification problem, in which we must al...
We consider the problem of detecting whether or not in a given sensor network, there is a cluster of sensors which exhibit an “unusual behavior.” Formally, suppose we are given a set of nodes and atta...
Derivation of Roof Types by Cluster Analysis in Parameter Spaces of Airborne Laser Scanner Point Clouds.

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