Статті в журналах з теми "Bidirectional LSTM (BiLSTM)"
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Kiperwasser, Eliyahu, and Yoav Goldberg. "Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations." Transactions of the Association for Computational Linguistics 4 (December 2016): 313–27. http://dx.doi.org/10.1162/tacl_a_00101.
Zhai, Yujia, Yan Wan, and Xiaoxiao Wang. "Optimization of Traffic Congestion Management in Smart Cities under Bidirectional Long and Short-Term Memory Model." Journal of Advanced Transportation 2022 (April 1, 2022): 1–8. http://dx.doi.org/10.1155/2022/3305400.
Abduljabbar, Rusul L., Hussein Dia, and Pei-Wei Tsai. "Unidirectional and Bidirectional LSTM Models for Short-Term Traffic Prediction." Journal of Advanced Transportation 2021 (March 26, 2021): 1–16. http://dx.doi.org/10.1155/2021/5589075.
Casabianca, Pietro, Yu Zhang, Miguel Martínez-García, and Jiafu Wan. "Vehicle Destination Prediction Using Bidirectional LSTM with Attention Mechanism." Sensors 21, no. 24 (December 17, 2021): 8443. http://dx.doi.org/10.3390/s21248443.
Liu, Lingfeng, Baodan Bai, Xinrong Chen, and Qin Xia. "Semantic Segmentation of QRS Complex in Single Channel ECG with Bidirectional LSTM Networks." Journal of Medical Imaging and Health Informatics 10, no. 3 (March 1, 2020): 758–62. http://dx.doi.org/10.1166/jmihi.2020.2929.
Gao, Yunqing, Juping Zhu, and Hongbo Gao. "The surrounding vehicles behavior prediction for intelligent vehicle based on Attention-BiLSTM." JUSTC 52 (2022): 1. http://dx.doi.org/10.52396/justc-2021-0115.
Rahman, Md Mostafizer, Yutaka Watanobe, and Keita Nakamura. "A Bidirectional LSTM Language Model for Code Evaluation and Repair." Symmetry 13, no. 2 (February 1, 2021): 247. http://dx.doi.org/10.3390/sym13020247.
Xu, Chuanjie, Feng Yuan, and Shouqiang Chen. "BJBN: BERT-JOIN-BiLSTM Networks for Medical Auxiliary Diagnostic." Journal of Healthcare Engineering 2022 (January 11, 2022): 1–7. http://dx.doi.org/10.1155/2022/3496810.
Zhen, Hao, Dongxiao Niu, Min Yu, Keke Wang, Yi Liang, and Xiaomin Xu. "A Hybrid Deep Learning Model and Comparison for Wind Power Forecasting Considering Temporal-Spatial Feature Extraction." Sustainability 12, no. 22 (November 15, 2020): 9490. http://dx.doi.org/10.3390/su12229490.
Namgung, Juhong, Siwoon Son, and Yang-Sae Moon. "Efficient Deep Learning Models for DGA Domain Detection." Security and Communication Networks 2021 (January 18, 2021): 1–15. http://dx.doi.org/10.1155/2021/8887881.
Yu, Wanting, Hongyi Yu, Ding Wang, Jianping Du, and Mengli Zhang. "SL-BiLSTM: A Signal-Based Bidirectional LSTM Network for Over-the-Horizon Target Localization." Mathematical Problems in Engineering 2021 (July 13, 2021): 1–9. http://dx.doi.org/10.1155/2021/9992120.
Hsu, Fu-Shun, Shang-Ran Huang, Chien-Wen Huang, Chao-Jung Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, et al. "Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database—HF_Lung_V1." PLOS ONE 16, no. 7 (July 1, 2021): e0254134. http://dx.doi.org/10.1371/journal.pone.0254134.
