Abstract: Building energy consumption has taken up to 40% of global energy use, which substantially increases the resources for greenhouse gas emissions. Among various sectors, the commercial building ...
Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...
Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...
Abstract: The relevance of old-school attendance means is fading fast in the ever-accelerated, technology-driven modern world. The system is getting prone to more errors and cases of proxy attendance.
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