scispace - formally typeset
G

Gang Mei

Researcher at China University of Geosciences (Beijing)

Publications -  133
Citations -  1429

Gang Mei is an academic researcher from China University of Geosciences (Beijing). The author has contributed to research in topics: Computer science & Interpolation. The author has an hindex of 14, co-authored 98 publications receiving 667 citations. Previous affiliations of Gang Mei include University of Freiburg & Ministry of Land and Resources of the People's Republic of China.

Papers
More filters
Journal ArticleDOI

A Survey of Internet of Things (IoT) for Geohazard Prevention: Applications, Technologies, and Challenges

TL;DR: The applications of the IoT in the monitoring and early warning of seven types of common geohazards, including landslides, debris flow, rockfall, surface subsidence, surface collapse, surface cracks, and earthquakes, are surveyed and the challenges are summarized.
Journal ArticleDOI

A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map

TL;DR: The results show that the proposed model of landslide hazard susceptibility can help to produce more objective and accurate landslide susceptibility maps, which not only take advantage of the information from the original data, but also reflect an expert’s knowledge and the opinions of decision-makers.
Journal ArticleDOI

Machine learning for landslides prevention: a survey

TL;DR: A comprehensive survey of relevant research on machine learning applied in landslides prevention is presented, mainly focusing on landslides detection based on images, landslides susceptibility assessment, and the development of landslide warning systems.
Journal ArticleDOI

Deep learning for geological hazards analysis: Data, models, applications, and opportunities

TL;DR: In this paper, the authors present an overview of the advances in the utilization of deep learning for geological hazard analysis, focusing on six typical geological hazards, i.e., landslides, debris flows, rockfalls, avalanches, earthquakes, and volcanoes.
Journal ArticleDOI

Discrete element modeling of strata and surface movement induced by mining under open-pit final slope

TL;DR: In this article, a numerical modeling method based on an equivalent jointed rock-mass model (EJRM) is proposed to solve the problem of placing joints in a calculation model according to their actual distribution characteristics.