Review of landslide susceptibility assessment based on knowledge mapping

C Yong, D Jinlong, G Fei, T Bin, Z Tao, F Hao… - … Research and Risk …, 2022 - Springer
Landslide susceptibility assessment is highly valuable for disaster prevention and mitigation.
This study utilized the aspects of data and content to comprehensively examine the research …

[HTML][HTML] Intelligent prediction of slope stability based on visual exploratory data analysis of 77 in situ cases

G Wang, B Zhao, B Wu, C Zhang, W Liu - International Journal of Mining …, 2023 - Elsevier
Slope stability prediction research is a complex non-linear system problem. In carrying out
slope stability prediction work, it often encounters low accuracy of prediction models and …

[HTML][HTML] Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory mapping

L Kusak, FB Unel, A Alptekin, MO Celik… - Open Geosciences, 2021 - degruyter.com
In this paper, an inventory of the landslide that occurred in Karahacılı at the end of 2019 was
created and the pre-landslide conditions of the region were evaluated with traditional …

Multispectral data mining: A focus on remote sensing satellite images

SL Lim, J Sreevalsan‐Nair… - … Reviews: Data Mining …, 2024 - Wiley Online Library
This article gives a brief overview of various aspects of data mining of multispectral image
data. We focus on specifically the remote sensing satellite images acquired using …

Multi-temporal Landsat-derived NDVI for vegetation cover degradation for the period 1984-2018 in part of the Arganeraie Biosphere Reserve (Morocco)

S Ezaidi, A Aydda, B Kabbachi, OF Althuwaynee… - Remote Sensing …, 2022 - Elsevier
Abstract Biosphere Reserves (BRs) are especial zones established to conserve the
biodiversity (ecosystem, species or genetic). Therefore, evaluating and analyzing the …

Optimized Apriori algorithm for deformation response analysis of landslide hazards

L Linwei, W Yiping, H Yepiao, L Bo, M Fasheng… - CompUters & …, 2023 - Elsevier
With the explosive development of data mining technology, higher requirements have been
put forward to analyze the response of landslide deformation. However, related algorithms …

[HTML][HTML] Predicting a fall based on gait anomaly detection: a comparative study of wrist-worn three-axis and mobile phone-based accelerometer sensors

P Kocuvan, A Hrastič, A Kareska, M Gams - Sensors, 2023 - mdpi.com
Falls by the elderly pose considerable health hazards, leading not only to physical harm but
a number of other related problems. A timely alert about a deteriorating gait, as an indication …

DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds

OF Al-Thuwaynee, M Melillo, SL Gariano… - … Modelling & Software, 2023 - Elsevier
Several studies on empirical rainfall thresholds for landslide occurrence depend on the
measurements of nearest rain gauges to the landslides, without taking in consideration the …

Data mining technology for the identification and threshold of governing factors of landslide in the Three Gorges Reservoir area

L Guo, F Miao, F Zhao, Y Wu - Stochastic Environmental Research and …, 2022 - Springer
Due to the complex geological conditions and external triggering factors, the deformation of
landslide disaster often has spatial differences, especially in the Three Gorges Reservoir …

[HTML][HTML] Variance analysis in China's coal mine accident studies based on data mining

T Zhou, Y Zhu, K Sun, J Chen, S Wang, H Zhu… - International journal of …, 2022 - mdpi.com
The risk of coal mine accidents rises significantly with mining depth, making it urgent for
accident prevention to be supported by both scientific analysis and advanced technologies …