The rock stress environment in deep mines is such that rock fracturing around mining excavations often cannot be prevented. To ensure the stability of the mine infrastructure and the functionality of the mining excavations, to protect the workforce from rock falls and to facilitate the mining operati...
The provision of an adequate global supply of minerals is an essential element of this challenge. As noted by Bryant [3], this will require major innovation by the global mining industry, including greater emphasis on research and development. Exploration for new deposits benefits from satellite te...
Laboratory and Field Testing Physical Modelling Constitutive Modelling Fractured Media Rock Dynamics Rock Bursting Rock Blasting & Fragmentation Modelling of DynamicPhenomena in Rock Case Histories Performance Evaluation Forensic StudiesR MassesIndianjournals Com...
Deep mining: A rock engineering challenge. Rock Mech. Rock Eng. 52(5), 1417–1446 (2019). Article ADS Google Scholar Xie, H. P., Ju, Y., Gao, F., Gao, M. Z. & Zhang, R. Groundbreaking theoretical and technical conceptualisation of fluidised mining of deep underground solid ...
“the biggest challenge to our planet is climate change and biodiversity loss. we don’t have a spare decade to sit around,” he declares. by the end of the hidden gem ’s trial last october, the vehicle had delivered more than 3,000 tons of the stones, mounded up in a glistening ...
Abstract This Review focuses on whether the emerging industry of deep-seabed mining aligns with the sustainable development agenda. We cover motivations for deep-seabed mining, including to source metals for technology that assists with decarbonization, as well as governance issues surrounding the extrac...
In the famous visual recognition challenge, ImageNet Challenge, Krizhevsky et al. (2012) developed a deep learning-based method for classifying millions of images and got the best accuracy of 83.6%. In contrast, the highest classification accuracy using the traditional method, that is, manual ...
Eighteen years of company-collected data on deep sea ecosystems targeted for mining will add to our scant knowledge of the abyss.
Chirs Burges,微软的机器学习大神,Yahoo 2010 Learning to Rank Challenge第一名得主,排序模型方面有RankNet,LambdaRank,LambdaMART,尤其以LambdaMART最为突出,代表论文为: From RankNet to LambdaRank to LambdaMART: An Overview 此外,Burges还有很多有名的代表作,比如:A Tutorial on Support Vector Machines for ...
A challenge of MARL research is to develop algorithms that can handle this high level of computational complexity. In particular, on complex or continuous-space problems, we face slow learning of new tasks and, in the worst-case, tasks even become infeasible to master. Hence, many studies ...