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 …

[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 …

[HTML][HTML] Flood forecasting using hybrid LSTM and GRU models with lag Time Preprocessing

Y Zhang, Z Zhou, J Van Griensven Thé, SX Yang… - Water, 2023 - mdpi.com
Climate change and urbanization have increased the frequency of floods worldwide,
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 …

Multimodal age and gender estimation for adaptive human-robot interaction: A systematic literature review

HA Younis, NIR Ruhaiyem, AA Badr, AK Abdul-Hassan… - Processes, 2023 - mdpi.com
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 …

[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 …

Flood Prediction System Using IOT & Artificial Neural Network

M Wajid, MK Abid, AA Raza, M Haroon… - VFAST Transactions on …, 2024 - vfast.org
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 …

Urban flooding damage prediction in matrix scenarios of extreme rainfall using a convolutional neural network

M Wang, H Fan, H Yuan, D Zhang, J Su, S Zhou… - Journal of …, 2024 - Elsevier
The pivotal role of quantitative risk assessment in managing urban stormwater is
underscored by the high spatial heterogeneity and complex non-stationarity complex of …

Enhancing flood monitoring and prevention using machine learning and IoT integration

SAS Bukhari, I Shafi, J Ahmad, HT Butt, T Khurshaid… - Natural Hazards, 2024 - Springer
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 …

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 …