The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
[HTML][HTML] Particle swarm optimization based LSTM networks for water level forecasting: A case study on Bangladesh river network
Floods are one of the most catastrophic natural disasters. Water level forecasting is an
essential method of avoiding floods and disaster preparedness. In recent years, models for …
essential method of avoiding floods and disaster preparedness. In recent years, models for …
[HTML][HTML] Flood prediction with time series data mining: Systematic review
DK Hakim, R Gernowo, AW Nirwansyah - Natural Hazards Research, 2023 - Elsevier
The global community is continuously working to minimize the impact of disasters through
various actions, including earth surveying. For example, flood-prone areas must be …
various actions, including earth surveying. For example, flood-prone areas must be …
An integrated artificial intelligence of things environment for river flood prevention
River floods are listed among the natural disasters that can directly influence different
aspects of life, ranging from human lives, to economy, infrastructure, agriculture, etc …
aspects of life, ranging from human lives, to economy, infrastructure, agriculture, etc …
An intelligent early flood forecasting and prediction leveraging machine and deep learning algorithms with advanced alert system
Flood disasters are a natural occurrence around the world, resulting in numerous casualties.
It is vital to develop an accurate flood forecasting and prediction model in order to curb …
It is vital to develop an accurate flood forecasting and prediction model in order to curb …
Application of image processing and transfer learning for the detection of rust disease
Plant diseases introduce significant yield and quality losses to the food production industry,
worldwide. Early identification of an epidemic could lead to more effective management of …
worldwide. Early identification of an epidemic could lead to more effective management of …
Sensitivity analysis of parameters affecting wetland water levels: A study of flood detention basin, Colombo, Sri Lanka
Wetlands play a vital role in ecosystems. They help in flood accumulation, water purification,
groundwater recharge, shoreline stabilization, provision of habitats for flora and fauna, and …
groundwater recharge, shoreline stabilization, provision of habitats for flora and fauna, and …
Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach
The occurrence of flash floods in urban catchments within the Mediterranean climate zone
has witnessed a substantial rise due to climate change, underscoring the urgent need for …
has witnessed a substantial rise due to climate change, underscoring the urgent need for …
Development of a distributed nonlinear Muskingum model by considering snowmelt effects for flood routing in the Red River
This research paper presents the development of a nonlinear Muskingum model which
achieves precise flood routing through river reaches while considering lateral inflow …
achieves precise flood routing through river reaches while considering lateral inflow …
[HTML][HTML] Deep learning for Multi-horizon Water levelForecasting in KRS reservoir, India
In recent times, the densely populated Bengaluru metropolis in India has faced challenges
related to water scarcity, particularly relying on the Krishna Raja Sagara (KRS) dam. The …
related to water scarcity, particularly relying on the Krishna Raja Sagara (KRS) dam. The …