Literatura académica sobre el tema "HYBRID CNN-RNN MODEL"
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Artículos de revistas sobre el tema "HYBRID CNN-RNN MODEL"
Zaheer, Shahzad, Nadeem Anjum, Saddam Hussain, Abeer D. Algarni, Jawaid Iqbal, Sami Bourouis y Syed Sajid Ullah. "A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model". Mathematics 11, n.º 3 (22 de enero de 2023): 590. http://dx.doi.org/10.3390/math11030590.
Texto completoAshraf, Mohsin, Fazeel Abid, Ikram Ud Din, Jawad Rasheed, Mirsat Yesiltepe, Sook Fern Yeo y Merve T. Ersoy. "A Hybrid CNN and RNN Variant Model for Music Classification". Applied Sciences 13, n.º 3 (22 de enero de 2023): 1476. http://dx.doi.org/10.3390/app13031476.
Texto completoKrishnan, V. Gokula, M. V. Vijaya Saradhi, T. A. Mohana Prakash, K. Gokul Kannan y AG Noorul Julaiha. "Development of Deep Learning based Intelligent Approach for Credit Card Fraud Detection". International Journal on Recent and Innovation Trends in Computing and Communication 10, n.º 12 (31 de diciembre de 2022): 133–39. http://dx.doi.org/10.17762/ijritcc.v10i12.5894.
Texto completoYu, Dian y Shouqian Sun. "A Systematic Exploration of Deep Neural Networks for EDA-Based Emotion Recognition". Information 11, n.º 4 (15 de abril de 2020): 212. http://dx.doi.org/10.3390/info11040212.
Texto completoBehera, Bibhuti Bhusana, Binod Kumar Pattanayak y Rajani Kanta Mohanty. "Deep Ensemble Model for Detecting Attacks in Industrial IoT". International Journal of Information Security and Privacy 16, n.º 1 (1 de enero de 2022): 1–29. http://dx.doi.org/10.4018/ijisp.311467.
Texto completoCheng, Yepeng, Zuren Liu y Yasuhiko Morimoto. "Attention-Based SeriesNet: An Attention-Based Hybrid Neural Network Model for Conditional Time Series Forecasting". Information 11, n.º 6 (5 de junio de 2020): 305. http://dx.doi.org/10.3390/info11060305.
Texto completoPawar, Mahendra Eknath, Rais Allauddin Mulla, Sanjivani H. Kulkarni, Sajeeda Shikalgar, Harikrishna B. Jethva y Gunvant A. Patel. "A Novel Hybrid AI Federated ML/DL Models for Classification of Soil Components". International Journal on Recent and Innovation Trends in Computing and Communication 10, n.º 1s (10 de diciembre de 2022): 190–99. http://dx.doi.org/10.17762/ijritcc.v10i1s.5823.
Texto completoUTKU, Anıl. "Kentsel Trafik Tahminine Yönelik Derin Öğrenme Tabanlı Verimli Bir Hibrit Model". Bilişim Teknolojileri Dergisi 16, n.º 2 (30 de abril de 2023): 107–17. http://dx.doi.org/10.17671/gazibtd.1167140.
Texto completoLiang, Youzhi, Wen Liang y Jianguo Jia. "Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN". Advances in Artificial Intelligence and Machine Learning 03, n.º 02 (2023): 1110–22. http://dx.doi.org/10.54364/aaiml.2023.1165.
Texto completoZhang, Langlang, Jun Xie, Xinxiu Liu, Wenbo Zhang y Pan Geng. "Research on water quality prediction based on PE-CNN-GRU hybrid model". E3S Web of Conferences 393 (2023): 02014. http://dx.doi.org/10.1051/e3sconf/202339302014.
Texto completoTesis sobre el tema "HYBRID CNN-RNN MODEL"
SONI, ANKIT. "DETECTING DEEPFAKES USING HYBRID CNN-RNN MODEL". Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19168.
Texto completoCapítulos de libros sobre el tema "HYBRID CNN-RNN MODEL"
Ma, Zhiyuan, Wenge Rong, Yanmeng Wang, Libin Shi y Zhang Xiong. "A Hybrid RNN-CNN Encoder for Neural Conversation Model". En Knowledge Science, Engineering and Management, 159–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99247-1_14.
Texto completoGuo, Long, Dongxiang Zhang, Lei Wang, Han Wang y Bin Cui. "CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification". En Conceptual Modeling, 571–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00847-5_42.
Texto completoBensalah, Nouhaila, Habib Ayad, Abdellah Adib y Abdelhamid Ibn El Farouk. "CRAN: An Hybrid CNN-RNN Attention-Based Model for Arabic Machine Translation". En Networking, Intelligent Systems and Security, 87–102. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3637-0_7.
Texto completoDavid, Hepzibah Elizabeth, K. Ramalakshmi, R. Venkatesan y G. Hemalatha. "Tomato Leaf Disease Detection Using Hybrid CNN-RNN Model". En Advances in Parallel Computing. IOS Press, 2021. http://dx.doi.org/10.3233/apc210108.
Texto completoActas de conferencias sobre el tema "HYBRID CNN-RNN MODEL"
Thomas, Merin y Bhavana Gowda D M. "CNN-RNN Hybrid model based Hindi Character Recognition". En 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC). IEEE, 2022. http://dx.doi.org/10.1109/iihc55949.2022.10060061.
Texto completoHsu, Shiou Tian, Changsung Moon, Paul Jones y Nagiza Samatova. "A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification". En Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers. Stroudsburg, PA, USA: Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/e17-2071.
Texto completoTu, Zihan y Zhe Wu. "Predicting Beijing Air Quality Using Bayesian Optimized CNN-RNN Hybrid Model". En 2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML). IEEE, 2022. http://dx.doi.org/10.1109/cacml55074.2022.00104.
Texto completoDong, Zihao, Ruixun Zhang y Xiuli Shao. "A CNN-RNN Hybrid Model with 2D Wavelet Transform Layer for Image Classification". En 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2019. http://dx.doi.org/10.1109/ictai.2019.00147.
Texto completoSingh, Gurpreet, Pradeepta Kumar Sarangi, Lekha Rani, Kapil Sharma, Sachin Sinha, Ashok Kumar Sahoo y Bishnu Prasad Rath. "CNN-RNN based Hybrid Machine Learning Model to Predict the Currency Exchange Rate: USD to INR". En 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2022. http://dx.doi.org/10.1109/icacite53722.2022.9823844.
Texto completoZamani, Farhad y Retno Wulansari. "Emotion Classification using 1D-CNN and RNN based On DEAP Dataset". En 10th International Conference on Natural Language Processing (NLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.112328.
Texto completoShen, Tao, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang y Chengqi Zhang. "Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/604.
Texto completoAjao, Oluwaseun, Deepayan Bhowmik y Shahrzad Zargari. "Fake News Identification on Twitter with Hybrid CNN and RNN Models". En SMSociety '18: International Conference on Social Media and Society. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3217804.3217917.
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