A Preliminary Study on Retro-reconstruction of Cell Fission Dynamic Process using Convolutional LSTM Neural Networks

Mapping Intimacies ◽

10.1109/embc46164.2021.9630429 ◽

2021 ◽

Author(s):

Yuding Wang ◽

Ting Gang Chew ◽

Liangjing Yang

Keyword(s):

Neural Networks ◽

Dynamic Process ◽

Preliminary Study ◽

Convolutional Lstm

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The application of neural networks to myoelectric signal analysis: a preliminary study

IEEE Transactions on Biomedical Engineering ◽

10.1109/10.52324 ◽

1990 ◽

Vol 37 (3) ◽

pp. 221-230 ◽

Author(s):

M.F. Kelly ◽

P.A. Parker ◽

R.N. Scott

Keyword(s):

Neural Networks ◽

Signal Analysis ◽

Myoelectric Signal ◽

Preliminary Study

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Adaptive and dynamic process planning using neural networks

International Journal of Production Research ◽

10.1080/00207540110049034 ◽

2001 ◽

Vol 39 (13) ◽

pp. 2923-2946 ◽

Author(s):

Jaekoo Joo ◽

Sungsik Park ◽

Hyunbo Cho

Keyword(s):

Neural Networks ◽

Process Planning ◽

Dynamic Process

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Adopting Neural Networks in GNSS-IMU integration: A Preliminary study

10.1109/dasc52595.2021.9594430 ◽

2021 ◽

Author(s):

Yujin Shin ◽

Cheolmin Lee ◽

Euiho Kim ◽

Todd Walter

Keyword(s):

Neural Networks ◽

Preliminary Study

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Dynamic process modeling and fault prediction using artificial neural networks

Handbook of Neural Computation ◽

10.1887/0750303123/b365c105 ◽

2004 ◽

Author(s):

Barry Lennox ◽

Gary A Montague

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Process Modeling ◽

Dynamic Process ◽

Fault Prediction ◽

Artificial Neural

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Preliminary Study of Fault Detection on an Islanded Microgrid Using Artificial Neural Networks

2020 International SAUPEC/RobMech/PRASA Conference ◽

10.1109/saupec/robmech/prasa48453.2020.9041063 ◽

2020 ◽

Author(s):

Itani Phafula ◽

Ellen De Mello Koch ◽

Ken Nixon

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Preliminary Study ◽

Islanded Microgrid ◽

Artificial Neural

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Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-24965-5_25 ◽

2011 ◽

pp. 230-239 ◽

Author(s):

Nikola Kasabov ◽

Kshitij Dhoble ◽

Nuttapod Nuntalid ◽

Ammar Mohemmed

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Object Recognition ◽

Temporal Pattern ◽

Moving Object ◽

Spiking Neural Networks ◽

Temporal Pattern Recognition ◽

Preliminary Study ◽

Spatio Temporal

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Dynamic process modelling using locally recurrent neural networks

Proceedings of 1995 American Control Conference - ACC'95 ◽

10.1109/acc.1995.532353 ◽

2005 ◽

Author(s):

Jie Zhang ◽

A.J. Morris

Keyword(s):

Neural Networks ◽

Dynamic Process ◽

Recurrent Neural Networks ◽

Process Modelling ◽

Locally Recurrent

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Recurrent neural networks for recursive identification of nonlinear dynamic process

Proceedings of 1994 IEEE International Conference on Industrial Technology - ICIT '94 ◽

10.1109/icit.1994.467030 ◽

2002 ◽

Author(s):

Jia-Wen Dong ◽

Ji-Xin Qian ◽

You-Xian Sun

Keyword(s):

Neural Networks ◽

Dynamic Process ◽

Recurrent Neural Networks ◽

Nonlinear Dynamic ◽

Recursive Identification

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Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM

Medical Imaging 2018: Image Processing ◽

10.1117/12.2293984 ◽

2018 ◽

Author(s):

Antong Chen ◽

Dongqing Zhang ◽

Ilknur Icke ◽

Belma Dogdas ◽

Sarayu Parimal ◽

...

Keyword(s):

Neural Networks ◽

Left Ventricle ◽

Convolutional Neural Networks ◽

Mr Images ◽

Fully Convolutional Neural Networks ◽

Cine Mr ◽

Cardiac Cine ◽

Convolutional Lstm ◽

Left Ventricle Myocardium

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Applying Deep Neural Networks (DNN) for Measuring Photometric Redshifts from Galaxy Images: Preliminary Study

Journal of Physics Conference Series ◽

10.1088/1742-6596/1231/1/012013 ◽

2019 ◽

Vol 1231 ◽

pp. 012013

Author(s):

M R I Syarifudin ◽

M I Hakim ◽

M I Arifyanto

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Photometric Redshifts ◽

Preliminary Study

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