Статті в журналах з теми "Deep Recurrent Neural Network (DRNN)"
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Wei, Chih-Chiang, and Ju-Yueh Cheng. "Nearshore two-step typhoon wind-wave prediction using deep recurrent neural networks." Journal of Hydroinformatics 22, no. 2 (October 24, 2019): 346–67. http://dx.doi.org/10.2166/hydro.2019.084.
Sharma, Sameer Dev, Sonal Sharma, Rajesh Singh, Anita Gehlot, Neeraj Priyadarshi, and Bhekisipho Twala. "Deep Recurrent Neural Network Assisted Stress Detection System for Working Professionals." Applied Sciences 12, no. 17 (August 30, 2022): 8678. http://dx.doi.org/10.3390/app12178678.
Ye, Kai-Qiang, Hong Gao, Ping Xiao, and Pei-Cheng Shi. "DRNN-based shift decision for automatic transmission." Advances in Mechanical Engineering 12, no. 11 (November 2020): 168781402097529. http://dx.doi.org/10.1177/1687814020975291.
Fan, J., Q. Li, J. Hou, X. Feng, H. Karimian, and S. Lin. "A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W2 (October 19, 2017): 15–22. http://dx.doi.org/10.5194/isprs-annals-iv-4-w2-15-2017.
Sun, Xinyao, Anup Basu, and Irene Cheng. "Multi-Sensor Motion Fusion Using Deep Neural Network Learning." International Journal of Multimedia Data Engineering and Management 8, no. 4 (October 2017): 1–18. http://dx.doi.org/10.4018/ijmdem.2017100101.
Popoola, Segun I., Bamidele Adebisi, Ruth Ande, Mohammad Hammoudeh, Kelvin Anoh, and Aderemi A. Atayero. "SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks." Sensors 21, no. 9 (April 24, 2021): 2985. http://dx.doi.org/10.3390/s21092985.
Kim, Beom-Hun, and Jae-Young Pyun. "ECG Identification For Personal Authentication Using LSTM-Based Deep Recurrent Neural Networks." Sensors 20, no. 11 (May 29, 2020): 3069. http://dx.doi.org/10.3390/s20113069.
Sharma, Sameer Dev, Sonal Sharma, Rajesh Singh, Anita Gehlot, Neeraj Priyadarshi, and Bhekisipho Twala. "Stress Detection System for Working Pregnant Women Using an Improved Deep Recurrent Neural Network." Electronics 11, no. 18 (September 9, 2022): 2862. http://dx.doi.org/10.3390/electronics11182862.
Wei, Chih-Chiang. "Development of Stacked Long Short-Term Memory Neural Networks with Numerical Solutions for Wind Velocity Predictions." Advances in Meteorology 2020 (July 23, 2020): 1–18. http://dx.doi.org/10.1155/2020/5462040.
Anezi, Faisal Yousif Al. "Arabic Hate Speech Detection Using Deep Recurrent Neural Networks." Applied Sciences 12, no. 12 (June 13, 2022): 6010. http://dx.doi.org/10.3390/app12126010.
Wang, Jinghua, Jin Cheng, Fang Liu, Lei Yan, and Taijie Tang. "Research on the air quality prediction model of Wuhai mining area based on deep learning." E3S Web of Conferences 300 (2021): 02005. http://dx.doi.org/10.1051/e3sconf/202130002005.
Puchkov, Andrey Yu, Maksim I. Dli, and Ekaterina I. Lobaneva. "NEURO-FUZZY CLASSIFIER OF STATE OF THE TECHNOLOGICAL PROCESS." Bulletin of the Saint Petersburg State Institute of Technology (Technical University) 57 (2021): 105–10. http://dx.doi.org/10.36807/1998-9849-2020-57-83-105-110.
Lee, Geon Woo, and Hong Kook Kim. "Multi-Task Learning U-Net for Single-Channel Speech Enhancement and Mask-Based Voice Activity Detection." Applied Sciences 10, no. 9 (May 6, 2020): 3230. http://dx.doi.org/10.3390/app10093230.
AYAYDIN, Anıl, and M. Ali AKCAYOL. "Derin Öğrenme Tabanlı Havacılık Uçuş Verilerinde Gecikme Durumunun Tahmin Edilmesi." Bilişim Teknolojileri Dergisi 15, no. 3 (July 31, 2022): 239–49. http://dx.doi.org/10.17671/gazibtd.1060646.
Yaprakdal, Fatma, M. Berkay Yılmaz, Mustafa Baysal, and Amjad Anvari-Moghaddam. "A Deep Neural Network-Assisted Approach to Enhance Short-Term Optimal Operational Scheduling of a Microgrid." Sustainability 12, no. 4 (February 22, 2020): 1653. http://dx.doi.org/10.3390/su12041653.
Yang, Bin, Wei Zhang, and Haifeng Wang. "Stock Market Forecasting Using Restricted Gene Expression Programming." Computational Intelligence and Neuroscience 2019 (February 5, 2019): 1–14. http://dx.doi.org/10.1155/2019/7198962.
