Scientometric analysis of artificial intelligence (AI) for geohazard research
S Jiang, J Ma, Z Liu, H Guo - Sensors, 2022 - mdpi.com
Geohazard prevention and mitigation are highly complex and remain challenges for
researchers and practitioners. Artificial intelligence (AI) has become an effective tool for …
researchers and practitioners. Artificial intelligence (AI) has become an effective tool for …
[PDF][PDF] 基于知识图谱的滑坡易发性评价文献综述及研究进展
郭飞， 赖鹏， 黄发明， 刘磊磊， 王秀娟， 何政宇 - 地球科学, 2024 - earth-science.net
滑坡易发性评价是滑坡风险评估的基础和核心内容, 开展滑坡易发性文献计量分析可以定量化地
分析其研究进展及发展趋势, 为国内开展地灾风险评估工作提供参考. 利用Web of Science …
分析其研究进展及发展趋势, 为国内开展地灾风险评估工作提供参考. 利用Web of Science …
Automated machine learning-based landslide susceptibility mapping for the three gorges reservoir area, China
Abstract Machine learning (ML)-based landslide susceptibility mapping (LSM) has achieved
substantial success in landslide risk management applications. However, the complexity of …
substantial success in landslide risk management applications. However, the complexity of …
Earthquake-induced landslide susceptibility assessment using a novel model based on gradient boosting machine learning and class balancing methods
S Zhang, Y Wang, G Wu - Remote Sensing, 2022 - mdpi.com
Predicting the susceptibility of a specific part of a landslide (SSPL) involves predicting the
likelihood that the part of the landslide (eg, the entire landslide, the source area, or the …
likelihood that the part of the landslide (eg, the entire landslide, the source area, or the …
Rockfall susceptibility mapping using XGBoost model by hybrid optimized factor screening and hyperparameter
The accuracy of the evaluation model of rockfall susceptibility lies on reasonable
conditioning factors and algorithm hyperparameters optimization. A rockfall geological …
conditioning factors and algorithm hyperparameters optimization. A rockfall geological …
Estimating dynamic compressive strength of rock subjected to freeze-thaw weathering by data-driven models and non-destructive rock properties
The dynamic compressive strength (DCS) of frozen-thawed rock influences the stability of
rock mass in cold regions, especially when rock masses are possibly disturbed by dynamic …
rock mass in cold regions, especially when rock masses are possibly disturbed by dynamic …
Tabular data generation to improve classification of liver disease diagnosis
Liver diseases are among the most common diseases worldwide. Because of the high
incidence and high mortality rate, these diseases diagnoses are vital. Several elements …
incidence and high mortality rate, these diseases diagnoses are vital. Several elements …
Improving spatial resolution of satellite imagery using generative adversarial networks and window functions
K Karwowska, D Wierzbicki - Remote Sensing, 2022 - mdpi.com
Dynamic technological progress has contributed to the development of systems imaging of
the Earth's surface as well as data mining methods. One such example is super-resolution …
the Earth's surface as well as data mining methods. One such example is super-resolution …
Learning a deep attention dilated residual convolutional neural network for landslide susceptibility mapping in Hanzhong City, Shaanxi Province, China
The analysis and evaluation of landslide susceptibility are of great significance in preventing
and managing geological hazards. Aiming at the problems of insufficient information caused …
and managing geological hazards. Aiming at the problems of insufficient information caused …
GIS-Based landslide susceptibility modeling: a comparison between best-first decision tree and its two ensembles (BagBFT and RFBFT)
J Gui, LR Alejano, M Yao, F Zhao, W Chen - Remote Sensing, 2023 - mdpi.com
This study aimed to explore and compare the application of current state-of-the-art machine
learning techniques, including bagging (Bag) and rotation forest (RF), to assess landslide …
learning techniques, including bagging (Bag) and rotation forest (RF), to assess landslide …