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1D Convolutional Neural Networks and Applications: A Survey

1D Convolutional Neural Networks and Applications: A Survey

9 May 2019
S. Kiranyaz
Onur Avcı
Osama Abdeljaber
T. Ince
Moncef Gabbouj
D. Inman
    3DV
ArXivPDFHTML

Papers citing "1D Convolutional Neural Networks and Applications: A Survey"

50 / 135 papers shown
Title
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model
  for Vibration Signal Generation
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation
H. Yi
Lei Hou
Yuhong Jin
N. A. Saeed
Ali Kandil
Hao Duan
DiffM
31
21
0
13 Dec 2023
LSTM-CNN: An efficient diagnostic network for Parkinson's disease
  utilizing dynamic handwriting analysis
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis
Xuechao Wang
Junqing Huang
S. Nõmm
Marianna Chatzakou
Kadri Medijainen
A. Toomela
Michael Ruzhansky
23
6
0
20 Nov 2023
Predicting the Position Uncertainty at the Time of Closest Approach with
  Diffusion Models
Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models
Marta Guimarães
Cláudia Soares
Chiara Manfletti
40
2
0
09 Nov 2023
Graph Neural Networks and Time Series as Directed Graphs for Quality
  Recognition
Graph Neural Networks and Time Series as Directed Graphs for Quality Recognition
Angelica Simonetti
Ferdinando Zanchetta
AI4CE
21
0
0
04 Oct 2023
ECGNet: A generative adversarial network (GAN) approach to the synthesis
  of 12-lead ECG signals from single lead inputs
ECGNet: A generative adversarial network (GAN) approach to the synthesis of 12-lead ECG signals from single lead inputs
Max Bagga
Hyunbae Jeon
Alex Issokson
17
2
0
23 Sep 2023
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging
  Analysis
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis
Xiangzhu Meng
Wei Wei
Qiang Liu
Shu Wu
Liang Wang
27
0
0
14 Sep 2023
Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for
  Remaining Useful Life Prediction and Operational Condition Identification of
  Rotating Machines
Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines
Khoa Tran
H. Vu
L. D. Pham
N. Boudaoud
6
0
0
12 Sep 2023
Object Size-Driven Design of Convolutional Neural Networks: Virtual Axle
  Detection based on Raw Data
Object Size-Driven Design of Convolutional Neural Networks: Virtual Axle Detection based on Raw Data
Henik Riedel
Robert Steven Lorenzen
Clemens Hubler
29
1
0
04 Sep 2023
Split Without a Leak: Reducing Privacy Leakage in Split Learning
Split Without a Leak: Reducing Privacy Leakage in Split Learning
Khoa Nguyen
Tanveer Khan
A. Michalas
FedML
24
4
0
30 Aug 2023
Comparing AutoML and Deep Learning Methods for Condition Monitoring
  using Realistic Validation Scenarios
Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios
P. Goodarzi
A. Schütze
T. Schneider
31
0
0
28 Aug 2023
Solving PDEs on Spheres with Physics-Informed Convolutional Neural
  Networks
Solving PDEs on Spheres with Physics-Informed Convolutional Neural Networks
Guanhang Lei
Zhen Lei
Lei Shi
Chenyu Zeng
Ding-Xuan Zhou
38
4
0
18 Aug 2023
CeRF: Convolutional Neural Radiance Fields for New View Synthesis with
  Derivatives of Ray Modeling
CeRF: Convolutional Neural Radiance Fields for New View Synthesis with Derivatives of Ray Modeling
Xiaoyan Yang
Dingbo Lu
Yong Li
Chenhui Li
Changbo Wang
35
0
0
14 Jul 2023
Neural network analysis of neutron and X-ray reflectivity data:
  Incorporating prior knowledge for tackling the phase problem
Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem
Valentin Munteanu
V. Starostin
Alessandro Greco
L. Pithan
A. Gerlach
A. Hinderhofer
S. Kowarik
F. Schreiber
24
3
0
28 Jun 2023
Machine Learning and Kalman Filtering for Nanomechanical Mass
  Spectrometry
Machine Learning and Kalman Filtering for Nanomechanical Mass Spectrometry
M. Erdoğan
Nuri Berke Baytekin
S. Coban
A. Demir
18
4
0
01 Jun 2023
The Hessian perspective into the Nature of Convolutional Neural Networks
The Hessian perspective into the Nature of Convolutional Neural Networks
Sidak Pal Singh
Thomas Hofmann
Bernhard Schölkopf
33
11
0
16 May 2023
Gotcha! I Know What You are Doing on the FPGA Cloud: Fingerprinting
  Co-Located Cloud FPGA Accelerators via Measuring Communication Links
Gotcha! I Know What You are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links
Chongzhou Fang
Ning Miao
Han Wang
Jiacheng Zhou
T. Sheaves
J. Emmert
Avesta Sasan
Houman Homayoun
FedML
30
4
0
12 May 2023
Using Mobile Data and Deep Models to Assess Auditory Verbal
  Hallucinations
Using Mobile Data and Deep Models to Assess Auditory Verbal Hallucinations
Shayan Mirjafari
Subigya Nepal
Weichen Wang
Andrew T. Campbell
13
0
0
20 Apr 2023
GDP nowcasting with artificial neural networks: How much does long-term memory matter?
