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Forest loss and degradation in the Brazilian Amazon due to mining activities has been intense for many years. To reverse this situation, a range of restoration programs for deforested and degraded are...
One of Bitcoin’s core security guarantees is that, for an attacker to be able to successfully interfere with the Bitcoin network and reverse transactions, they need to control 51% of total hash power....
Mining pools in Proof-of-Work cryptocurrencies allow miners to pool their computational resources as a means of reducing payout variance. In Ethereum, uncle blocks are valid Proof-of-Work solutions wh...
Bitcoin, the first successful cryptocurrency, uses the blockchain structure and PoW mechanism to generate blocks. PoW makes an adversary difficult to control the network until she retains over 50\% of...
So far, the topic of merged mining has mainly been considered in a security context, covering issues such as mining power centralization or crosschain attack scenarios. In this work we show that key i...
This study emphasizes the use of various tools for visualizing geospatial data for facilitating information mining of the global petroleum reserves. In this paper, open-source data on global oil trade...
This paper studies a fundamental problem regarding the security of blockchain on how the existence of multiple misbehaving pools influences the profitability of selfish mining. Each selfish miner main...
DInSAR technology have been applied to monitor the mining subsidence and the stability of the railway subgrade. A total of 10 Sentinel-1A images acquired from 2015/9/26 to 2016/2/23 were used in DInSA...
Time-series InSAR technology has become a popular land subsidence monitoring method in recent years, because of its advantages such as high accuracy, wide area, low expenditure, intensive monitoring p...
The RF method based on grid-search parameter optimization could achieve a classification accuracy of 88.16 % in the classification of images with multiple feature variables. This classification ...
With the development of economy, global demand for steel has accelerated since 2000, and thus mining activities of iron ore have become intensive accordingly. An ultra-low-grade iron has been extracte...
This paper has collected 7 scenes of L band PALSAR sensor radar data of a mine in FengCheng city, jiangxi province, using the Small-baseline Subset (SBAS) method to invert the surface subsidence of th...
The explosive growth of spatial data and widespread use of spatial databases emphasize the need for the spatial data mining. Co-location patterns discovery is an important branch in spatial data minin...
While cryptocurrencies continue to gain popularity, their energy cost is increasingly becoming unsustainable. In this paper, we present an innovative scheme which eliminates the burden of the proof of...
为探究不同赋存深度采动煤岩体巷道稳定性及其差异性,选择Data Mining(数据挖掘)技术,基于平顶山矿区不同赋存深度(700 m,850 m,1 050 m)巷道的现场监测数据,选择多元线性回归和神经网络模型对顶板离层进行公式拟合和影响因素的权重分析,并开展顶板离层及锚杆应力的时序预测研究,初步揭示不同赋存深度开采扰动影响范围、巷道变形及应力变化特征。研究结果表明:(1) 距工作面距离及锚杆应...

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