A novel multiple temporal-spatial convolution network for anode current signals classification
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A novel multiple temporal-spatial convolution network for anode current signals classification
Authors
Keywords
-
Journal
International Journal of Machine Learning and Cybernetics
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-06-25
DOI
10.1007/s13042-022-01595-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Hybrid deep graph convolutional networks
- (2022) Fei Yang et al. International Journal of Machine Learning and Cybernetics
- MGPOOL: multi-granular graph pooling convolutional networks representation learning
- (2021) Zhenghua Xin et al. International Journal of Machine Learning and Cybernetics
- Functional deep echo state network improved by a bi-level optimization approach for multivariate time series classification
- (2021) Zhaoke Huang et al. APPLIED SOFT COMPUTING
- Data-driven short-term voltage stability assessment based on spatial-temporal graph convolutional network
- (2021) Yonghong Luo et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A novel shapelet transformation method for classification of multivariate time series with dynamic discriminative subsequence and application in anode current signals
- (2020) Xiao-xue Wan et al. Journal of Central South University
- A Comprehensive Survey on Graph Neural Networks
- (2020) Zonghan Wu et al. IEEE Transactions on Neural Networks and Learning Systems
- A short-term voltage stability online prediction method based on graph convolutional networks and long short-term memory networks
- (2020) Guoteng Wang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Towards a more efficient and cost-sensitive extreme learning machine: A state-of-the-art review of recent trend
- (2019) Peter Adeniyi Alaba et al. NEUROCOMPUTING
- Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
- (2019) Renlong Hang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Thermal decomposition of rice husk: a comprehensive artificial intelligence predictive model
- (2019) Peter Adeniyi Alaba et al. JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
- A Data and Knowledge Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride Addition based on Augmented Fuzzy Cognitive Maps
- (2019) Weichao Yue et al. Engineering
- T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
- (2019) Ling Zhao et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Fault Detection and Diagnosis In Hall–Héroult Cells Based on Individual Anode Current Measurements Using Dynamic Kernel PCA
- (2018) Yuchen Yao et al. METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE
- Spatio-temporal Graph Deep Neural Network for Short-term Wind Speed Forecasting
- (2018) Mahdi Khodayar et al. IEEE Transactions on Sustainable Energy
- Spatial–Temporal Feature Learning in Smart Grids: A Case Study on Short-Term Voltage Stability Assessment
- (2018) Lipeng Zhu et al. IEEE Transactions on Industrial Informatics
- Geometric Deep Learning: Going beyond Euclidean data
- (2017) Michael M. Bronstein et al. IEEE SIGNAL PROCESSING MAGAZINE
- A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis cell condition
- (2017) Weichao Yue et al. Frontiers of Chemical Science and Engineering
- Discrete Signal Processing on Graphs: Sampling Theory
- (2015) Siheng Chen et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Online Anode Current Signal in Aluminum Reduction Cells: Measurements and Prospects
- (2015) Shuai Yang et al. JOM
- The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
- (2013) D. I. Shuman et al. IEEE SIGNAL PROCESSING MAGAZINE
- Discrete Signal Processing on Graphs
- (2013) Aliaksei Sandryhaila et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Characterization of Individual Anode Current Signals in Aluminum Reduction Cells
- (2013) Cheuk-Yi Cheung et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Spatial temperature profiles in an aluminum reduction cell under different anode current distributions
- (2012) Cheuk-Yi Cheung et al. AICHE JOURNAL
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now