Risk management system - Open Access .click

Results 21 to 30 of about 1,453,938 (120)

AI-Enabled conditional nonlinear optimal perturbation enhances ensemble prediction of extreme El Niño events

npj Climate and Atmospheric Science
Data-driven deep learning (DL) models often underestimate the intensity of extreme weather and climate events due to the scarcity of extreme samples in training datasets and the smoothing effects of gradient-based optimization.
Lu Zhou, Rong-Hua Zhang, Lingjiang Tao
doaj +1 more source

An integrated evaluation for SWOT KaRIn Level-2 significant wave height product

GIScience & Remote Sensing
Significant wave height (SWH) is a crucial parameter for studying ocean wave fields. Conventional nadir altimeters provide global SWH records via along-track sampling, yet their limited effective resolution constrains the capture of small-scale wave ...
Hang Xie +4 more
doaj +1 more source

Comparative Analysis of dNBR, dNDVI, SVM Kernels, and ISODATA for Wildfire-Burned Area Mapping Using Sentinel-2 Imagery

Remote Sensing
Accurate and rapid delineation of wildfire-affected areas is essential in the era of climate-driven increases in fire frequency. This study compares and analyzes four techniques for identifying wildfire-affected areas using Sentinel-2 satellite imagery: (
Sang-Hoon Lee +5 more
doaj +1 more source

K-Correspondences, USCOs, and fixed point problems arising in discounted stochastic games

Fixed Point Theory and Applications, 2020
We establish a fixed point theorem for the composition of nonconvex, measurable selection valued correspondences with Banach space valued selections.
Frank H. Page, Jing Fu
doaj +1 more source

Suppression of Parasitic Peaks on CFOSAT SWIM Wave Spectra Based on a Specific Parametric Method

Remote Sensing
Parasitic peaks are observed in the low wavenumber regions of Surface Waves Investigation and Monitoring (SWIM) wave height spectra. They can be attributed to random fluctuations in the wave spectra caused mainly by speckle noise, compromising the ...
Jingwei Gu +5 more
doaj +1 more source

The Intrinsic Timing Relationship Between Tropical Cyclone Maximum Intensification Rate and Lifetime Maximum Intensity

Geophysical Research Letters
The intensification rate (IR) equation, derived from a time‐dependent simplified energetically based dynamical system (EBDS), links tropical cyclone (TC) intensity, IR, and their evolutions, suggesting a connection between the timing of TC lifetime ...
Qingyang Xiong, Qiaoyan Wu
doaj +1 more source

Design and Validation of an Edge-AI Fire Safety System with SmartThings Integration for Accelerated Detection and Targeted Suppression

Applied Sciences
This study presents the design and validation of an integrated fire safety system that leverages edge AI, hybrid sensing, and precision suppression to overcome the latency and collateral limitations of conventional smoke detection and sprinkler systems ...
Seung-Jun Lee +3 more
doaj +1 more source

Influence of Clouds and Aerosols on Solar Irradiance and Application of Climate Indices in Its Monthly Forecast over China

Atmosphere
Based on the Clouds and the Earth’s Radiant Energy System (CERES) satellite data from 2001 to 2023 and the climate indices from the National Oceanic and Atmospheric Administration (NOAA), this study analyzes the solar irradiance over mainland China and ...
Shuting Zhang, Xiaochun Wang
doaj +1 more source

BIM-based digital platform and risk management system for mountain tunnel construction. [PDF]

Sci Rep, 2023
Liu N, Guo D, Song Z, Zhong S, Hu R.
europepmc +1 more source

A Bias Correction Scheme for FY-3E/HIRAS-II Data Assimilation Based on EXtreme Gradient Boosting

Remote Sensing
More and more spaceborne infrared hyperspectral atmospheric observations are assimilated into data assimilation systems. The key to bias correction (BC) of these instruments depends on selecting predictors.
Hongtao Chen, Li Guan
doaj +1 more source

science
deep learning
machine learning