Results 11 to 20 of about 12,657,247 (336)
Long-Short Term Echo State Network for Time Series Prediction
IEEE Access, 2020 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”
American Journal of Transplantation, 2023 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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Long-term Timing of 374 Pulsars [PDF]
Symposium - International Astronomical Union, 2004 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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ESC Heart Failure, 2022 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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Swimming exercise improves short‐ and long‐term memories: Time‐course changes
Physiological Reports, 2021 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
IET Image Processing, 2021 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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Short-Term Load Forecasting: The Similar Shape Functional Time Series Predictor [PDF]
, 2012 We introduce a novel functional time series methodology for short-term load forecasting. The prediction is performed by means of a weighted average of past daily load segments, the shape of which is similar to the expected shape of the load segment to be
Paparoditis, Efstathios +1 more
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Time lags: insights from the U.S. Long Term Ecological Research Network
Ecosphere, 2021 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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Lower bounds for blow up time of the p-Laplacian equation with damping term [PDF]
Mathematica Moravica, 2021 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
Barometr Regionalny, 2016 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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