Landslide susceptibility mapping: analysis of different feature selection techniques with artificial neural network tuned by bayesian and metaheuristic algorithms
The most frequent and noticeable natural calamity in the Karakoram region is landslides.
Extreme landslides have occurred frequently along Karakoram Highway, particularly during …
Extreme landslides have occurred frequently along Karakoram Highway, particularly during …
Metaheuristic algorithms for solar radiation prediction: A systematic analysis
SA Pérez-Rodríguez, JM Álvarez-Alvarado… - IEEE …, 2024 - ieeexplore.ieee.org
In the contemporary world, where the escalating demand for energy and the imperative for
sustainable sources, notably solar energy, have taken precedence, the investigation into …
sustainable sources, notably solar energy, have taken precedence, the investigation into …
基于优化随机森林模型的降雨群发滑坡易发性评价
刘帅， 王涛， 曹佳文， 刘甲美， 张帅， 辛鹏 - 地质通报, 2024 - cgsjournals.com
随机森林模型(RF) 是在滑坡易发性评价中广泛应用的机器学习模型之一.
针对制约随机森林模型评价应用质量的难点问题, 以西秦岭山区娘娘坝镇极端降雨诱发的2 …
针对制约随机森林模型评价应用质量的难点问题, 以西秦岭山区娘娘坝镇极端降雨诱发的2 …
[HTML][HTML] 甘肃积石山县MS 6.2地震同震地质灾害发育特征与易发性评价
刘帅， 何斌， 王涛， 刘甲美， 曹佳文， 王浩杰… - 地质力学 …, 2024 - journal.geomech.ac.cn
2023 年12 月18 日, 甘肃积石山县发生MS 6.2 地震, 诱发的同震地质灾害严重威胁到人民生命
和财产安全, 因此及时总结分析同震地质灾害发育规律并进行县域易发性评价 …
和财产安全, 因此及时总结分析同震地质灾害发育规律并进行县域易发性评价 …
Ground-Based Hyperspectral Estimation of Maize Leaf Chlorophyll Content Considering Phenological Characteristics
Y Guo, S Jiang, H Miao, Z Song, J Yu, S Guo, Q Chang - Remote Sensing, 2024 - mdpi.com
Accurately measuring leaf chlorophyll content (LCC) is crucial for monitoring maize growth.
This study aims to rapidly and non-destructively estimate the maize LCC during four critical …
This study aims to rapidly and non-destructively estimate the maize LCC during four critical …
Multilayer perceptron and Markov Chain analysis based hybrid-approach for predicting land use land cover change dynamics with Sentinel-2 imagery
As urbanization accelerates, the degree of human impact on land use is increasing. land
use land cover change (LULC) is acknowledged as crucial factor in environmental change …
use land cover change (LULC) is acknowledged as crucial factor in environmental change …
[HTML][HTML] Machine learning models for water quality prediction: a comprehensive analysis and uncertainty assessment in Mirpurkhas, Sindh, Pakistan
Groundwater represents a pivotal asset in conserving natural water reservoirs for potable
consumption, irrigation, and diverse industrial uses. Nevertheless, human activities …
consumption, irrigation, and diverse industrial uses. Nevertheless, human activities …
A hybrid Bayesian optimization-based deep learning model for modeling the condition of saltwater pipes in Hong Kong
E Mohammed Abdelkader, T Zayed… - International Journal …, 2025 - Taylor & Francis
The water distribution network is one of the most pivotal services for communities, and that's
why its effective and secure operation is crucial to the growth of national and global …
why its effective and secure operation is crucial to the growth of national and global …
Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
L Jovanovic, R Damaševičius, R Matic, M Kabiljo… - PeerJ Computer …, 2024 - peerj.com
Neurodegenerative conditions significantly impact patient quality of life. Many conditions do
not have a cure, but with appropriate and timely treatment the advance of the disease could …
not have a cure, but with appropriate and timely treatment the advance of the disease could …
Landslide susceptibility and building exposure assessment using machine learning models and geospatial analysis techniques
Landslides are among the most dangerous hazards in Asia, posing a significant threat to
human lives, infrastructure, and sustainable development. Landslide susceptibility maps …
human lives, infrastructure, and sustainable development. Landslide susceptibility maps …