Статті в журналах з теми "Recurrent neural networks BLSTM"
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Guo, Yanbu, Bingyi Wang, Weihua Li, and Bei Yang. "Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks." Journal of Bioinformatics and Computational Biology 16, no. 05 (October 2018): 1850021. http://dx.doi.org/10.1142/s021972001850021x.
Zhong, Cheng, Zhonglian Jiang, Xiumin Chu, and Lei Liu. "Inland Ship Trajectory Restoration by Recurrent Neural Network." Journal of Navigation 72, no. 06 (May 17, 2019): 1359–77. http://dx.doi.org/10.1017/s0373463319000316.
KADARI, REKIA, YU ZHANG, WEINAN ZHANG, and TING LIU. "CCG supertagging with bidirectional long short-term memory networks." Natural Language Engineering 24, no. 1 (September 4, 2017): 77–90. http://dx.doi.org/10.1017/s1351324917000250.
Shchetinin, E. Yu. "EMOTIONS RECOGNITION IN HUMAN SPEECH USING DEEP NEURAL NETWORKS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 199 (January 2021): 44–51. http://dx.doi.org/10.14489/vkit.2021.01.pp.044-051.
Dutta, Aparajita, Kusum Kumari Singh, and Ashish Anand. "SpliceViNCI: Visualizing the splicing of non-canonical introns through recurrent neural networks." Journal of Bioinformatics and Computational Biology 19, no. 04 (June 4, 2021): 2150014. http://dx.doi.org/10.1142/s0219720021500141.
Zhang, Ansi, Honglei Wang, Shaobo Li, Yuxin Cui, Zhonghao Liu, Guanci Yang, and Jianjun Hu. "Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation." Applied Sciences 8, no. 12 (November 28, 2018): 2416. http://dx.doi.org/10.3390/app8122416.
Li, Yue, Xutao Wang, and Pengjian Xu. "Chinese Text Classification Model Based on Deep Learning." Future Internet 10, no. 11 (November 20, 2018): 113. http://dx.doi.org/10.3390/fi10110113.
Xuan, Wenjing, Ning Liu, Neng Huang, Yaohang Li, and Jianxin Wang. "CLPred: a sequence-based protein crystallization predictor using BLSTM neural network." Bioinformatics 36, Supplement_2 (December 2020): i709—i717. http://dx.doi.org/10.1093/bioinformatics/btaa791.
Brocki, Łukasz, and Krzysztof Marasek. "Deep Belief Neural Networks and Bidirectional Long-Short Term Memory Hybrid for Speech Recognition." Archives of Acoustics 40, no. 2 (June 1, 2015): 191–95. http://dx.doi.org/10.1515/aoa-2015-0021.
Varshney, Abhishek, Samit Kumar Ghosh, Sibasankar Padhy, Rajesh Kumar Tripathy, and U. Rajendra Acharya. "Automated Classification of Mental Arithmetic Tasks Using Recurrent Neural Network and Entropy Features Obtained from Multi-Channel EEG Signals." Electronics 10, no. 9 (May 2, 2021): 1079. http://dx.doi.org/10.3390/electronics10091079.
Mahmoud, Adnen, and Mounir Zrigui. "BLSTM-API: Bi-LSTM Recurrent Neural Network-Based Approach for Arabic Paraphrase Identification." Arabian Journal for Science and Engineering 46, no. 4 (February 24, 2021): 4163–74. http://dx.doi.org/10.1007/s13369-020-05320-w.
Long, Haixia, Zhao Sun, Manzhi Li, Hai Yan Fu, and Ming Cai Lin. "Predicting Protein Phosphorylation Sites Based on Deep Learning." Current Bioinformatics 15, no. 4 (June 11, 2020): 300–308. http://dx.doi.org/10.2174/1574893614666190902154332.
Gao, Shenghan, Changyan Zheng, Yicong Zhao, Ziyue Wu, Jiao Li, and Xian Huang. "Comparison of enhancement techniques based on neural networks for attenuated voice signal captured by flexible vibration sensors on throats." Nanotechnology and Precision Engineering 5, no. 1 (March 1, 2022): 013001. http://dx.doi.org/10.1063/10.0009187.
Zulqarnain, Muhammad, Rozaida Ghazali, Yana Mazwin Mohmad Hassim, and Muhammad Rehan. "Text classification based on gated recurrent unit combines with support vector machine." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (August 1, 2020): 3734. http://dx.doi.org/10.11591/ijece.v10i4.pp3734-3742.
Ziafat, Nishmia, Hafiz Farooq Ahmad, Iram Fatima, Muhammad Zia, Abdulaziz Alhumam, and Kashif Rajpoot. "Correct Pronunciation Detection of the Arabic Alphabet Using Deep Learning." Applied Sciences 11, no. 6 (March 11, 2021): 2508. http://dx.doi.org/10.3390/app11062508.
