نتایج جستجو برای: mineral resource evaluation
تعداد نتایج: 1081073 فیلتر نتایج به سال:
The special issue entitled “Developments in Quantitative Assessment and Modeling of Mineral Resource Potential” is composed 17 papers that cover a diverse range approaches to mineral resource assessment, including mainly multivariate statistical analysis, fractal multifractal modeling, geostatistical machine learning, mathematical morphology 3D exploration. This introductory article first provi...
In 2008-09, the mining sales value in Western Australia (WA) was AUD71.3 billion [1]. The resource industry continues to generate significant infrastructure investment and supply expansion developments in remote and arid regions of the state. The sector is also a major driver of liquid fuel demand growth, and currently represents approximately 40% of total transport fuel use, and around 60% (mo...
The experimental determination of mineral matter in coal is a tedious as well as time consuming process, and requires highly skilled analyst to carry out the chemical analysis of coal and ash. On the other hand, determination of moisture and ash is relatively easy using moisture oven and muffle furnace and can be determined anywhere with little care. Most of the methods reported till date for t...
Mapping between non-preference- and preference-based health-related quality-of-life instruments has become a common technique for estimating health state utility values for use in economic evaluations. Despite the increased use of mapped health state utility estimates in health technology assessment and economic evaluation, the methods for deriving them have not been fully justified. Recent gui...
In video games, pathfinding must be done quickly and accurately. Not much computational time is allowed for pathfinding, but realistic looking paths are required. One approach to pathfinding which attempts to satisfy both of these constraints is to perform pathfinding on abstractions of the map. Botea et al.’s Hierarchical Pathfinding A* (HPA*) does this by dividing the map into square sectors ...
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