Deva Hema, D., J. Tharun, G. Arun Dev, and N. Sateesh. "A Robust False Spam Review Detection Using Deep Long Short-Term Memory (LSTM) Based Recurrent Neural Network." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3421–26. http://dx.doi.org/10.1166/jctn.2020.9198.
Kim, Hyunsoo. "Feasibility of DRNN for Identifying Built Environment Barriers to Walkability Using Wearable Sensor Data from Pedestrians’ Gait." Applied Sciences 12, no. 9 (April 26, 2022): 4384. http://dx.doi.org/10.3390/app12094384.
Kim, Hyunsoo. "Feasibility of DRNN for Identifying Built Environment Barriers to Walkability Using Wearable Sensor Data from Pedestrians’ Gait." Applied Sciences 12, no. 9 (April 26, 2022): 4384. http://dx.doi.org/10.3390/app12094384.
Gunasekaran, K., R. Pitchai, Gogineni Krishna Chaitanya, D. Selvaraj, S. Annie Sheryl, Hesham S. Almoallim, Sulaiman Ali Alharbi, S. S. Raghavan, and Belachew Girma Tesemma. "A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs." BioMed Research International 2022 (June 7, 2022): 1–15. http://dx.doi.org/10.1155/2022/3163496.
Yu, Danning, Kun Ni, and Yunlong Liu. "Deep Q-Network with Predictive State Models in Partially Observable Domains." Mathematical Problems in Engineering 2020 (July 16, 2020): 1–9. http://dx.doi.org/10.1155/2020/1596385.
Liu, FeiPeng, and Wei Zhang. "Basketball Motion Posture Recognition Based on Recurrent Deep Learning Model." Mathematical Problems in Engineering 2022 (May 16, 2022): 1–7. http://dx.doi.org/10.1155/2022/8314777.
Yan, Jianzhuo, Jiaxue Liu, Yongchuan Yu, and Hongxia Xu. "Water Quality Prediction in the Luan River Based on 1-DRCNN and BiGRU Hybrid Neural Network Model." Water 13, no. 9 (April 30, 2021): 1273. http://dx.doi.org/10.3390/w13091273.
Hu, Huangshui, Tingting Wang, Hongzhi Wang, and Chuhang Wang. "Q-learning optimized diagonal recurrent neural network control strategy for brushless direct current motors." Advances in Mechanical Engineering 12, no. 9 (September 2020): 168781402095822. http://dx.doi.org/10.1177/1687814020958221.
CUI, YUDING, and CAIHUA XIONG. "DYNAMIC RECURRENT NEURAL NETWORK BASED CLASSIFICATION SCHEME FOR MYOELECTRIC CONTROL OF UPPER LIMB REHABILITATION ROBOT." Journal of Mechanics in Medicine and Biology 14, no. 06 (December 2014): 1440017. http://dx.doi.org/10.1142/s021951941440017x.
Lv, Ye, Jing Ma, De Cun He, and Xiang Gao. "Diagonal Recurrent Neural Network-Based Electro-Hydraulic Servo System Control." Applied Mechanics and Materials 336-338 (July 2013): 581–84. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.581.
Elkenawy, Ahmed, Ahmad M. El-Nagar, Mohammad El-Bardini, and Nabila M. El-Rabaie. "Diagonal recurrent neural network observer-based adaptive control for unknown nonlinear systems." Transactions of the Institute of Measurement and Control 42, no. 15 (June 16, 2020): 2833–56. http://dx.doi.org/10.1177/0142331220921259.
Xiao, Nianhao, Yuanchen Zou, Yaguang Yin, Peishun Liu, and Ruichun Tang. "DRNN: Deep Residual Neural Network for Heart Disease Prediction." Journal of Physics: Conference Series 1682 (November 2020): 012065. http://dx.doi.org/10.1088/1742-6596/1682/1/012065.
Fan, Ying Ping, and Hui Da Duan. "Oil-Filled Power Transformers Fault Diagnosis Based on Fuzzy-DRNN." Applied Mechanics and Materials 448-453 (October 2013): 2520–23. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.2520.
AUSSEM, ALEX, FIONN MURTAGH, and MARC SARAZIN. "DYNAMICAL RECURRENT NEURAL NETWORKS — TOWARDS ENVIRONMENTAL TIME SERIES PREDICTION." International Journal of Neural Systems 06, no. 02 (June 1995): 145–70. http://dx.doi.org/10.1142/s0129065795000123.
Yon, Jung-Heum, Yong-Taek Kim, Jae-Yong Seo, and Hong-Tae Jeon. "Dynamic Multidimensional Wavelet Neural Network and Its Application." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 5 (September 20, 2000): 336–40. http://dx.doi.org/10.20965/jaciii.2000.p0336.