Rhanoui, Maryem, Mounia Mikram, Siham Yousfi, and Soukaina Barzali. "A CNN-BiLSTM Model for Document-Level Sentiment Analysis." Machine Learning and Knowledge Extraction 1, no. 3 (July 25, 2019): 832–47. http://dx.doi.org/10.3390/make1030048.
Hilmawan, Muhammad David. "Deteksi Sarkasme Pada Judul Berita Berbahasa Inggris Menggunakan Algoritme Bidirectional LSTM." Journal of Dinda : Data Science, Information Technology, and Data Analytics 2, no. 1 (February 23, 2022): 46–51. http://dx.doi.org/10.20895/dinda.v2i1.331.
Ye, Jing, Hui Wang, MeiJie Li, and Ning Wang. "IoT-Based Wearable Sensors and Bidirectional LSTM Network for Action Recognition of Aerobics Athletes." Journal of Healthcare Engineering 2021 (July 26, 2021): 1–7. http://dx.doi.org/10.1155/2021/9601420.
Wu, Xiao, and Qingge Ji. "TBRNet: Two-Stream BiLSTM Residual Network for Video Action Recognition." Algorithms 13, no. 7 (July 15, 2020): 169. http://dx.doi.org/10.3390/a13070169.
Wu, Jizhou, Hongmin Zhang, and Xuanhao Gao. "Radar High-Resolution Range Profile Target Recognition by the Dual Parallel Sequence Network Model." International Journal of Antennas and Propagation 2021 (December 20, 2021): 1–9. http://dx.doi.org/10.1155/2021/4699373.
K A, Shirien, Neethu George, and Surekha Mariam Varghese. "Descriptive Answer Script Grading System using CNN-BiLSTM Network." International Journal of Recent Technology and Engineering 9, no. 5 (January 30, 2021): 139–44. http://dx.doi.org/10.35940/ijrte.e5212.019521.
Meng, Yao, and Long Liu. "A Deep Learning Approach for a Source Code Detection Model Using Self-Attention." Complexity 2020 (September 16, 2020): 1–15. http://dx.doi.org/10.1155/2020/5027198.
Zhang, Chen, Qingxu Li, and Xue Cheng. "Text Sentiment Classification Based on Feature Fusion." Revue d'Intelligence Artificielle 34, no. 4 (September 30, 2020): 515–20. http://dx.doi.org/10.18280/ria.340418.
Chaudhari, Minal, Hrutik Mayekar, Abhishek Mishra, and Diksha Bhave. "Performance Analysis of Stock Price Prediction Model using LSTM and BiLSTM." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 810–12. http://dx.doi.org/10.22214/ijraset.2022.41362.
Venkatesh, S., and Dr M. Jeyakarthic. "Adagrad Optimizer with Elephant Herding Optimization based Hyper Parameter Tuned Bidirectional LSTM for Customer Churn Prediction in IoT Enabled Cloud Environment." Webology 17, no. 2 (December 21, 2020): 631–51. http://dx.doi.org/10.14704/web/v17i2/web17057.
Peng, Yi, Qi Han, Fei Su, Xingwei He, and Xiaohu Feng. "Meteorological Satellite Operation Prediction Using a BiLSTM Deep Learning Model." Security and Communication Networks 2021 (June 21, 2021): 1–9. http://dx.doi.org/10.1155/2021/9916461.
Kim, Kyutae, and Jongpil Jeong. "Real-Time Monitoring for Hydraulic States Based on Convolutional Bidirectional LSTM with Attention Mechanism." Sensors 20, no. 24 (December 11, 2020): 7099. http://dx.doi.org/10.3390/s20247099.
Lu, Yuanyao, and Jie Yan. "Automatic Lip Reading Using Convolution Neural Network and Bidirectional Long Short-term Memory." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 01 (May 24, 2019): 2054003. http://dx.doi.org/10.1142/s0218001420540038.
Wang, Haiyao, Jianxuan Wang, Lihui Cao, Yifan Li, Qiuhong Sun, and Jingyang Wang. "A Stock Closing Price Prediction Model Based on CNN-BiSLSTM." Complexity 2021 (September 21, 2021): 1–12. http://dx.doi.org/10.1155/2021/5360828.
