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Application of AI-Based Models for Flood Water Level Forecasting and Flood Risk Classification
Owing to global climate change, the frequency of disasters has increased twelve-fold, with a corresponding approximately seventeen-fold increase in...
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Physics Informed Machine Learning (PIML) for Design, Management and Resilience-Development of Urban Infrastructures: A Review
Building resilient and sustainable urban infrastructures is imperative to prepare future generations against new pandemics and climate change...
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A Review on Urban Flood Management Techniques for the Smart City and Future Research
Flooding in cities is a worldwide occurrence that presents a significant problem to municipal administrations and urban planners. The loss of the...
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Artificial Intelligence in Disaster Management: A Survey
This paper provides a literature review of cutting-edge artificial intelligence-based methods for disaster management. Most governments are worried...
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Predicting Flood Water Level Using Combined Hybrid Model of Rainfall-Runoff and AI-Based Models
Vietnam faces on significant human and property losses from floods almost every year. Therefore, the aim of this study is to provide timely and...
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Risk Assessment Mmodel of Karst Tunnel Flood Based on Distance Discriminant Weighting and Set Pair Cloud
Flood has become the main hidden threat to the safety of the karst tunnel. Scientific and reasonable flood classification assessment and prevention...
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Dynamic and loss analysis of flood inundation in the floodplain area of the lower Yellow River considering ecological impact
The floodplain area in the lower Yellow River plays the function of flood detention and undertakes the production and living functions of residents....
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Flood Replication Using ANN Model Concerning with Various Catchment Characteristics: Narmada River Basin
Amongst the most destructive natural hazards, flood is the major cause of destruction to life and property. To ascertain the affected area under...
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State-of-the-Art Development of Two-Waves Artificial Intelligence Modeling Techniques for River Streamflow Forecasting
Streamflow forecasting is the most well studied hydrological science but still portray numerous unknown knowledge. The conventional physical-based...
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IoT Based Early Flood Detection and Avoidance System
The Early Flood Detection and Avoidance is a smart system that constantly monitors biological predictions for taking necessary steps to reduce flood...
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Artificial Intelligence and Education
There are two sides to this problem. On the one hand, it is important to ensure that enough people are aware of how artificial intelligence methods...
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Artificial Intelligence in Real-Time Rainfall-Runoff Modelling and Flood Forecasting
By recent advancements in computer science, using artificial intelligence (AI) has become popular and attracted many researchers from different...
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Flood Susceptibility Map** Using Novel Hybrid Approach of Neural Network with Genetic Quantum Ensembles
Flood susceptibility map** is an important method for flood research. In this paper, we combine a backpropagation neural network (BPNN) with a...
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Meta-heuristic Approach for Flood Control in Reservoir Operation
Besides irrigation and power generation, reservoirs in India also play a vital role in protecting the country from floods. During flood, reservoirs...
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A Novel Approach for RPL Based One and Multi-attacker Flood Attack Analysis
The Internet of Things (IoT) encompasses a vast network of interconnected devices, vehicles, appliances, and other items with embedded electronics,...
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Artificial Intelligence for Predicting Floods: A Climatic Change Phenomenon
The issue of predicting floodsFloods has received considerable critical attention, especially with the emergence of an increasing manner of climatic...
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The Potential of Machine Learning for Tackling Flood Disaster in Monrovia
Flooding is, and will likely continue to be, the most catastrophic natural event that undermines successful urban development in the develo**...
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Real-Time Flood Prediction System Using Machine Learning Algorithms
As computing power rises and machine learning algorithms improve, new options for flood detection are opened up using machine learning methodologies....
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Emergent Use of Artificial Intelligence and Social Media for Disaster Management
Timely access to up-to-date and relevant disaster information is crucial for disaster response organizations to make effective decisions and proper...
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A Risk Management Based on Artificial Intelligence Tools and Multi-criteria Decision Making Methods: Systematic Literature Review
Purpose: Multi-criteria decision-making (MCDM) methods especially The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)...