The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management

V Kumar, HM Azamathulla, KV Sharma, DJ Mehta… - Sustainability, 2023 - mdpi.com
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 …

An Internet-of-Things and AI-Powered Framework for Long-Term Flood Risk Evaluation

I Ahmed, M Ahmad, G Jeon… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Integrating Internet of Things (IoT) and artificial intelligence (AI) techniques have found
widespread application in various fields, including smart cities, agriculture, and …

A deep learning workflow enhanced with optical flow fields for flood risk estimation

CM Ranieri, TLD Souza, M Nishijima… - Applied …, 2024 - Springer
Owing to the physical and economic impacts of urban flooding, effective flood risk
management is of crucial importance. Thus, it is essential to employ reliable techniques for …

Evaluation of deep learning computer vision for water level measurements in rivers

WC Liu, WC Huang - Heliyon, 2024 - cell.com
Image-based gauging stations offer the potential for substantial enhancement in the
monitoring networks of river water levels. Nonetheless, the majority of camera gauges fall …

Towards precise flood prediction via hierachical terrain attention and multi-scale rainfall guidance

F Wang, Y Wang, S Chen, B Li, Q Huang - arXiv preprint arXiv:2212.01819, 2022 - arxiv.org
With the deterioration of climate, the phenomenon of rain-induced flooding has become
frequent. To mitigate its impact, recent works adopt convolutional neural networks or other …

Flood detection using remote sensing and deep learning approaches

S Patil, S Sawant, A Joshi - 2023 14th International Conference …, 2023 - ieeexplore.ieee.org
A flood is an overflow of water that covers dry land. Floods can happen for a number of
reasons, such as prolonged periods of severe rain, melting snow, or the collapse of levees …

Hierarchical Terrain Attention and Multi-Scale Rainfall Guidance for Flood Image Prediction

F Wang, Y Wang, B Li, Q Huang… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
With the deterioration of climate, the phenomenon of rain-induced flooding has become
frequent. To mitigate its impact, recent works adopt convolutional neural network or its …

Enhancing Water Level Identification with a Barcode-Patterned Panel and Machine Learning

GM Domingues Filho, CM Ranieri… - Anais do XX Encontro …, 2023 - sol.sbc.org.br
Floods cause significant material and human losses worldwide, leading to research in
monitoring water levels in urban streams. Existing technologies, such as pressure and …

[PDF][PDF] GeMGF-Generic Multimodal Gradient-Based Meta Framework

LM Enamoto - 2023 - ppgi.unb.br
O surgimento do Transformer, um modelo pré-treinado utilizando dados em larga escala, e
as suas recentes novas versões têm revolucionado as pesquisas de Machine Learning em …