Wang, Shaoxiu, Yonghua Zhu, Wenjing Gao, Meng Cao, and Mengyao Li. "Emotion-Semantic-Enhanced Bidirectional LSTM with Multi-Head Attention Mechanism for Microblog Sentiment Analysis." Information 11, no. 5 (May 22, 2020): 280. http://dx.doi.org/10.3390/info11050280.
Chen, Kai, Rabea Jamil Mahfoud, Yonghui Sun, Dongliang Nan, Kaike Wang, Hassan Haes Alhelou, and Pierluigi Siano. "Defect Texts Mining of Secondary Device in Smart Substation with GloVe and Attention-Based Bidirectional LSTM." Energies 13, no. 17 (September 1, 2020): 4522. http://dx.doi.org/10.3390/en13174522.
Chandio, Bilal Ahmed, Ali Shariq Imran, Maheen Bakhtyar, Sher Muhammad Daudpota, and Junaid Baber. "Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu." Applied Sciences 12, no. 7 (April 4, 2022): 3641. http://dx.doi.org/10.3390/app12073641.
Setiawan, Esther Irawati, and Ika Lestari. "Stance Classification Pada Berita Berbahasa Indonesia Berbasis Bidirectional LSTM." Journal of Intelligent System and Computation 3, no. 1 (April 1, 2021): 41–48. http://dx.doi.org/10.52985/insyst.v3i1.148.
Wang, Qinghua, Yuexiao Yu, Hosameldin O. A. Ahmed, Mohamed Darwish, and Asoke K. Nandi. "Open-Circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) Method." Sensors 21, no. 12 (June 17, 2021): 4159. http://dx.doi.org/10.3390/s21124159.
Zhu, Chenhao, Sheng Cai, Yifan Yang, Wei Xu, Honghai Shen, and Hairong Chu. "A Combined Method for MEMS Gyroscope Error Compensation Using a Long Short-Term Memory Network and Kalman Filter in Random Vibration Environments." Sensors 21, no. 4 (February 8, 2021): 1181. http://dx.doi.org/10.3390/s21041181.
Elfaik, Hanane, and El Habib Nfaoui. "Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Arabic Text." Journal of Intelligent Systems 30, no. 1 (December 31, 2020): 395–412. http://dx.doi.org/10.1515/jisys-2020-0021.
Yang, Biao, Yinshuang Wang, and Yuedong Zhan. "Lithium Battery State-of-Charge Estimation Based on a Bayesian Optimization Bidirectional Long Short-Term Memory Neural Network." Energies 15, no. 13 (June 25, 2022): 4670. http://dx.doi.org/10.3390/en15134670.
Abduallah, Yasser, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, and Haimin Wang. "Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network." Astrophysical Journal Supplement Series 260, no. 1 (May 1, 2022): 16. http://dx.doi.org/10.3847/1538-4365/ac5f56.
Choi, Sang, and Brian Kim. "Applying PCA to Deep Learning Forecasting Models for Predicting PM2.5." Sustainability 13, no. 7 (March 26, 2021): 3726. http://dx.doi.org/10.3390/su13073726.
Lu, Huimin, Rui Yang, Zhenrong Deng, Yonglin Zhang, Guangwei Gao, and Rushi Lan. "Chinese Image Captioning via Fuzzy Attention-based DenseNet-BiLSTM." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 1s (March 31, 2021): 1–18. http://dx.doi.org/10.1145/3422668.
Li, Dezhi, Dongfang Yang, Liwei Li, Licheng Wang, and Kai Wang. "Electrochemical Impedance Spectroscopy Based on the State of Health Estimation for Lithium-Ion Batteries." Energies 15, no. 18 (September 13, 2022): 6665. http://dx.doi.org/10.3390/en15186665.
