Firefly algorithm and its variants in digital image processing: A comprehensive review
The significance and requirements of digital image processing arise from two main areas of
applications: the improvement of visual information for human interpretation and the …
applications: the improvement of visual information for human interpretation and the …
Landslide detection using residual networks and the fusion of spectral and topographic information
Landslide inventories are in high demand for risk assessment of this natural hazard,
particularly in tropical mountainous regions. This research designed residual networks for …
particularly in tropical mountainous regions. This research designed residual networks for …
Optimized neural architecture for automatic landslide detection from high-resolution airborne laser scanning data
An accurate inventory map is a prerequisite for the analysis of landslide susceptibility,
hazard, and risk. Field survey, optical remote sensing, and synthetic aperture radar …
hazard, and risk. Field survey, optical remote sensing, and synthetic aperture radar …
Multimodal particle swarm optimization for feature selection
The purpose of feature selection (FS) is to eliminate redundant and irrelevant features and
leave useful features for classification, which can not only reduce the cost of classification …
leave useful features for classification, which can not only reduce the cost of classification …
A GIS-based spatiotemporal modelling of urban traffic accidents in Tabriz City during the COVID-19 pandemic
The main aim of the present study was to investigate the spatiotemporal trends of urban
traffic accident hotspots during the COVID-19 pandemic. The severity index was used to …
traffic accident hotspots during the COVID-19 pandemic. The severity index was used to …
An improved algorithm for identifying shallow and deep-seated landslides in dense tropical forest from airborne laser scanning data
Landslides are natural disasters that cause environmental and infrastructure damage
worldwide. They are difficult to be recognized, particularly in densely vegetated regions of …
worldwide. They are difficult to be recognized, particularly in densely vegetated regions of …
Optimization of urban heat effect mitigation based on multi-type ant colony algorithm
Y Zhang, X Chen, D Lv, Y Zhang - Applied Soft Computing, 2021 - Elsevier
The urban heat effect brings with a series of challenges for urban ecology and population
health. In order to mitigate the adverse impacts of the urban heat effect quantitatively and …
health. In order to mitigate the adverse impacts of the urban heat effect quantitatively and …
Landslide susceptibility mapping using ant colony optimization strategy and deep belief network in Jiuzhaigou Region
Y Xiong, Y Zhou, F Wang, S Wang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Landslidesusceptibility mapping (LSM) is the primary link of geological disaster risk
evaluation, which is significant for postearthquake emergency response and rebuilding after …
evaluation, which is significant for postearthquake emergency response and rebuilding after …
Optimized rule-based logistic model tree algorithm for mapping mangrove species using ALOS PALSAR imagery and GIS in the tropical region
The main objective of this study is to map the spatial distribution of mangrove species and
assess their changes from 2010 to 2015 in Hai Phong City of Vietnam located on the tropical …
assess their changes from 2010 to 2015 in Hai Phong City of Vietnam located on the tropical …
Synergistic use of particle swarm optimization, artificial neural network, and extreme gradient boosting algorithms for urban LULC mapping from WorldView-3 images
Geographic object-based image analysis (GEOBIA) has emerged as an effective and
evolving paradigm for analyzing very high resolution (VHR) images as it demonstrates …
evolving paradigm for analyzing very high resolution (VHR) images as it demonstrates …