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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] Flood prediction with time series data mining: Systematic review
DK Hakim, R Gernowo, AW Nirwansyah - Natural Hazards Research, 2024 - 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 …
[HTML][HTML] Flood forecasting using hybrid LSTM and GRU models with lag Time Preprocessing
Climate change and urbanization have increased the frequency of floods worldwide,
resulting in substantial casualties and property loss. Accurate flood forecasting can offer …
resulting in substantial casualties and property loss. Accurate flood forecasting can offer …
Flood susceptibility map** through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran …
M Jahanbani, MH Vahidnia, H Aghamohammadi… - Earth Science …, 2024 - Springer
Floods, as natural disasters, impose significant human and financial burdens, necessitating
stringent mitigation measures. The recurrent annual incidence of floods precipitates …
stringent mitigation measures. The recurrent annual incidence of floods precipitates …
Multimodal age and gender estimation for adaptive human-robot interaction: A systematic literature review
Identifying the gender of a person and his age by way of speaking is considered a crucial
task in computer vision. It is a very important and active research topic with many areas of …
task in computer vision. It is a very important and active research topic with many areas of …
[HTML][HTML] How can we predict transportation stock prices using artificial intelligence? Findings from experiments with Long Short-Term Memory based algorithms
DA Kristiyanti, WBN Pramudya, SA Sanjaya - International Journal of …, 2024 - Elsevier
Inflation growth in Indonesia and other countries impacts the currency value and investors'
purchasing power, particularly in the transportation sector. This research explores the impact …
purchasing power, particularly in the transportation sector. This research explores the impact …
Flood Prediction System Using IOT & Artificial Neural Network
Floods pose significant challenges as one of nature's most devastating disasters, making the
development of accurate forecast model's complex. This issue has led to severe …
development of accurate forecast model's complex. This issue has led to severe …
Urban flooding damage prediction in matrix scenarios of extreme rainfall using a convolutional neural network
The pivotal role of quantitative risk assessment in managing urban stormwater is
underscored by the high spatial heterogeneity and complex non-stationarity complex of …
underscored by the high spatial heterogeneity and complex non-stationarity complex of …
Enhancing flood monitoring and prevention using machine learning and IoT integration
Floods subject human life, property, and infrastructure to the highest level of danger; hence,
proper monitoring with proper prevention action is necessary. This paper proposes a new …
proper monitoring with proper prevention action is necessary. This paper proposes a new …
Classification of short-term flood events using stochastic variable selection and Gaussian Naïve Bayes classifier: A case study of Sirajganj district, Bangladesh
C Mondal, MJ Uddin - Heliyon, 2025 - cell.com
Around the world, catastrophes caused by flooding are occurring naturally that cause a great
deal of fatalities and financial loss. The loss of life and property can be considerably reduced …
deal of fatalities and financial loss. The loss of life and property can be considerably reduced …