Chen, Che-Wen, Shih-Pang Tseng, Ta-Wen Kuan, and Jhing-Fa Wang. "Outpatient Text Classification Using Attention-Based Bidirectional LSTM for Robot-Assisted Servicing in Hospital." Information 11, no. 2 (February 16, 2020): 106. http://dx.doi.org/10.3390/info11020106.
Zhang, Jingren, Fang’ai Liu, Weizhi Xu, and Hui Yu. "Feature Fusion Text Classification Model Combining CNN and BiGRU with Multi-Attention Mechanism." Future Internet 11, no. 11 (November 12, 2019): 237. http://dx.doi.org/10.3390/fi11110237.
Pratiwi, Riszki Wijayatun, Yunita Sari, and Yohanes Suyanto. "Attention-Based BiLSTM for Negation Handling in Sentimen Analysis." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 14, no. 4 (October 31, 2020): 397. http://dx.doi.org/10.22146/ijccs.60733.
Chaweewanchon, Apichat, and Rujira Chaysiri. "Markowitz Mean-Variance Portfolio Optimization with Predictive Stock Selection Using Machine Learning." International Journal of Financial Studies 10, no. 3 (August 8, 2022): 64. http://dx.doi.org/10.3390/ijfs10030064.
Adil, Mohd, Jei-Zheng Wu, Ripon K. Chakrabortty, Ahmad Alahmadi, Mohd Faizan Ansari, and Michael J. Ryan. "Attention-Based STL-BiLSTM Network to Forecast Tourist Arrival." Processes 9, no. 10 (September 30, 2021): 1759. http://dx.doi.org/10.3390/pr9101759.
Li, Yuxuan, Chunjie Yang, and Youxian Sun. "Sintering Quality Prediction Model Based on Semi-Supervised Dynamic Time Feature Extraction Framework." Sensors 22, no. 15 (August 5, 2022): 5861. http://dx.doi.org/10.3390/s22155861.
Pang, Geng, and Duyan Geng. "Research on Heartbeat Detection Method of Ballistocardiogram Based on Bidirectional Long Short-term Memory Network." WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE 19 (June 28, 2022): 151–57. http://dx.doi.org/10.37394/23208.2022.19.16.
Essai Ali, Mohamed Hassan, and Ibrahim B. M. Taha. "Channel state information estimation for 5G wireless communication systems: recurrent neural networks approach." PeerJ Computer Science 7 (August 26, 2021): e682. http://dx.doi.org/10.7717/peerj-cs.682.
Adytia, Didit, Deni Saepudin, Sri Redjeki Pudjaprasetya, Semeidi Husrin, and Ardhasena Sopaheluwakan. "A Deep Learning Approach for Wave Forecasting Based on a Spatially Correlated Wind Feature, with a Case Study in the Java Sea, Indonesia." Fluids 7, no. 1 (January 17, 2022): 39. http://dx.doi.org/10.3390/fluids7010039.
Visweswaran, Shyam, Jason B. Colditz, Patrick O’Halloran, Na-Rae Han, Sanya B. Taneja, Joel Welling, Kar-Hai Chu, Jaime E. Sidani, and Brian A. Primack. "Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study." Journal of Medical Internet Research 22, no. 8 (August 12, 2020): e17478. http://dx.doi.org/10.2196/17478.
Chen, Xie, Yuan, Huang, and Li. "Research on a Real-Time Monitoring Method for the Wear State of a Tool Based on a Convolutional Bidirectional LSTM Model." Symmetry 11, no. 10 (October 2, 2019): 1233. http://dx.doi.org/10.3390/sym11101233.
Contractor, Danish, Barun Patra, Mausam, and Parag Singla. "Constrained BERT BiLSTM CRF for understanding multi-sentence entity-seeking questions." Natural Language Engineering 27, no. 1 (February 13, 2020): 65–87. http://dx.doi.org/10.1017/s1351324920000017.