A new Multidimensional Resilience Index shows that simultaneous failures across physical, cyber, and exogenous dimensions produce 46-fold greater resilience loss in power systems than isolated stress.
Towards improving prediction accuracy and user-level explainability using deep learning and knowledge graphs: A study on cassava disease
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A survey proposing a taxonomy of XAI techniques for food quality research organized by data types and explanation methods.
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Multidimensional Resilience for Electrical Power Systems: Systematic Review, Integrated Index, and Validation under Real-World Cyber-Physical Attack Scenarios
A new Multidimensional Resilience Index shows that simultaneous failures across physical, cyber, and exogenous dimensions produce 46-fold greater resilience loss in power systems than isolated stress.
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Explainable Artificial Intelligence Techniques for Interpretation of Food Models: a Review
A survey proposing a taxonomy of XAI techniques for food quality research organized by data types and explanation methods.