Results 251 to 260 of about 147,072 (297)
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Data assimilation methods in the Earth sciences
Advances in Water Resources, 2008Abstract Although remote sensing data are often plentiful, they do not usually satisfy the users’ needs directly. Data assimilation is required to extract information about geophysical fields of interest from the remote sensing observations and to make the data more accessible to users. Remote sensing may provide, for example, measurements of surface
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Use and Abuse of Statistical Methods in the Earth Science
Technometrics, 1990This book, the first in a new International Association for Mathematical Geology series, is for earth scientists who wish to study more closely the underlying assumptions of randomness, normality, and variance of sample data used with statistical methods in their fields.
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A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers
2018 IEEE International Conference on Cognitive Computing (ICCC), 2018In the current era of knowledge explosion, it is becoming increasingly critical to help researchers quickly grasp the core ideas and methods used in the sea of published articles. As a first step toward the aim, this paper proposes a novel approach that simulates the cognitive process of how human beings read Earth science articles, and automatically ...
Xiaoyi Duan +7 more
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Numerical Methods and Models in Earth Science
2011The book is designed as an introductory undergraduate and graduate course for engineering, science and mathematics students of all desciplines. The Numerical Methods book covers all the major aaspects such as numerical computation; linear system of equations; solutions of algenric and transcendental equations; numerical differentiation; finite ...
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School Science and Mathematics, 1999
This study investigated the effects of cooperative learning instruction versus traditional teaching methods on students' earth science achievement in secondary schools. A total of 770 ninth‐grade students enrolled in 20 sections of a required earth science course participated in this nonequivalent control group quasi‐experiment.
Chun‐Yen Chang, Song‐Ling Mao
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This study investigated the effects of cooperative learning instruction versus traditional teaching methods on students' earth science achievement in secondary schools. A total of 770 ninth‐grade students enrolled in 20 sections of a required earth science course participated in this nonequivalent control group quasi‐experiment.
Chun‐Yen Chang, Song‐Ling Mao
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Quantitative methods in the earth sciences
Mathematical Geology, 1997A. Förster +4 more
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Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2006
Summary form only given. This special session has been motivated by the growing importance of data-driven modeling in Earth sciences, climate modeling, meteorological and oceanographic applications, geophysical data processing, and hydrology. Of particular interest are the methodological aspects of learning methods, with the clarification of the ...
V. Cherkassky +3 more
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Summary form only given. This special session has been motivated by the growing importance of data-driven modeling in Earth sciences, climate modeling, meteorological and oceanographic applications, geophysical data processing, and hydrology. Of particular interest are the methodological aspects of learning methods, with the clarification of the ...
V. Cherkassky +3 more
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Geomatic Method for the Analysis of Data in the Earth Sciences
2000An overview of data analysis methods in geomatics.- Data analysis methods in geodesy.- Linear and Nonlinear Inverse Problems.- Image Preprocessing for Feature Extraction in Digital Intensity, Color and Range Images.- Optimization-Based Approaches To Feature Extraction from Aerial Images.- Diffraction tomography through phase back-projection.
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Earth-Science Reviews, 1991
Abstract A variety of potential applications involving two classes of multivariate permutation methods based on distance functions are presented. These methods avoid the impossible distributional assumptions (knowing the analytic description of real data) associated with classical multivariate parametric methods.
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Abstract A variety of potential applications involving two classes of multivariate permutation methods based on distance functions are presented. These methods avoid the impossible distributional assumptions (knowing the analytic description of real data) associated with classical multivariate parametric methods.
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Atlas "space methods for geoecology": a new tool for remote sensing education in Earth sciences
IEEE International Geoscience and Remote Sensing Symposium, 2003A new atlas of satellite images, published by Moscow State University, characterizes the potential of satellite methods for investigation of global ecological problems, such as global climate warming, loss of plant biomass, depletion of ozone layer. More detailed maps are given for Russia and neighboring territories, e.g.
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