Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Freshwater ecosystems worldwide have been suffering from declining oxygen levels—a trend known as deoxygenation—that ...
Researchers mapped 442,239 single nuclei from nonfailing human hearts to chart how cardiac cells change from fetal ...
Forbes contributors publish independent expert analyses and insights. Dara-Abasi Ita covers AI in boring asset classes and boring markets. This voice experience is generated by AI. Learn more. This ...
Abstract: As fake news spreads rapidly in social media, attempts to develop detection technology to automatically identify fake news are actively being developed, recently. However, most of them focus ...
Abstract: Precise forecasting of solar power output is crucial for integrating renewable energy into power networks, improving efficiency and dependability. This study assesses the efficacy of several ...
1 Microbiome Research Group, Research Centre for Life Science and Healthcare, Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute (CBI), University of Nottingham Ningbo ...
This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...
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