A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily ...
The AI-based simulator takes into account variables such as forecast demand in each region, transport costs and the operational capacity of each warehouse to test various inventory replenishment ...
ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...
The simulation hypothesis—the idea that our universe might be an artificial construct running on some advanced alien computer—has long captured the public imagination. Yet most arguments about it rest ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Abstract: Accurate forecasts of short-term electricity consumption are essential for efficient energy management in buildings and residential households. This research introduces a new approach for ...
The consortium running the European Space Agency's (ESA) Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms developed by UZH ...
It’s no secret that much of social media has become profoundly dysfunctional. Rather than bringing us together into one utopian public square and fostering a healthy exchange of ideas, these platforms ...
Abstract: Aiming at the influence of various external factors on the range of projectile launching, and the problems of time error accumulation and precision decline ...
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