GDP nowcasting with artificial neural networks: How much does long-term memory matter?
Kristóf Németh
Dániel Hadházi
AI4TS
11
2
0
12 Apr 2023
A new transformation for embedded convolutional neural network approach
  toward real-time servo motor overload fault-detection
A new transformation for embedded convolutional neural network approach toward real-time servo motor overload fault-detection
Seyed Mohammad Hossein Abedy Nejad
M. A. Behzadi
A. Taheri
20
0
0
08 Apr 2023
Deep learning reduces sensor requirements for gust rejection on a small
  uncrewed aerial vehicle morphing wing
Deep learning reduces sensor requirements for gust rejection on a small uncrewed aerial vehicle morphing wing
Kevin P. T. Haughn
C. Harvey
D. J. Inman
AI4CE
25
7
0
06 Apr 2023
Modeling online adaptive navigation in virtual environments based on PID
  control
Modeling online adaptive navigation in virtual environments based on PID control
Yuyang Wang
J. Chardonnet
F. Mérienne
11
0
0
29 Mar 2023
Lipschitz-bounded 1D convolutional neural networks using the Cayley
  transform and the controllability Gramian
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian
Patricia Pauli
Ruigang Wang
I. Manchester
Frank Allgöwer
32
8
0
20 Mar 2023
Geometric Perception based Efficient Text Recognition
Geometric Perception based Efficient Text Recognition
P.N.Deelaka
D.R.Jayakodi
D.Y.Silva
21
3
0
08 Feb 2023
AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme
  using Few-Shot Learning for Mobile Platforms
AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms
Hossein Fereidooni
Jan König
Phillip Rieger
Marco Chilese
Bora Gökbakan
Moritz Finke
Alexandra Dmitrienko
A. Sadeghi
HAI
23
12
0
06 Feb 2023
TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned
  BERT
TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT
Bing Zhou
Lei Zou
Yingjie Hu
Y. Qiang
Daniel Goldberg
29
3
0
31 Jan 2023
Adversarial attacks and defenses on ML- and hardware-based IoT device
  fingerprinting and identification
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Gérome Bovet
Gregorio Martínez Pérez
AAML
29
17
0
30 Dec 2022
Lipschitz constant estimation for 1D convolutional neural networks
Lipschitz constant estimation for 1D convolutional neural networks
Patricia Pauli
Dennis Gramlich
Frank Allgöwer
31
13
0
28 Nov 2022
LU decomposition and Toeplitz decomposition of a neural network
LU decomposition and Toeplitz decomposition of a neural network
Yucong Liu
Simiao Jiao
Lek-Heng Lim
30
7
0
25 Nov 2022
Deep learning methods for drug response prediction in cancer:
  predominant and emerging trends
Deep learning methods for drug response prediction in cancer: predominant and emerging trends
A. Partin
Thomas Brettin
Yitan Zhu
Oleksandr Narykov
Austin R. Clyde
Jamie Overbeek
Department of Materials Science
15
54
0
18 Nov 2022
1-D Convolutional Graph Convolutional Networks for Fault Detection in
  Distributed Energy Systems
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems
Bang L. H. Nguyen
T. Vu
Thai-Thanh Nguyen
M. Panwar
R. Hovsapian
22
3
0
05 Nov 2022
Multimodal Neural Network For Demand Forecasting
Multimodal Neural Network For Demand Forecasting
Nitesh Kumar
K. Dheenadayalan
Suprabath Reddy
Sumant Kulkarni
AI4TS
19
4
0
20 Oct 2022
A New Spatio-Temporal Loss Function for 3D Motion Reconstruction and
  Extended Temporal Metrics for Motion Evaluation
A New Spatio-Temporal Loss Function for 3D Motion Reconstruction and Extended Temporal Metrics for Motion Evaluation
Mansour Tchenegnon
Sylvie Gibet
Thibaut Le Naour
3DH
16
1
0
16 Oct 2022
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach
  for Rotating Machinery exploiting Augmented Synthetic Data
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data
L. Brito
Gian Antonio Susto
J. N. Brito
M. Duarte
34
45
0
06 Oct 2022
Improving Convolutional Neural Networks for Fault Diagnosis by
  Assimilating Global Features
Improving Convolutional Neural Networks for Fault Diagnosis by Assimilating Global Features
