Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Data-driven approaches to built environment flood resilience: A scientometric and critical review
Environmental hazards such as floods significantly frustrate the functionality of built assets.
In addressing flood-induced challenges, data usage has become important. Despite existing …
In addressing flood-induced challenges, data usage has become important. Despite existing …
Forecasting of compound ocean-fluvial floods using machine learning
Flood modelling and forecasting can enhance our understanding of flood mechanisms and
facilitate effective management of flood risk. Conventional flood hazard and risk …
facilitate effective management of flood risk. Conventional flood hazard and risk …
Alternate pathway for regional flood frequency analysis in data-sparse region
Accurately analyzing flood frequency is crucial for develo** effective flood management
strategies and designing flood protection infrastructure, but the complex and nonlinear …
strategies and designing flood protection infrastructure, but the complex and nonlinear …
[HTML][HTML] Artificial intelligence-based regional flood frequency analysis methods: a sco** review
Background: Open Access Editor's Choice Review Artificial Intelligence-Based Regional
Flood Frequency Analysis Methods: A Sco** Review by Amir Zalnezhad 1, Ataur Rahman …
Flood Frequency Analysis Methods: A Sco** Review by Amir Zalnezhad 1, Ataur Rahman …
Landslide susceptibility map** using an ensemble model of Bagging scheme and random subspace–based naïve Bayes tree in Zigui County of the Three Gorges …
X Hu, C Huang, H Mei, H Zhang - Bulletin of Engineering Geology and the …, 2021 - Springer
A novel machine learning ensemble model that is a hybridization of Bagging and random
subspace–based naïve Bayes tree (RSNBtree), named as BRSNBtree, was used to prepare …
subspace–based naïve Bayes tree (RSNBtree), named as BRSNBtree, was used to prepare …
Impact of climate change on future flood susceptibility: an evaluation based on deep learning algorithms and GCM model
Floods are common and recurring natural hazards which damages is the destruction for
society. Several regions of the world with different climatic conditions face the challenge of …
society. Several regions of the world with different climatic conditions face the challenge of …
[HTML][HTML] Study on spring drought in cold and arid regions based on the ANOVA projection pursuit model
W Pei, L Hao, Q Fu, Y Ren, T Li - Ecological Indicators, 2024 - Elsevier
Due to the influence of snow cover and soil freeze–thaw processes in the early spring, the
characteristics of spring drought in cold regions are different from those in other regions …
characteristics of spring drought in cold regions are different from those in other regions …
Evaluation and prediction on abrasion resistance of hydraulic concrete after exposure to different freeze-thaw cycles
Considering that the hydraulic concrete structures in cold regions will suffer from the
combined action of freeze-thaw (FT) damage and hydraulic abrasion, the morphology …
combined action of freeze-thaw (FT) damage and hydraulic abrasion, the morphology …
[HTML][HTML] Regional flood frequency analysis in North Africa
The Maghreb countries located in North Africa are strongly impacted by floods, causing
extended damage and numerous deaths. Until now, the lack of accessibility of river …
extended damage and numerous deaths. Until now, the lack of accessibility of river …
New machine learning ensemble for flood susceptibility estimation
Floods are among the most severe natural hazard phenomena that affect people around the
world. Due to this fact, the identification of zones highly susceptible to floods became a very …
world. Due to this fact, the identification of zones highly susceptible to floods became a very …