Access the full text.
Sign up today, get DeepDyve free for 14 days.
Da Zhang, M. Kabuka (2017)
Combining Weather Condition Data to Predict Traffic Flow: A GRU Based Deep Learning Approach2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
Zachary Lipton, David Kale, R. Wetzel (2015)
Phenotyping of Clinical Time Series with LSTM Recurrent Neural NetworksArXiv, abs/1510.07641
Jin-Gyeom Kim, Bowon Lee (2019)
Appliance Classification by Power Signal Analysis Based on Multi-Feature Combination Multi-Layer LSTMEnergies
Fei Wang, Yili Yu, Zhanyao Zhang, Jie Li, Z. Zhen, Kangping Li (2018)
Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance ForecastingApplied Sciences
Xingjian Shi, Zhourong Chen, Hao Wang, D. Yeung, W. Wong, W. Woo (2015)
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
P. Lingras, Satish Sharma, M. Zhong (2002)
Prediction of Recreational Travel Using Genetically Designed Regression and Time-Delay Neural Network ModelsTransportation Research Record, 1805
Özlem DİNLER, N. Aydin (2020)
An Optimal Feature Parameter Set Based on Gated Recurrent Unit Recurrent Neural Networks for Speech Segment DetectionApplied Sciences
S. Bouktif, A. Fiaz, Ali Ouni, M. Serhani (2020)
Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load ForecastingEnergies
Thomas Fischer, C. Krauss (2017)
Deep learning with long short-term memory networks for financial market predictionsEur. J. Oper. Res., 270
Huiting Zheng, Jiabin Yuan, Long Chen (2017)
Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance EvaluationEnergies, 10
Yongxue Tian, Li Pan (2015)
Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)
Abhyuday Jagannatha, Hong Yu (2016)
Structured prediction models for RNN based sequence labeling in clinical textProceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing, 2016
Noel Quiming, Nerissa Deñola, Yoshihiro Saito, K. Jinno (2008)
Multiple linear regression and artificial neural network retention prediction models for ginsenosides on a polyamine-bonded stationary phase in hydrophilic interaction chromatography.Journal of separation science, 31 9
B. Park, C. Messer, T. Urbanik (1998)
Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural NetworkTransportation Research Record, 1651
Youru Li, Zhenfeng Zhu, Deqiang Kong, Hua Han, Yao Zhao (2018)
EA-LSTM: Evolutionary Attention-based LSTM for Time Series PredictionKnowl. Based Syst., 181
Tian-cai Zhang, Shuang Song, Shugang Li, Li Ma, Shaobo Pan, Liyun Han (2019)
Research on Gas Concentration Prediction Models Based on LSTM Multidimensional Time SeriesEnergies
David Nelson, A. Pereira, Renato Oliveira (2017)
Stock market's price movement prediction with LSTM neural networks2017 International Joint Conference on Neural Networks (IJCNN)
Dongjoo Park, L. Rilett (1999)
Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural NetworkComputer‐Aided Civil and Infrastructure Engineering, 14
Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, Honggang Zhang (2018)
Deep Learning with Long Short-Term Memory for Time Series PredictionIEEE Communications Magazine, 57
Özal Yıldırım (2018)
A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classificationComputers in biology and medicine, 96
Chujie Tian, Jian Ma, Chunhong Zhang, Panpan Zhan (2018)
A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural NetworkEnergies
Chongyu Guo, Jian Li (2013)
Development and future of wavelet analysis2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
S. Chauhan, L. Vig (2015)
Anomaly detection in ECG time signals via deep long short-term memory networks2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
M.N. Hasan (2019)
Traffic wave electricity theft detection in smart grid systems: A CNN?LSTM based approach, 12
Zhiyong Cui, Yinhai Wang (2017)
Deep Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction
Md. Hasan, Rafia Toma, A. Nahid, M. Islam, Jong-Myon Kim (2019)
Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based ApproachEnergies
Z. Gu, Gang Yan, Jun Zhang, Yuanqing Li, Z. Yu (2018)
Automatic Epilepsy Detection Based on Wavelets Constructed From DataIEEE Access, 6
Yue Lu, Junhao Zhou, Hongning Dai, Hao Wang, Hong Xiao (2019)
Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTMIEEE Access, 7
R. Vinayakumar, K. Soman, P. Poornachandran (2017)
Applying convolutional neural network for network intrusion detection2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
A. Azzouni, G. Pujolle (2017)
A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix PredictionArXiv, abs/1705.05690
Michael Jordan, T. Mitchell (2015)
Machine learning: Trends, perspectives, and prospectsScience, 349
Houssem Gasmi, Jannik Laval, A. Bouras (2019)
Information Extraction of Cybersecurity Concepts: An LSTM ApproachApplied Sciences
Xinying Wang, Min Han (2014)
Online sequential extreme learning machine with kernels for nonstationary time series predictionNeurocomputing, 145
S. Ho, M. Xie, T. Goh (2002)
A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction, 42
Wang Xin, Wu Ji, Liu Chao, Hai Yang, Du Yanli, Wensheng Niu (2018)
Exploring LSTM based recurrent neural network for failure time series predictionJournal of Beijing University of Aeronautics and Astronautics, 44
Hailong Hu, Zhong Li, A. Elofsson, Shangxin Xie (2019)
A Bi-LSTM Based Ensemble Algorithm for Prediction of Protein Secondary StructureApplied Sciences
Mahmoud Jam, H. Sadjedi (2018)
Design and Evaluation of Optimal Orthogonal Wavelet With the Least Length of Wavelet Filters Using Spectral MatchingIEEE Access, 6
Zhiwei Shi, Min Han (2007)
Support Vector Echo-State Machine for Chaotic Time-Series PredictionIEEE Transactions on Neural Networks, 18
IET Intelligent Transport Systems – Wiley
Published: Jan 1, 2021
You can share this free article with as many people as you like with the url below! We hope you enjoy this feature!
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.