Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the flood of data generated by particle detectors at modern accelerators. The new ...
Abstract: The performance of grid partitioning methods has a significant impact on the results of distributed state estimation (DSE). Most existing grid partitioning methods struggle to balance node ...
The demonstrator model, based on Madrid urban conditions, is able to calculate yields but can also be used to evaluate alternative maximum power point tracking (MPPT) algorithms. The team combined ...
Once primarily associated with cryptocurrencies, this distributed ledger technology is proving its versatility across multiple industries, from finance and logistics to healthcare and entertainment.
Abstract: Neuromorphic computing has emerged as a promising paradigm for energy-efficient AI by mimicking brain-like event-driven processing. In parallel, geo-distributed sensor networks at the edge ...
Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...
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