Terra Vieira, Samuel, Renata Lopes Rosa, Demóstenes Zegarra Rodríguez, Miguel Arjona Ramírez, Muhammad Saadi, and Lunchakorn Wuttisittikulkij. "Q-Meter: Quality Monitoring System for Telecommunication Services Based on Sentiment Analysis Using Deep Learning." Sensors 21, no. 5 (March 8, 2021): 1880. http://dx.doi.org/10.3390/s21051880.
Chhetri, Manoj, Sudhanshu Kumar, Partha Pratim Roy, and Byung-Gyu Kim. "Deep BLSTM-GRU Model for Monthly Rainfall Prediction: A Case Study of Simtokha, Bhutan." Remote Sensing 12, no. 19 (September 28, 2020): 3174. http://dx.doi.org/10.3390/rs12193174.
Kumar, S., M. Anand Kumar, and K. P. Soman. "Deep Learning Based Part-of-Speech Tagging for Malayalam Twitter Data (Special Issue: Deep Learning Techniques for Natural Language Processing)." Journal of Intelligent Systems 28, no. 3 (July 26, 2019): 423–35. http://dx.doi.org/10.1515/jisys-2017-0520.
Hou, Hongwei, Kunzhi Tang, Xiaoqian Liu, and Yue Zhou. "Application of Artificial Intelligence Technology Optimized by Deep Learning to Rural Financial Development and Rural Governance." Journal of Global Information Management 30, no. 7 (September 2022): 1–23. http://dx.doi.org/10.4018/jgim.289220.
Javeed, Danish, Tianhan Gao, Muhammad Taimoor Khan, and Ijaz Ahmad. "A Hybrid Deep Learning-Driven SDN Enabled Mechanism for Secure Communication in Internet of Things (IoT)." Sensors 21, no. 14 (July 18, 2021): 4884. http://dx.doi.org/10.3390/s21144884.
Otte, S., L. Wittig, G. Hüttmann, C. Kugler, D. Drömann, A. Zell, A. Schlaefer, and C. Otte. "Investigating Recurrent Neural Networks for OCT A-scan Based Tissue Analysis." Methods of Information in Medicine 53, no. 04 (2014): 245–49. http://dx.doi.org/10.3414/me13-01-0135.
Feigl, Tobias, Sebastian Kram, Philipp Woller, Ramiz H. Siddiqui, Michael Philippsen, and Christopher Mutschler. "RNN-Aided Human Velocity Estimation from a Single IMU." Sensors 20, no. 13 (June 29, 2020): 3656. http://dx.doi.org/10.3390/s20133656.
Lynn, Htet Myet, Pankoo Kim, and Sung Bum Pan. "Data Independent Acquisition Based Bi-Directional Deep Networks for Biometric ECG Authentication." Applied Sciences 11, no. 3 (January 26, 2021): 1125. http://dx.doi.org/10.3390/app11031125.
Zheng, Chunjun, Chunli Wang, and Ning Jia. "An Ensemble Model for Multi-Level Speech Emotion Recognition." Applied Sciences 10, no. 1 (December 26, 2019): 205. http://dx.doi.org/10.3390/app10010205.
Qin, Tianyun, Rangding Wang, Diqun Yan, and Lang Lin. "Source Cell-Phone Identification in the Presence of Additive Noise from CQT Domain." Information 9, no. 8 (August 17, 2018): 205. http://dx.doi.org/10.3390/info9080205.
Grossberg, Stephen. "Recurrent neural networks." Scholarpedia 8, no. 2 (2013): 1888. http://dx.doi.org/10.4249/scholarpedia.1888.
Bitzer, Sebastian, and Stefan J. Kiebel. "Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks." Biological Cybernetics 106, no. 4-5 (May 12, 2012): 201–17. http://dx.doi.org/10.1007/s00422-012-0490-x.
Schuster, M., and K. K. Paliwal. "Bidirectional recurrent neural networks." IEEE Transactions on Signal Processing 45, no. 11 (1997): 2673–81. http://dx.doi.org/10.1109/78.650093.
Passricha, Vishal, and Rajesh Kumar Aggarwal. "A Hybrid of Deep CNN and Bidirectional LSTM for Automatic Speech Recognition." Journal of Intelligent Systems 29, no. 1 (March 5, 2019): 1261–74. http://dx.doi.org/10.1515/jisys-2018-0372.
Ma, Xiao, Peter Karkus, David Hsu, and Wee Sun Lee. "Particle Filter Recurrent Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 5101–8. http://dx.doi.org/10.1609/aaai.v34i04.5952.
KAWAMURA, Yoshiaki. "Learning for Recurrent Neural Networks." Journal of Japan Society for Fuzzy Theory and Systems 7, no. 1 (1995): 52–56. http://dx.doi.org/10.3156/jfuzzy.7.1_52.