Jafari, Amir Hossein, Rached Dhaouadi, and Ali Jhemi. "Nonlinear Friction Estimation in Elastic Drive Systems Using a Dynamic Neural Network-Based Observer." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 4 (July 20, 2013): 637–46. http://dx.doi.org/10.20965/jaciii.2013.p0637.
Shen, Dong Kai, Jing Jing Wang, and Zheng Hua Liu. "Robust BackStepping Control Based DRNN for Flight Simulator." Advanced Materials Research 139-141 (October 2010): 1708–13. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1708.
Oyewola, David Opeoluwa, Emmanuel Gbenga Dada, Sanjay Misra, and Robertas Damaševičius. "Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing." PeerJ Computer Science 7 (March 2, 2021): e352. http://dx.doi.org/10.7717/peerj-cs.352.
Duan, Hui Da, and Qiao Song Li. "Power Transformers Fault Diagnosis Based on DRNN." Advanced Materials Research 960-961 (June 2014): 700–703. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.700.
Xu, Zhi Cheng, Bin Zhu, and Qing Bin Jiang. "Application of Neural Network for Nonlinear Predictive Control." Advanced Materials Research 562-564 (August 2012): 1964–67. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1964.
Chen, Mengwei, and Guichen Zhang. "EKF-DRNN autopilot for VLCC heading hybrid control." Transactions of the Institute of Measurement and Control 43, no. 13 (June 15, 2021): 2983–99. http://dx.doi.org/10.1177/01423312211021750.
Jiang, Yu Lian, Jian Chang Liu, and Shu Bin Tan. "Application of Q Learning-Based Self-Tuning PID with DRNN in the Strip Flatness and Gauge System." Applied Mechanics and Materials 494-495 (February 2014): 1377–80. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1377.
Wei, Zhi Qiang, and Dan Jin. "Position Tracking System of Filling Machine Based on Compound Control Strategy." Applied Mechanics and Materials 380-384 (August 2013): 321–24. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.321.
Razaque, Abdul, Bandar Alotaibi, Munif Alotaibi, Shujaat Hussain, Aziz Alotaibi, and Vladimir Jotsov. "Clickbait Detection Using Deep Recurrent Neural Network." Applied Sciences 12, no. 1 (January 5, 2022): 504. http://dx.doi.org/10.3390/app12010504.
Song, Y. M., C. Zhang, and Y. Q. Yu. "Neural Networks Based Active Vibration Control of Flexible Linkage Mechanisms." Journal of Mechanical Design 123, no. 2 (May 1, 2000): 266–71. http://dx.doi.org/10.1115/1.1348269.
Thomas, Merin, and Latha C.A. "Sentimental analysis using recurrent neural network." International Journal of Engineering & Technology 7, no. 2.27 (August 2, 2018): 88. http://dx.doi.org/10.14419/ijet.v7i2.27.12635.
Ahmad, Sk Syeed. "DNA Fragment Assembly using Deep Recurrent Neural Network." International Journal for Research in Applied Science and Engineering Technology 8, no. 5 (May 31, 2020): 1142–49. http://dx.doi.org/10.22214/ijraset.2020.5181.
Shang, Kailin, Ziyi Chen, Zhixin Liu, Lihong Song, Wenfeng Zheng, Bo Yang, Shan Liu, and Lirong Yin. "Haze Prediction Model Using Deep Recurrent Neural Network." Atmosphere 12, no. 12 (December 6, 2021): 1625. http://dx.doi.org/10.3390/atmos12121625.
Dube, Lucky, and Ehab H. E. Bayoumi. "DRNN Robust DTC for Induction Motor Drive Systems Using FSTPI." Journal Européen des Systèmes Automatisés 54, no. 4 (August 31, 2021): 539–47. http://dx.doi.org/10.18280/jesa.540403.
Ma, Qianli, Zhenxi Lin, Enhuan Chen, and Garrison Cottrell. "Temporal Pyramid Recurrent Neural Network." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 5061–68. http://dx.doi.org/10.1609/aaai.v34i04.5947.
Gallicchio, Claudio, and Alessio Micheli. "Fast and Deep Graph Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3898–905. http://dx.doi.org/10.1609/aaai.v34i04.5803.
Chowanda, Andry, and Alan Darmasaputra Chowanda. "Recurrent Neural Network to Deep Learn Conversation in Indonesian." Procedia Computer Science 116 (2017): 579–86. http://dx.doi.org/10.1016/j.procs.2017.10.078.
Rajesh, Sangeetha, and N. J. Nalini. "Musical instrument emotion recognition using deep recurrent neural network." Procedia Computer Science 167 (2020): 16–25. http://dx.doi.org/10.1016/j.procs.2020.03.178.
Almiani, Muder, Alia AbuGhazleh, Amer Al-Rahayfeh, Saleh Atiewi, and Abdul Razaque. "Deep recurrent neural network for IoT intrusion detection system." Simulation Modelling Practice and Theory 101 (May 2020): 102031. http://dx.doi.org/10.1016/j.simpat.2019.102031.