Results 21 to 30 of about 3,778,426 (259)
Long-Short Term Echo State Network for Time Series Prediction
The Echo State Networks (ESNs) is an efficient recurrent neural network consisting of a randomly generated reservoir (a large number of neurons with sparse random recurrent connections) and a trainable linear layer.
Kaihong Zheng +5 more
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Time to discard the term “discard”
The 2022 Scientific Registry of Transplant Recipients Consensus Conference "People Driven Transplant Metrics" offered an opportunity for a diverse group of stakeholders in the solid organ transplant community to exchange ideas about what information and metrics are important to different stakeholders. Participating patients and family members called on
Allyson Hart +9 more
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Aims Data on long‐term treatment effects are scarce, despite the intent to use new therapies for many years and the need of patients, physicians and payers to have a better understanding of the lifetime benefits of treatments.
João Pedro Ferreira +6 more
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Long-term Timing of 374 Pulsars [PDF]
We have analyzed the arrival times for 374 pulsars that have been observed for more than six years using the 76-m Lovell telescope at Jodrell Bank Observatory. Here we present a qualitative analysis of structures seen in the timing residuals.
Hobbs, G., Lyne, A., Kramer, M.
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Swimming exercise improves short‐ and long‐term memories: Time‐course changes
The beneficial effects of exercise training on memory formation are well documented. However, the memory enhancement profile following the time‐course of exercise training remains unknown.
Mahmoud A. Alomari +2 more
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Real‐time long‐term tracking with reliability assessment and object recovery
In recent years, many visual tracking algorithms based on discriminative correlation filters have been proposed and proved to be successful in short‐term tracking.
Jun Liu +3 more
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Lower bounds for blow up time of the p-Laplacian equation with damping term [PDF]
In this work deals with the p-Laplacian wave equation with damping terms in a bounded domain. Under suitable conditions, we obtain a lower bounds for the blow up time.
Dınç Yavuz +2 more
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Temporal Disaggregation of Time Series with Regularization Term
Methods of temporal disaggregation are used to obtain high frequency time series from the same low frequency time series — so-called disaggregation—with respect to some additional consistency conditions between low and high frequency series.
Sebastian Wójcik
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Pre-Eclampsia Prevention by Timed Birth at Term
Background: Most preeclampsia occurs at term. There are no effective preventative strategies. We aimed to identify the optimal preeclampsia screening and timing of birth strategy for prevention of term preeclampsia. Methods: This secondary analysis was of data from a prospective ...
Laura A. Magee +6 more
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Time lags: insights from the U.S. Long Term Ecological Research Network
Ecosystems across the United States are changing in complex ways that are difficult to predict. Coordinated long‐term research and analysis are required to assess how these changes will affect a diverse array of ecosystem services.
Edward B. Rastetter +12 more
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