JH Maindonald - Statistics Consulting Unit, 1999 - blogjava.net
… Algorithms that work well with data sets of modest size may … of formation, huge geological databases, museum databases, … Data miners and machinelearners put particular emphasis on …
… for reducing the risk of post-earthquake disasters. However, in … samples and integrate machinelearningmodels to improve … and influencing factors of geologicaldisasters from 2001 to …
… geologicalmodelling-IoT-deeplearning-extended reality” based on the innovative technologies is depicted. 3D geologicalmodelling … opportunities of augmented reality applications in …
… This work aims to explore and assess the most significant strides in these areas, while also … using machinelearning. The most successful cases are in wells that have geology that does …
… upon this foundational work,an … machinelearningmodel has been identified,facilitating precise prediction of rock mass classification as indicated by the RMR index.Lastly,the geological …
… this work demonstrated the application boundaries and … -depth analysis of the development of InSAR technologies. This … Early identification of serious geologicalhazards with integrated …
… There is still a certain meaning in the work.Image recognition … , as well as biomedicine and geology. In the early stage of … the problem that traditional machinelearning algorithms are …
… on the specific applications of machinelearning to the three … production and geologicdata, machinelearning will accelerate … and artificial neural networkmachinelearning algorithms in …