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Tokyo Electric Power Company (Tepco) has demonstrated its capabilities for accurate and precise measurements of the radionuclides present in the treated water stored at the Fukushima Daiichi site, acc...
High-dimensional sampling problems are ubiquitous in statistics, operations research, machine learning, etc. In this talk, I will introduce quantum algorithms for two important problems in high-dimens...
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial transactions, traffic, energy gri...
Physics-informed neural networks (PINNs) have emerged as an effective technique for solving PDEs in a wide range of domains. Recent research has demonstrated, however, that the performance of PINNs ca...
We propose a low-overhead sampling infrastructure for gathering information from the executions experienced by a program’s user community. Several example applications illustrate ways to use sampled i...
Many computer scientists think of a program as either correct (i.e. it meets some specification) or incorrect (i.e. it does not meet some specification). But industrial software development is as much...
The estimation of accuracy of thematic maps derived from remotely sensed data used in conjunction with a geographic information system is presented. A systematic random sampling techique is proposed t...
Spatial sampling optimization is an important issue for both geo-chemists and geo-statisticians. Many spatial sampling optimization methods have been previously developed. In this paper, we present a ...
Sampling methods have to be applied in agricultural condition monitoring at national scale. When selecting sampling methods, more attention needs to be paid not only to objects monitored, but also to ...
The experiments were conducted for monitoring crop area by spatial sampling methods in a winter wheat main production region with a size of 42Km×42Km in Hengshui City, Hebei Province in China to optim...
The sampling inspection model proposed by this paper is the key for the quality inspection and assessment of geological data, which is based on the present standards, research findings, and the qualit...
A simple simulator was developed to test whether airborne laser scanning can be used as a strip sampling tool for forest inventory purposes. The simulator is based on the existing two stages,grid base...
Airborne laser scanning (lidar) can be a valuable tool in double-sampling forest survey designs. Lidar-derived forest structure metrics are often highly correlated with important forest inventory vari...
In this paper, an effective spatial sampling method is preliminary explored to assess the quality of the topographic data. The most novel idea in this study is we think the error as noise in the signa...
WEB-BASED NETWORK SAMPLING: EFFICIENCY AND EFFICACY OF RESPONDENT-DRIVEN SAMPLING FOR ONLINE RESEARCH.

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