Abstract: The study addresses the problem of prediction of patient outcomes in healthcare with machine learning methods, including such options like logistic regression, decision trees, random forests ...
Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...
Researchers have pushed quantum chip design into a new era by simulating every physical detail before fabrication. Using a supercomputer with nearly 7,000 GPUs, they modeled how signals travel and ...
Abstract: As the integrated chip packaging technology progresses from 2.5-D to 3-D, new issues arise regarding the reliability of interconnects. The analysis of interconnect reliability is inherently ...
Semantic Scholar and Research Rabbit differ in discovery approach; one centers on figures and references, the other maps ...
Light-based quantum technologies, such as quantum communication and photonic quantum computing, require reliable sources of ...
Methods: We performed a search across 6 electronic databases for studies developing ML predictive models for ARDS, with a cutoff date of December 29, 2024. The risk of bias in these models was ...
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