Saif S. S. Al-Wahaibi
Qiugang Lu
16
2
0
03 Oct 2022
MalDetConv: Automated Behaviour-based Malware Detection Framework Based
  on Natural Language Processing and Deep Learning Techniques
MalDetConv: Automated Behaviour-based Malware Detection Framework Based on Natural Language Processing and Deep Learning Techniques
Pascal Maniriho
A. N. Mahmood
M. Chowdhury
19
7
0
08 Sep 2022
Speech Emotion Recognition using Supervised Deep Recurrent System for
  Mental Health Monitoring
Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring
Nelly Elsayed
Zag ElSayed
Navid Asadizanjani
Murat Ozer
Ahmed Abdelgawad
Magdy A. Bayoumi
AI4MH
14
12
0
26 Aug 2022
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion
  Recognition
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition
Ye Qiao
Mohammed Alnemari
N. Bagherzadeh
MQ
13
7
0
26 Jul 2022
A two-step machine learning approach to statistical post-processing of
  weather forecasts for power generation
A two-step machine learning approach to statistical post-processing of weather forecasts for power generation
Ágnes Baran
Sándor Baran
11
6
0
15 Jul 2022
Computational Complexity Evaluation of Neural Network Applications in
  Signal Processing
Computational Complexity Evaluation of Neural Network Applications in Signal Processing
Pedro J. Freire
S. Srivallapanondh
A. Napoli
Jaroslaw E. Prilepsky
S. Turitsyn
37
1
0
24 Jun 2022
Self-supervised Pretraining and Transfer Learning Enable Flu and
  COVID-19 Predictions in Small Mobile Sensing Datasets
Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets
Michael Merrill
Tim Althoff
AI4TS
23
14
0
26 May 2022
An Artificial Neural Network Functionalized by Evolution
An Artificial Neural Network Functionalized by Evolution
Fabien Furfaro
Avner Bar-Hen
Geoffroy Berthelot
21
0
0
16 May 2022
Res-CNN-BiLSTM Network for overcoming Mental Health Disturbances caused
  due to Cyberbullying through Social Media
Res-CNN-BiLSTM Network for overcoming Mental Health Disturbances caused due to Cyberbullying through Social Media
Raunak Joshi
Abhishek Gupta
Nandan Kanvinde
26
3
0
20 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
35
84
0
13 Apr 2022
Global ECG Classification by Self-Operational Neural Networks with
  Feature Injection
Global ECG Classification by Self-Operational Neural Networks with Feature Injection
M. Zahid
S. Kiranyaz
Moncef Gabbouj
22
41
0
07 Apr 2022
Automatic COVID-19 disease diagnosis using 1D convolutional neural
  network and augmentation with human respiratory sound based on parameters:
  cough, breath, and voice
Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice
Kranthi Kumar Lella
Alphonse Pja
27
64
0
14 Dec 2021
A deep learning model for data-driven discovery of functional
  connectivity
A deep learning model for data-driven discovery of functional connectivity
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
GNN
14
23
0
07 Dec 2021
Graph neural network-based fault diagnosis: a review
Graph neural network-based fault diagnosis: a review
Zhi-wen Chen
Jiamin Xu
Cesare Alippi
S. Ding
Yuri A. W. Shardt
Tao Peng
Chunhua Yang
AI4CE
33
36
0
16 Nov 2021
Early Myocardial Infarction Detection over Multi-view Echocardiography
Early Myocardial Infarction Detection over Multi-view Echocardiography
A. Degerli
S. Kiranyaz
Tahir Hamid
Rashid Mazhar
Moncef Gabbouj
27
23
0
09 Nov 2021
Multi network InfoMax: A pre-training method involving graph
  convolutional networks
Multi network InfoMax: A pre-training method involving graph convolutional networks
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
AI4CE
14
1
0
01 Nov 2021
Application of 2-D Convolutional Neural Networks for Damage Detection in
  Steel Frame Structures
Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures
Shahin Ghazvineh
G. Nouri
Seyed Hossein Hosseini Lavassani
V. Gharehbaghi
A. Nguyen
11
2
0
29 Oct 2021
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