… The systems of flood drivers and hazard analysis 图1. 洪水致… on supervised machine
learning with application to runoff … Number and analytic network process and its application. In: …

… Algorithms that work well with data sets of modest size may … of formation, huge geological
databases, museum databases, … Data miners and machine learners put particular emphasis on …

… for reducing the risk of post-earthquake disasters. However, in … samples and integrate
machine learning models to improve … and influencing factors of geological disasters from 2001 to …

… geological modelling-IoT-deep learning-extended reality” based on the innovative technologies
is depicted. 3D geological modelling … opportunities of augmented reality applications in …

… This work aims to explore and assess the most significant strides in these areas, while also
… using machine learning. The most successful cases are in wells that have geology that does …

… upon this foundational work,an … machine learning model 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 geological hazards 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 machine learning algorithms are …

… on the specific applications of machine learning to the three … production and geologic data,
machine learning will accelerate … and artificial neural network machine learning algorithms in …

… Integrated machine learning models exhibit higher ACC and AUC values than the
shallow machine learning models, with the random … model performing …