Recurrent cancers are not captured in a standardized way by US tumor registries, making it difficult to conduct research on risk factors for cancer recurrence. We developed rule-based algorithms to be ...
Welcome! Bittensor is an open source platform on which you can produce competitive digital commodities. These digital commodities can be machine intelligence, storage space, compute power, protein ...
We investigated the real-world criteria and thresholds physicians use to classify patients with nonmetastatic castration-sensitive prostate cancer with biochemical recurrence as high risk, and how ...
NCP is a versioned, transport-agnostic wire contract that lets a running NEST network — point neurons (spiking, binary) and rate-based models — serve external robot, UAV, and analysis clients — for ...
Model-Free Predictive Current Control for PMSMs Based on a Physics-Informed Recurrent Neural Network
Abstract: Model-free predictive current control (MFPCC) based on the ultra-local model addresses the high parameter sensitivity characteristic of conventional model predictive current control (MPCC).
Abstract: Fuzzy rough set theory is an important approach for analyzing data uncertainty. However, the model lacks adaptive learning capabilities and cannot fit labeled data effectively in ...
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