[HTML][HTML] Multi-scale analysis of the susceptibility of different landslide types and identification of the main controlling factors

Y Yang, S Peng, B Huang, D Xu, Y Yin, T Li… - Ecological Indicators, 2024 - Elsevier
Landslides are common and extremely destructive geological hazards in mountainous
areas, posing a serious threat to life, property, and socioeconomic development. Landslide …

VERE Py-framework: Dual environment for physically-informed machine learning in seismic landslide hazard map** driven by InSAR

G Grelle, L Guerriero, D Calcaterra, D Di Martire… - … Modelling & Software, 2025 - Elsevier
The VERE framework was designed and developed in Python to generate hazard
confidence maps for seismic-induced landslides, leveraging advanced data analysis and …

A Comparative Study of Model Interpretability Considering the Decision Differentiation of Landslide Susceptibility Models

L Lv, T Chen, G Liu, J Dou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The “black-box” nature of machine learning (ML) and deep learning (DL) models has raised
concerns about the trustworthiness of landslide susceptibility map** (LSM) results among …

The Application of Variable Weight Theory on the Suitability Evaluation of Urban Underground Space Development and Utilization for Urban Resilience and …

H Chen, X Tan, Y Zhang, B Hu, S Xu, Z Dai… - …, 2025 - search.proquest.com
Urban underground space (UUS) is a significant natural resource to support many aspects
of city development, but it is not sustainably developed and utilized during the urbanization …

Research and Exploration of Deep Learning Based Reinforcement Process for Robot Co-Navigation Methods

C Liao - 2024 11th International Forum on Electrical …, 2024 - ieeexplore.ieee.org
This paper describes the details of the GDRN algorithm, including goal assignment, network
structure, state space, action space and reward function. The role of goal assignment is …