SPATIOTEMPORAL SLOPE STABILITY ANALYTICS FOR FAILURE ESTIMATION (SSSAFE): LINKING RADAR DATA TO THE FUNDAMENTAL DYNAMICS OF GRANULAR FAILURE

Spatiotemporal slope stability analytics for failure estimation (SSSAFE): linking radar data to the fundamental dynamics of granular failure

Abstract Impending catastrophic failure of granular earth slopes manifests distinct kinematic patterns in space and time.While risk assessments of slope failure hazards have routinely relied on the monitoring of ground motion, such precursory failure patterns remain poorly understood.A key challenge is the RED CLOVER multiplicity of spatiotemporal

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Boosting and Comparing Performance of Machine Learning Classifiers with Meta-heuristic Techniques to Detect Code Smell

Background: Continuous modifications, suboptimal software design practices, and stringent project deadlines contribute to the proliferation of code smells.Detecting and refactoring these code smells are pivotal to maintaining complex and essential software systems.Neglecting them may lead to future software defects, rendering systems challenging to

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