Literatura académica sobre el tema "BI-DIRECTIONAL GRATED RECURRENT UNIT"
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Artículos de revistas sobre el tema "BI-DIRECTIONAL GRATED RECURRENT UNIT"
Han, Tian, Zhu Zhang, Mingyuan Ren, Changchun Dong, Xiaolin Jiang y Quansheng Zhuang. "Speech Emotion Recognition Based on Deep Residual Shrinkage Network". Electronics 12, n.º 11 (2 de junio de 2023): 2512. http://dx.doi.org/10.3390/electronics12112512.
Texto completoAkalya, Devi C., Renuka D. Karthika, T. Harisudhan, V. K. Jeevanantham, J. Jhanani y Varshini S. Kavi. "Text emotion recognition using fast text word embedding in bi-directional gated recurrent unit". i-manager's Journal on Information Technology 11, n.º 4 (2022): 1. http://dx.doi.org/10.26634/jit.11.4.19119.
Texto completoZhang, Xue, Helmut Kuehnelt y Wim De Roeck. "Traffic Noise Prediction Applying Multivariate Bi-Directional Recurrent Neural Network". Applied Sciences 11, n.º 6 (18 de marzo de 2021): 2714. http://dx.doi.org/10.3390/app11062714.
Texto completoAppati, Justice Kwame, Ismail Wafaa Denwar, Ebenezer Owusu y Michael Agbo Tettey Soli. "Construction of an Ensemble Scheme for Stock Price Prediction Using Deep Learning Techniques". International Journal of Intelligent Information Technologies 17, n.º 2 (abril de 2021): 72–95. http://dx.doi.org/10.4018/ijiit.2021040104.
Texto completoThakur, Narina, Sunil K. Singh, Akash Gupta, Kunal Jain, Rachna Jain, Dragan Peraković, Nadia Nedjah y Marjan Kuchaki Rafsanjani. "A Novel CNN, Bidirectional Long-Short Term Memory, and Gated Recurrent Unit-Based Hybrid Approach for Human Activity Recognition". International Journal of Software Science and Computational Intelligence 14, n.º 1 (1 de enero de 2022): 1–19. http://dx.doi.org/10.4018/ijssci.311445.
Texto completoGurumoorthy, Sasikumar, Aruna Kumari Kokku, Przemysław Falkowski-Gilski y Parameshachari Bidare Divakarachari. "Effective Air Quality Prediction Using Reinforced Swarm Optimization and Bi-Directional Gated Recurrent Unit". Sustainability 15, n.º 14 (24 de julio de 2023): 11454. http://dx.doi.org/10.3390/su151411454.
Texto completoLiu, Xinyu, Yongjun Wang, Xishuo Wang, Hui Xu, Chao Li y Xiangjun Xin. "Bi-directional gated recurrent unit neural network based nonlinear equalizer for coherent optical communication system". Optics Express 29, n.º 4 (9 de febrero de 2021): 5923. http://dx.doi.org/10.1364/oe.416672.
Texto completoEndalie, Demeke, Getamesay Haile y Wondmagegn Taye. "Bi-directional long short term memory-gated recurrent unit model for Amharic next word prediction". PLOS ONE 17, n.º 8 (18 de agosto de 2022): e0273156. http://dx.doi.org/10.1371/journal.pone.0273156.
Texto completoAbid, Fazeel, Muhammad Alam, Faten S. Alamri y Imran Siddique. "Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization". AIMS Mathematics 8, n.º 9 (2023): 19993–20017. http://dx.doi.org/10.3934/math.20231019.
Texto completoSeabe, Phumudzo Lloyd, Claude Rodrigue Bambe Moutsinga y Edson Pindza. "Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach". Fractal and Fractional 7, n.º 2 (18 de febrero de 2023): 203. http://dx.doi.org/10.3390/fractalfract7020203.
Texto completoTesis sobre el tema "BI-DIRECTIONAL GRATED RECURRENT UNIT"
SACHDEVA, NITIN. "CYBERBULLYING DETECTION ON SOCIAL MEDIA USING DEEP LEARNING MODELS". Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18914.
Texto completoCapítulos de libros sobre el tema "BI-DIRECTIONAL GRATED RECURRENT UNIT"
Jha, Kanchan, Sriparna Saha y Matloob Khushi. "Protein-Protein Interactions Prediction Based on Bi-directional Gated Recurrent Unit and Multimodal Representation". En Communications in Computer and Information Science, 164–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63823-8_20.
Texto completoActas de conferencias sobre el tema "BI-DIRECTIONAL GRATED RECURRENT UNIT"
Khan, Saqib Ali, Syed Muhammad Daniyal Khalid, Muhammad Ali Shahzad y Faisal Shafait. "Table Structure Extraction with Bi-Directional Gated Recurrent Unit Networks". En 2019 International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2019. http://dx.doi.org/10.1109/icdar.2019.00220.
Texto completoKumar R, Jeen Retna, Berakhah F. Stanley y Joel Devadass D. J. Daniel. "Effective Facial Emotion Recognition Using Bi-wavelet Bi-directional Gated Recurrent Unit Neural Network". En 2023 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI). IEEE, 2023. http://dx.doi.org/10.1109/raeeucci57140.2023.10134292.
Texto completoSu, Bo-Hao, Chun-Min Chang, Yun-Shao Lin y Chi-Chun Lee. "Improving Speech Emotion Recognition Using Graph Attentive Bi-Directional Gated Recurrent Unit Network". En Interspeech 2020. ISCA: ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-1733.
Texto completoJabreel, Mohammed y Antonio Moreno. "Target-dependent Sentiment Analysis of Tweets using a Bi-directional Gated Recurrent Unit". En 13th International Conference on Web Information Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006299900800087.
Texto completoWickramaratne, Sajila D. y MD Shaad Mahmud. "Bi-Directional Gated Recurrent Unit Based Ensemble Model for the Early Detection of Sepsis". En 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society. IEEE, 2020. http://dx.doi.org/10.1109/embc44109.2020.9175223.
Texto completoAim-Nang, Sawetsit, Pusadee Seresangtakul y Pongsathon Janyoi. "Isarn Dialect Word Segmentation using Bi-directional Gated Recurrent Unit with transfer learning approach". En 2022 26th International Computer Science and Engineering Conference (ICSEC). IEEE, 2022. http://dx.doi.org/10.1109/icsec56337.2022.10049346.
Texto completoWang, Shunjiang, Dianyang Li, Gang Liu, Zhaowei Ling y Duo Wang. "Short-term PV Power Prediction Based on Bi-directional Gated Recurrent Unit Network and Adaptive Chirp Mode Decomposition". En 2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE). IEEE, 2023. http://dx.doi.org/10.1109/nnice58320.2023.10105683.
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