Results 31 to 40 of about 98,687 (237)
Graphical Analysis of the Progression of Atrial Arrhythmia Using Recurrent Neural Networks
International Journal of Computational Intelligence Systems, 2020 Pacemaker logs are used to predict the progression of paroxysmal cardiac arrhythmia to permanent atrial fibrillation by means of different deep learning algorithms. Recurrent Neural Networks are trained on data produced by a generative model.
Nahuel Costa +3 more
doaj +1 more source
IET Smart Grid, 2022 The automated identification and localisation of grid disturbances is a major research area and key technology for the monitoring and control of future power systems.
André Kummerow +2 more
doaj +1 more source
Cross refinement network with edge detection for salient object detection
IET Signal Processing, 2021 Salient object detection aims to identify the most attractive objects from images. However, their boundaries are typically of poor quality when predicted using available methods.
Junjiang Xiang +4 more
doaj +1 more source
Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems [PDF]
IFAC-PapersOnLine, 2019 The use of recurrent neural networks to represent the dynamics of unstable systems is difficult due to the need to properly initialize their internal states, which in most of the cases do not have any physical meaning, consequent to the non-smoothness of
Simone Pozzoli +2 more
semanticscholar +1 more source
Patterns, 2021 Summary Microstructural evolution is a key aspect of understanding and exploiting the processing-structure-property relationship of materials. Modeling microstructure evolution usually relies on coarse-grained simulations with evolution principles ...
Kaiqi Yang +7 more
semanticscholar +1 more source
A BiLSTM cardinality estimator in complex database systems based on attention mechanism
CAAI Transactions on Intelligence Technology, 2022 An excellent cardinality estimation can make the query optimiser produce a good execution plan. Although there are some studies on cardinality estimation, the prediction results of existing cardinality estimators are inaccurate and the query efficiency ...
Qiang Zhou +8 more
doaj +1 more source
A comprehensive framework from real‐time prognostics to maintenance decisions
IET Collaborative Intelligent Manufacturing, 2021 Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory‐based prognostics module employing the
Amit Kumar Jain +4 more
doaj +1 more source
Learning Recurrent Neural Net Models of Nonlinear Systems
, 2020 15 pages; previous versions, including the one in Proc. L4DC 2021, had an error in Theorem 3.1, which propagated to the main result (Theorem 3.2)
Hanson, Joshua +2 more
openaire +2 more sources
CAAI Transactions on Intelligence Technology, 2021 The problem of automatic and accurate forecasting of time‐series data has always been an interesting challenge for the machine learning and forecasting community.
Rohit Kaushik +3 more
doaj +1 more source
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
, 2022 Accepted to ICLR 2023, 9 pages, 2 figures plus ...
Cohen-Karlik, Edo +4 more
openaire +2 more sources