Cargando…

A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO(2) Welding

At present, realizing high-quality automatic welding through online monitoring is a research focus in engineering applications. In this paper, a CNN–LSTM algorithm is proposed, which combines the advantages of convolutional neural networks (CNNs) and long short-term memory networks (LSTMs). The CNN–...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Tianyuan, Bao, Jinsong, Wang, Junliang, Zhang, Yiming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308811/ https://www.ncbi.nlm.nih.gov/pubmed/30544744 http://dx.doi.org/10.3390/s18124369

Ejemplares similares

Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM
por: Zheng, Jinsong, et al.
Publicado: (2022)

EEG-based emotion recognition using hybrid CNN and LSTM classification
por: Chakravarthi, Bhuvaneshwari, et al.
Publicado: (2022)

Facial expression recognition in videos using hybrid CNN & ConvLSTM
por: Singh, Rajesh, et al.
Publicado: (2023)

Laser Welding Penetration Monitoring Based on Time-Frequency Characterization of Acoustic Emission and CNN-LSTM Hybrid Network
por: Luo, Zhongyi, et al.
Publicado: (2023)

Contact Pattern Recognition of a Flexible Tactile Sensor Based on the CNN-LSTM Fusion Algorithm
por: Song, Yang, et al.
Publicado: (2022)

Application Research on Optimization Algorithm of sEMG Gesture Recognition Based on Light CNN+LSTM Model
por: Bai, Dianchun, et al.
Publicado: (2021)

Attention Based CNN-ConvLSTM for Pedestrian Attribute Recognition
por: Li, Yang, et al.
Publicado: (2020)

Automated recognition of epilepsy from EEG signals using a combining space–time algorithm of CNN-LSTM
por: Wang, Xiashuang, et al.
Publicado: (2023)

Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals
por: Kang, Mingu, et al.
Publicado: (2021)

Language Processing Model Construction and Simulation Based on Hybrid CNN and LSTM
por: Zhang, Shujing
Publicado: (2021)

A hybrid CNN-LSTM model for pre-miRNA classification
por: Tasdelen, Abdulkadir, et al.
Publicado: (2021)

Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System
por: Zhou, Haiyang, et al.
Publicado: (2023)

CNN-LSTM Facial Expression Recognition Method Fused with Two-Layer Attention Mechanism
por: Ming, Ye, et al.
Publicado: (2022)

Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
por: Mohammed Alsumaidaee, Yaseen Ahmed, et al.
Publicado: (2023)

Retracted: Language Processing Model Construction and Simulation Based on Hybrid CNN and LSTM
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease
por: Lilhore, Umesh Kumar, et al.
Publicado: (2023)

Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF
por: Tang, Buzhou, et al.
Publicado: (2019)

CL-ACP: a parallel combination of CNN and LSTM anticancer peptide recognition model
por: Wang, Huiqing, et al.
Publicado: (2021)

Personality-Based Emotion Recognition Using EEG Signals with a CNN-LSTM Network
por: Hosseini, Mohammad Saleh Khajeh, et al.
Publicado: (2023)

CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior Classification Network Based on the Fusion of CNN and Bi-LSTM
por: Gao, Guohong, et al.
Publicado: (2023)

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM
por: Mughal, Nabeeha Ehsan, et al.
Publicado: (2022)

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model
por: Borré, Andressa, et al.
Publicado: (2023)

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor
Publicado: (2022)

Data glove-based gesture recognition using CNN-BiLSTM model with attention mechanism
por: Wu, Jiawei, et al.
Publicado: (2023)

Visual recognition and prediction analysis of China’s real estate index and stock trend based on CNN-LSTM algorithm optimized by neural networks
por: Chen, Ningyan
Publicado: (2023)

CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany
por: Aksan, Fachrizal, et al.
Publicado: (2023)

Fault Diagnosis of Rolling Bearing Based on HPSO Algorithm Optimized CNN-LSTM Neural Network
por: Tian, He, et al.
Publicado: (2023)

CNN-LSTM Hybrid Model for Kinematic Feature Analysis and Parabolic Radian Prediction in Basketball Videos
por: Rong, Ji, et al.
Publicado: (2021)

Utilizing CNN-LSTM techniques for the enhancement of medical systems
por: Rayan, Alanazi, et al.
Publicado: (2023)

Enhancing PM(2.5) Prediction Using NARX-Based Combined CNN and LSTM Hybrid Model
por: Moursi, Ahmed Samy AbdElAziz, et al.
Publicado: (2022)

A Novel Gait Phase Recognition Method Based on DPF-LSTM-CNN Using Wearable Inertial Sensors
por: Liu, Kun, et al.
Publicado: (2023)

A One-Dimensional CNN-LSTM Model for Epileptic Seizure Recognition Using EEG Signal Analysis
por: Xu, Gaowei, et al.
Publicado: (2020)

Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
por: Farid, Ahmed Bahaa, et al.
Publicado: (2021)

Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment—Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method
por: Feng, Xiang, et al.
Publicado: (2020)

A Novel CNN-based Bi-LSTM parallel model with attention mechanism for human activity recognition with noisy data
por: Yin, Xiaochun, et al.
Publicado: (2022)

Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function
por: Petmezas, Georgios, et al.
Publicado: (2022)

Nonlinear Dynamic Soft Sensor Development with a Supervised Hybrid CNN-LSTM Network for Industrial Processes
por: Zheng, Jiaqi, et al.
Publicado: (2022)

Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model
por: Hwang, In-Chang, et al.
Publicado: (2022)

Accurate prediction of electricity consumption using a hybrid CNN-LSTM model based on multivariable data
por: Chung, Jaewon, et al.
Publicado: (2022)

Retracted: CNN-LSTM Hybrid Model for Kinematic Feature Analysis and Parabolic Radian Prediction in Basketball Videos
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_r11psucf4eph62g2e5gjjf5bm3