Applying three explainable AI tools to a random forest model on the WUSTL-HDRL-2024 dataset yields qualitative feature-level explanations aimed at attack detection in 6G healthcare networks, but the validation is limited to a single sample.
Explainable AI and mass surveillance system -based healthcare framework to combat COVID -I9 like pandemics
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Explainable AI for Securing Healthcare in IoT-Integrated 6G Wireless Networks
Applying three explainable AI tools to a random forest model on the WUSTL-HDRL-2024 dataset yields qualitative feature-level explanations aimed at attack detection in 6G healthcare networks, but the validation is limited to a single sample.