neural networks Latest Research Papers

Deep multi-graph neural networks with attention fusion for recommendation

Expert Systems with Applications ◽

10.1016/j.eswa.2021.116240 ◽

2022 ◽

Vol 191 ◽

pp. 116240

Author(s):

Yuzhi Song ◽

Hailiang Ye ◽

Ming Li ◽

Feilong Cao

Keyword(s):

Neural Networks ◽

Graph Neural Networks

Non-Intrusive Reduced Order Modeling of Convection Dominated Flows Using Artificial Neural Networks with Application to Rayleigh-Taylor Instability

Communications in Computational Physics ◽

10.4208/cicp.oa-2020-0064 ◽

2022 ◽

Vol 30 (1) ◽

pp. 97-123

Author(s):

Zhen Gao

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Reduced Order Modeling ◽

Taylor Instability ◽

Reduced Order ◽

Rayleigh Taylor Instability ◽

Artificial Neural ◽

Convection Dominated

Time-Series Prediction in Nodal Networks Using Recurrent Neural Networks and a Pairwise-Gated Recurrent Unit Approach

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering ◽

10.1061/ajrua6.0001221 ◽

2022 ◽

Vol 8 (2) ◽

Author(s):

Yanjie Tong ◽

Iris Tien

Keyword(s):

Neural Networks ◽

Time Series ◽

Recurrent Neural Networks ◽

Time Series Prediction ◽

Gated Recurrent Unit

MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.103404 ◽

2022 ◽

Vol 73 ◽

pp. 103404

Author(s):

Bin Huang ◽

Weihai Chen ◽

Chun-Liang Lin ◽

Chia-Feng Juang ◽

Jianhua Wang

Keyword(s):

Blood Pressure ◽

Neural Networks ◽

Pressure Measurement ◽

Blood Pressure Measurement ◽

Ecg Signals ◽

Cuffless Blood Pressure

Investigating the Service Quality of Kocaeli Tram Service Using Artificial Neural Networks

Teknik Dergi ◽

10.18400/tekderg.783110 ◽

2022 ◽

Author(s):

Selim DÜNDAR

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Service Quality ◽

Artificial Neural

Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2021.108453 ◽

2022 ◽

Vol 166 ◽

pp. 108453

Author(s):

Wannes De Groote ◽

Sofie Van Hoecke ◽

Guillaume Crevecoeur

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Cam Follower

Interweave features of Deep Convolutional Neural Networks for semantic segmentation

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2021.104587 ◽

2022 ◽

Vol 109 ◽

pp. 104587

Author(s):

Shuang Bai ◽

Wenchao Gu ◽

Lingxing Kong

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Semantic Segmentation ◽

Deep Convolutional Neural Networks

Atrial fibrillation detection using convolutional neural networks on 2-dimensional representation of ECG signal

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.103470 ◽

2022 ◽

Vol 74 ◽

pp. 103470

Author(s):

Bartłomiej Król-Józaga

Keyword(s):

Atrial Fibrillation ◽

Neural Networks ◽

Convolutional Neural Networks ◽

Ecg Signal ◽

Dimensional Representation ◽

Atrial Fibrillation Detection

Stochastic stability criteria and event-triggered control of delayed Markovian jump quaternion-valued neural networks

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.126904 ◽

2022 ◽

Vol 420 ◽

pp. 126904

Author(s):

Jinlong Shu ◽

Baowei Wu ◽

Lianglin Xiong

Keyword(s):

Neural Networks ◽

Stochastic Stability ◽

Stability Criteria ◽

Markovian Jump ◽

Event Triggered

A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2021.113826 ◽

2022 ◽

Vol 403 ◽

pp. 113826

Author(s):

Dimitrios Gerontitis ◽

Ratikanta Behera ◽

Panagiotis Tzekis ◽

Predrag Stanimirović

Keyword(s):

Neural Networks ◽

Finite Time ◽

Sylvester Equation ◽

Time Varying

neural networks
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Deep multi-graph neural networks with attention fusion for recommendation

Non-Intrusive Reduced Order Modeling of Convection Dominated Flows Using Artificial Neural Networks with Application to Rayleigh-Taylor Instability

Time-Series Prediction in Nodal Networks Using Recurrent Neural Networks and a Pairwise-Gated Recurrent Unit Approach

MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks

Investigating the Service Quality of Kocaeli Tram Service Using Artificial Neural Networks

Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks

Interweave features of Deep Convolutional Neural Networks for semantic segmentation

Atrial fibrillation detection using convolutional neural networks on 2-dimensional representation of ECG signal

Stochastic stability criteria and event-triggered control of delayed Markovian jump quaternion-valued neural networks

A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application

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neural networksRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Deep multi-graph neural networks with attention fusion for recommendation

Non-Intrusive Reduced Order Modeling of Convection Dominated Flows Using Artificial Neural Networks with Application to Rayleigh-Taylor Instability

Time-Series Prediction in Nodal Networks Using Recurrent Neural Networks and a Pairwise-Gated Recurrent Unit Approach

MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks

Investigating the Service Quality of Kocaeli Tram Service Using Artificial Neural Networks

Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks

Interweave features of Deep Convolutional Neural Networks for semantic segmentation

Atrial fibrillation detection using convolutional neural networks on 2-dimensional representation of ECG signal

Stochastic stability criteria and event-triggered control of delayed Markovian jump quaternion-valued neural networks

A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application

neural networks
Recently Published Documents