Publications by authors named "Irfat Kabir"

Article Synopsis
  • Recent research in machine learning (ML) has focused on flood susceptibility modeling, though there's notable uncertainty in spatial predictions from these models due to varying outcomes.
  • This study introduces a framework to minimize spatial disagreement among four ML models: random forest, k-nearest neighbor, multilayer perceptron, and a hybrid genetic algorithm, specifically in the southwest coastal region of Bangladesh.
  • The optimized model showed improved prediction accuracy and reduced classification errors, with implications for developing risk-based plans and enhancing early warning systems for floods.
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