Mili (2023) -

Below is an overview of the key research themes and findings associated with "Mili (2023)" across these different domains. Cyber-Physical-Social (CPS) Resilience

: The paper establishes robust modeling strategies for Gaussian process (GP) regression by implementing Huber-type likelihood formulations . Mili (2023)

🚩 : If you were looking for a specific paper titled "Mili (2023)" that is not covered above, could you clarify the subject area (e.g., Engineering, Education, or Finance) so I can provide a more detailed analysis of that specific text? Below is an overview of the key research

: Traditional Gaussian models are sensitive to "vertical outliers" and "bad leverage points" caused by human error or sensor sensitivity. This work provides a mechanism to ensure no single observation can exert unlimited leverage on the model's predictions. Higher Education in Assam : Traditional Gaussian models are sensitive to "vertical

: Unlike previous models that only simulated these dynamics, this 2023 framework introduces control channels for three key agencies: power, communication, and emergency management.

The work by addresses the critical interdependencies between power grids, communication networks, and social behavior during disasters.

: The system is formulated as a three-player non-zero-sum differential game. It is solved using online actor-critic reinforcement learning, allowing for adaptive strategies to alleviate community fear during a crisis. Robust Gaussian Process Regression