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Статті в журналах з теми "HYBRID CNN-RNN MODEL"
Zaheer, Shahzad, Nadeem Anjum, Saddam Hussain, Abeer D. Algarni, Jawaid Iqbal, Sami Bourouis, and Syed Sajid Ullah. "A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model." Mathematics 11, no. 3 (January 22, 2023): 590. http://dx.doi.org/10.3390/math11030590.
Повний текст джерелаAshraf, Mohsin, Fazeel Abid, Ikram Ud Din, Jawad Rasheed, Mirsat Yesiltepe, Sook Fern Yeo, and Merve T. Ersoy. "A Hybrid CNN and RNN Variant Model for Music Classification." Applied Sciences 13, no. 3 (January 22, 2023): 1476. http://dx.doi.org/10.3390/app13031476.
Повний текст джерелаKrishnan, V. Gokula, M. V. Vijaya Saradhi, T. A. Mohana Prakash, K. Gokul Kannan, and 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, no. 12 (December 31, 2022): 133–39. http://dx.doi.org/10.17762/ijritcc.v10i12.5894.
Повний текст джерелаYu, Dian, and Shouqian Sun. "A Systematic Exploration of Deep Neural Networks for EDA-Based Emotion Recognition." Information 11, no. 4 (April 15, 2020): 212. http://dx.doi.org/10.3390/info11040212.
Повний текст джерелаBehera, Bibhuti Bhusana, Binod Kumar Pattanayak, and Rajani Kanta Mohanty. "Deep Ensemble Model for Detecting Attacks in Industrial IoT." International Journal of Information Security and Privacy 16, no. 1 (January 1, 2022): 1–29. http://dx.doi.org/10.4018/ijisp.311467.
Повний текст джерелаCheng, Yepeng, Zuren Liu, and Yasuhiko Morimoto. "Attention-Based SeriesNet: An Attention-Based Hybrid Neural Network Model for Conditional Time Series Forecasting." Information 11, no. 6 (June 5, 2020): 305. http://dx.doi.org/10.3390/info11060305.
Повний текст джерелаPawar, Mahendra Eknath, Rais Allauddin Mulla, Sanjivani H. Kulkarni, Sajeeda Shikalgar, Harikrishna B. Jethva, and 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, no. 1s (December 10, 2022): 190–99. http://dx.doi.org/10.17762/ijritcc.v10i1s.5823.
Повний текст джерелаUTKU, Anıl. "Kentsel Trafik Tahminine Yönelik Derin Öğrenme Tabanlı Verimli Bir Hibrit Model." Bilişim Teknolojileri Dergisi 16, no. 2 (April 30, 2023): 107–17. http://dx.doi.org/10.17671/gazibtd.1167140.
Повний текст джерелаLiang, Youzhi, Wen Liang, and Jianguo Jia. "Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN." Advances in Artificial Intelligence and Machine Learning 03, no. 02 (2023): 1110–22. http://dx.doi.org/10.54364/aaiml.2023.1165.
Повний текст джерелаZhang, Langlang, Jun Xie, Xinxiu Liu, Wenbo Zhang, and 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.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаЧастини книг з теми "HYBRID CNN-RNN MODEL"
Ma, Zhiyuan, Wenge Rong, Yanmeng Wang, Libin Shi, and Zhang Xiong. "A Hybrid RNN-CNN Encoder for Neural Conversation Model." In Knowledge Science, Engineering and Management, 159–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99247-1_14.
Повний текст джерелаGuo, Long, Dongxiang Zhang, Lei Wang, Han Wang, and Bin Cui. "CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification." In Conceptual Modeling, 571–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00847-5_42.
Повний текст джерелаBensalah, Nouhaila, Habib Ayad, Abdellah Adib, and Abdelhamid Ibn El Farouk. "CRAN: An Hybrid CNN-RNN Attention-Based Model for Arabic Machine Translation." In Networking, Intelligent Systems and Security, 87–102. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3637-0_7.
Повний текст джерелаDavid, Hepzibah Elizabeth, K. Ramalakshmi, R. Venkatesan, and G. Hemalatha. "Tomato Leaf Disease Detection Using Hybrid CNN-RNN Model." In Advances in Parallel Computing. IOS Press, 2021. http://dx.doi.org/10.3233/apc210108.
Повний текст джерелаТези доповідей конференцій з теми "HYBRID CNN-RNN MODEL"
Thomas, Merin, and Bhavana Gowda D M. "CNN-RNN Hybrid model based Hindi Character Recognition." In 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC). IEEE, 2022. http://dx.doi.org/10.1109/iihc55949.2022.10060061.
Повний текст джерелаHsu, Shiou Tian, Changsung Moon, Paul Jones, and Nagiza Samatova. "A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification." In 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.
Повний текст джерелаTu, Zihan, and Zhe Wu. "Predicting Beijing Air Quality Using Bayesian Optimized CNN-RNN Hybrid Model." In 2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML). IEEE, 2022. http://dx.doi.org/10.1109/cacml55074.2022.00104.
Повний текст джерелаDong, Zihao, Ruixun Zhang, and Xiuli Shao. "A CNN-RNN Hybrid Model with 2D Wavelet Transform Layer for Image Classification." In 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2019. http://dx.doi.org/10.1109/ictai.2019.00147.
Повний текст джерелаSingh, Gurpreet, Pradeepta Kumar Sarangi, Lekha Rani, Kapil Sharma, Sachin Sinha, Ashok Kumar Sahoo, and Bishnu Prasad Rath. "CNN-RNN based Hybrid Machine Learning Model to Predict the Currency Exchange Rate: USD to INR." In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2022. http://dx.doi.org/10.1109/icacite53722.2022.9823844.
Повний текст джерелаZamani, Farhad, and Retno Wulansari. "Emotion Classification using 1D-CNN and RNN based On DEAP Dataset." In 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.
Повний текст джерелаShen, Tao, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, and Chengqi Zhang. "Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling." In 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.
Повний текст джерелаAjao, Oluwaseun, Deepayan Bhowmik, and Shahrzad Zargari. "Fake News Identification on Twitter with Hybrid CNN and RNN Models." In 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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