Mili (2023) -

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

The work by addresses the critical interdependencies between power grids, communication networks, and social behavior during disasters. Mili (2023)

: 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 : The paper establishes robust modeling strategies for

: Unlike previous models that only simulated these dynamics, this 2023 framework introduces control channels for three key agencies: power, communication, and emergency management. This work provides a mechanism to ensure no

: This study investigates both firm-specific and macroeconomic determinants affecting the efficiency of commercial banks in Bangladesh .

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

: It likely explores issues such as infrastructure limitations, accessibility, and the quality of curriculum in a developing regional context. Economic and Banking Analysis