Machine learning based landslide susceptibility mapping models and GB-SAR based landslide deformation monitoring systems: Growth and evolution
Ongoing landslides have wreaked havoc in various regions across the globe. This article
presents a study of two forms of landslide monitoring viz; creation of Landslide Susceptibility …
presents a study of two forms of landslide monitoring viz; creation of Landslide Susceptibility …
Recent development of metal-organic frameworks and their composites in electromagnetic wave absorption and shielding applications
With the rapid development of information and communication industries, the usage of
electromagnetic waves has caused the hazard of human health and misfunction of devices …
electromagnetic waves has caused the hazard of human health and misfunction of devices …
An anthracene-based hydrogen-bonded organic framework as a bifunctional fluorescent sensor for the detection of γ-aminobutyric acid and nitrofurazone
Y Liu, X Xu, B Yan - Inorganic Chemistry Frontiers, 2022 - pubs.rsc.org
Intelligent fluorescence detection for disease diagnosis has become a research hotspot. In
the era of big data, machine learning (ML) for analyzing data and mining will be widely used …
the era of big data, machine learning (ML) for analyzing data and mining will be widely used …
Integrating deep learning neural network and M5P with conventional statistical models for landslide susceptibility modelling
Landslides are among the devastating geological hazards that cause immense damage in
hilly regions. The Indian Himalayan region is plagued by numerous major landslides. Here …
hilly regions. The Indian Himalayan region is plagued by numerous major landslides. Here …
Integration of GIS and machine learning techniques for mapping the landslide-prone areas in the state of Goa, India
A landslide susceptibility map (LSM) assists in reducing the danger of landslides by locating
the landslide-prone locations within the designated area. One of the locations that are prone …
the landslide-prone locations within the designated area. One of the locations that are prone …
Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping
Landslide susceptibility assessment has always been the focus of landslide spatial
prediction research. In the present study, Muchuan County was selected as the study area …
prediction research. In the present study, Muchuan County was selected as the study area …
[HTML][HTML] Hybridizing genetic random forest and self-attention based CNN-LSTM algorithms for landslide susceptibility mapping in Darjiling and Kurseong, India
Landslides are a prevalent natural hazard in West Bengal, India, particularly in Darjeeling
and Kurseong, resulting in substantial socio-economic and physical consequences. This …
and Kurseong, resulting in substantial socio-economic and physical consequences. This …
Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning
A Pyakurel, D KC, BK Dahal - Scientific reports, 2024 - nature.com
Landslides are devastating natural disasters that generally occur on fragile slopes.
Landslides are influenced by many factors, such as geology, topography, natural drainage …
Landslides are influenced by many factors, such as geology, topography, natural drainage …
Sugar-Based Phase-Selective Supramolecular Self-Assembly System for Dye Removal and Selective Detection of Cu2+ Ions
PV Bhavya, K Soundarajan, JG Malecki… - ACS …, 2022 - ACS Publications
Simple, effective, and eco-friendly sugar-based phase-selective gelators were synthesized
at a low cost. They showed high gelling ability toward a wide range of solvents at lower …
at a low cost. They showed high gelling ability toward a wide range of solvents at lower …
Assessment of resampling methods on performance of landslide susceptibility predictions using machine learning in Kendari City, Indonesia
S Aldiansyah, F Wardani - Water Practice & Technology, 2024 - iwaponline.com
Landslide susceptibility projections that rely on independent models produce biased results.
This situation will worsen class balance if working with a small population. This study …
This situation will worsen class balance if working with a small population. This study …