What question did this study set out to answer?

To develop an integrated, explainable artificial intelligence framework combining diverse machine learning models and real-time environmental data for urban flood prediction and decision-making.

August 16, 2026African Journal of Science Technology Innovation and Development

A novel AI-driven framework for trusted decisions and sustainable flood management in smart cities

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To develop an integrated, explainable artificial intelligence framework combining diverse machine learning models and real-time environmental data for urban flood prediction and decision-making.
Integrated convolutional neural networks for drainage image analysis, k-means clustering for rainfall and blockage pattern recognition, and random forest classification for structured data processing.
Coupled machine learning outputs with a semantic rule-based system that processes real-time sensor streams and weather API feeds alongside explainable AI techniques.
The integrated artificial intelligence model achieved an F1-score of 0.97 in predictive flood modeling.
The framework provided transparent, explainable recommendations to support disaster management authorities and urban planners in deploying proactive flood mitigation measures.

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Implication

Computational modeling study demonstrates high-accuracy flood prediction using hybrid machine learning in smart cities, highlighting explainable real-time decision support for urban resilience.

Cite This Study

Shaikh et al. (2026) studied this question.

synapsesocial.com/papers/6a8179cbf2fb91fc834ad1d3 https://doi.org/10.1080/20421338.2026.2686663

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Implication

Computational modeling study demonstrates high-accuracy flood prediction using hybrid machine learning in smart cities, highlighting explainable real-time decision support for urban resilience.

A novel AI-driven framework for trusted decisions and sustainable flood management in smart cities

Key Points

Discussion

Implication

Cite This Study

A novel AI-driven framework for trusted decisions and sustainable flood management in smart cities

Key Points

Discussion

Implication

Cite This Study

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