Forest fire susceptibility mapping with sensitivity and uncertainty analysis using machine learning and deep learning algorithms
In the hilly region of the Western Himalayas, forest fires play a crucial role in forest
destruction and biodiversity loss. Therefore, addressing the problem of forest fires is an …
destruction and biodiversity loss. Therefore, addressing the problem of forest fires is an …
Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India
Landslide is a big problem in the mountainous region all over the world. Sikkim Himalayan
region is also suffering from landslide problem. This study's main objective was to generate …
region is also suffering from landslide problem. This study's main objective was to generate …
A machine learning approach in spatial predicting of landslides and flash flood susceptible zones for a road network
In mountainous regions, landslides and flash floods are common and dangerous natural
hazards. They often happen at the same time and seriously affect residential areas and …
hazards. They often happen at the same time and seriously affect residential areas and …
Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural …
CONTEXT India's increasing population growth and unsystematic land cover transformation
have led to land degradation and a decline in agricultural production. To achieve optimum …
have led to land degradation and a decline in agricultural production. To achieve optimum …
Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia
Landslides and other disastrous natural catastrophes jeopardise natural resources, assets,
and people's lives. As a result, future resource management will necessitate landslide …
and people's lives. As a result, future resource management will necessitate landslide …
A novel combination of Deep Neural Network and Manta Ray Foraging Optimization for flood susceptibility mapping in Quang Ngai province, Vietnam
Floods are the most dangerous natural disasters globally, occurring on a large scale, and
cause significant economic and environmental damage. Therefore, determining flood …
cause significant economic and environmental damage. Therefore, determining flood …
Framework for risk assessment of economic loss from structures damaged by rainfall-induced landslides using machine learning
H Ishibashi - Georisk: Assessment and Management of Risk for …, 2024 - Taylor & Francis
Given the increased frequency of extreme rainfall events, pre-disaster countermeasures
against landslides triggered by heavy rainfall are important to enhance disaster resilience …
against landslides triggered by heavy rainfall are important to enhance disaster resilience …
Combining logistic regression-based hybrid optimized machine learning algorithms with sensitivity analysis to achieve robust landslide susceptibility mapping
Landslides and other catastrophic environmental disasters pose a significant danger to
environmental, infrastructure, and people's lives. This research aimed to construct four …
environmental, infrastructure, and people's lives. This research aimed to construct four …
Internet of Medical Things (IoMT) and Reflective Belief Design‐Based Big Data Analytics with Convolution Neural Network‐Metaheuristic Optimization Procedure …
A Sampathkumar, M Tesfayohani… - Computational …, 2022 - Wiley Online Library
In recent times, the Internet of Medical Things (IoMT) is a new loomed technology, which has
been deliberated as a promising technology designed for various and broadly connected …
been deliberated as a promising technology designed for various and broadly connected …
An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan
Landslides result in the devastation of property and loss of lives. This study assesses
landslide susceptibility by employing geographic information systems (GIS) and machine …
landslide susceptibility by employing geographic information systems (GIS) and machine …