Sutskever, Ilya, and Geoffrey Hinton. "Temporal-Kernel Recurrent Neural Networks." Neural Networks 23, no. 2 (March 2010): 239–43. http://dx.doi.org/10.1016/j.neunet.2009.10.009.
Gavaldà, Ricard, and Hava T. Siegelmann. "Discontinuities in Recurrent Neural Networks." Neural Computation 11, no. 3 (April 1, 1999): 715–45. http://dx.doi.org/10.1162/089976699300016638.
Jinmiao Chen and N. S. Chaudhari. "Segmented-Memory Recurrent Neural Networks." IEEE Transactions on Neural Networks 20, no. 8 (August 2009): 1267–80. http://dx.doi.org/10.1109/tnn.2009.2022980.
Samuelides, M., and B. Cessac. "Random recurrent neural networks dynamics." European Physical Journal Special Topics 142, no. 1 (March 2007): 89–122. http://dx.doi.org/10.1140/epjst/e2007-00059-1.
Cheng, Chang-Yuan, Kuang-Hui Lin, and Chih-Wen Shih. "Multistability in Recurrent Neural Networks." SIAM Journal on Applied Mathematics 66, no. 4 (January 2006): 1301–20. http://dx.doi.org/10.1137/050632440.
Ruiz, Luana, Fernando Gama, and Alejandro Ribeiro. "Gated Graph Recurrent Neural Networks." IEEE Transactions on Signal Processing 68 (2020): 6303–18. http://dx.doi.org/10.1109/tsp.2020.3033962.
Santini, Simone, Alberto Del Bimbo, and Ramesh Jain. "Block-structured recurrent neural networks." Neural Networks 8, no. 1 (January 1995): 135–47. http://dx.doi.org/10.1016/0893-6080(94)00060-y.
Hunt, Andrew. "Recurrent neural networks for syllabification." Speech Communication 13, no. 3-4 (December 1993): 323–32. http://dx.doi.org/10.1016/0167-6393(93)90031-f.
White, Halbert. "Learning in recurrent neural networks." Mathematical Social Sciences 22, no. 1 (August 1991): 102–3. http://dx.doi.org/10.1016/0165-4896(91)90073-z.
Imam, Nabil. "Wiring up recurrent neural networks." Nature Machine Intelligence 3, no. 9 (September 2021): 740–41. http://dx.doi.org/10.1038/s42256-021-00391-2.
Pu, Yi-Fei, Zhang Yi, and Ji-Liu Zhou. "Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks." IEEE Transactions on Neural Networks and Learning Systems 28, no. 10 (October 2017): 2319–33. http://dx.doi.org/10.1109/tnnls.2016.2582512.
Shchetinin, Eugene Yu, and Leonid Sevastianov. "Improving the Learning Power of Artificial Intelligence Using Multimodal Deep Learning." EPJ Web of Conferences 248 (2021): 01017. http://dx.doi.org/10.1051/epjconf/202124801017.
Tamura, Akihiro, Taro Watanabe, and Eiichiro Sumita. "Recurrent Neural Networks for Word Alignment." Journal of Natural Language Processing 22, no. 4 (2015): 289–312. http://dx.doi.org/10.5715/jnlp.22.289.
Park, Sungrae, Kyungwoo Song, Mingi Ji, Wonsung Lee, and Il-Chul Moon. "Adversarial Dropout for Recurrent Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4699–706. http://dx.doi.org/10.1609/aaai.v33i01.33014699.
Mu, Yangzi, Mengxing Huang, Chunyang Ye, and Qingzhou Wu. "Diagnosis Prediction via Recurrent Neural Networks." International Journal of Machine Learning and Computing 8, no. 2 (April 2018): 117–20. http://dx.doi.org/10.18178/ijmlc.2018.8.2.673.
S B, Chandini. "Intrusion Detection using Recurrent Neural Networks." International Journal for Research in Applied Science and Engineering Technology 8, no. 6 (June 30, 2020): 2050–52. http://dx.doi.org/10.22214/ijraset.2020.6335.
Freitag, Steffen, Wolfgang Graf, and Michael Kaliske. "Recurrent neural networks for fuzzy data." Integrated Computer-Aided Engineering 18, no. 3 (June 17, 2011): 265–80. http://dx.doi.org/10.3233/ica-2011-0373.
Garzon, Max, and Fernanda Botelho. "Dynamical approximation by recurrent neural networks." Neurocomputing 29, no. 1-3 (November 1999): 25–46. http://dx.doi.org/10.1016/s0925-2312(99)00114-9.
Dobnikar, Andrej, and Branko Šter. "Structural Properties of Recurrent Neural Networks." Neural Processing Letters 29, no. 2 (February 12, 2009): 75–88. http://dx.doi.org/10.1007/s11063-009-9096-2.