يعرض 1 - 10 نتائج من 31 نتيجة بحث عن '"CNN+LSTM"', وقت الاستعلام: 0.97s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Learning Reliable Gradients From Undersampled Circular Light Field for 3D Reconstruction

    المؤلفون: Song, Z., Wang, X., Zhu, H., Zhou, G., Wang, Q.

    المصدر: IEEE Transactions on Visualization and Computer Graphics IEEE Trans. Visual. Comput. Graphics Visualization and Computer Graphics, IEEE Transactions on. 29(12):5194-5207 Dec, 2023

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  2. 2
    مؤتمر
    Analysis of Emotions from Speech using Hybrid Deep Learning Network Models

    المؤلفون: Kumara, Chevella Anil, Sheelab, Kancharla Anitha, Vodnalac, Naveen Kumar

    المصدر: 2022 International Conference on Futuristic Technologies (INCOFT) Futuristic Technologies (INCOFT), 2022 International Conference on. :1-6 Nov, 2022

    Relation: 2022 International Conference on Futuristic Technologies (INCOFT)

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  3. 3
    مؤتمر
    A Cross-Corpus Deep Learning Approach to Social Media Emotion Classification

    المؤلفون: Sharker, Arman, Farhab, Mohammad Abdur Rafi, Tamanna, Tahrima Akter, Rumman, Umma, Shawon, Md. Tanvir Rouf, Mandal, Nibir Chandra

    المصدر: 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI) Sustainable Technologies for Industry 4.0 (STI), 2022 4th International Conference on. :1-6 Dec, 2022

    Relation: 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI)

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  4. 4
    دورية أكاديمية
    An effective technique for detecting minority attacks in NIDS using deep learning and sampling approach

    المؤلفون: R. Harini, N. Maheswari, Sannasi Ganapathy, M. Sivagami

    المصدر: Alexandria Engineering Journal, Vol 78, Iss , Pp 469-482 (2023)

    مصطلحات موضوعية: Network intrusion detection system, Triple layered hybrid approach, Weighted deep neural network, CNN+LSTM and XGBoost, Engineering (General). Civil engineering (General), TA1-2040

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S1110016823006531; https://doaj.org/toc/1110-0168

    URL الوصول: https://doaj.org/article/57748ffd328b466db722ef9f89678720

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  5. 5
    دورية أكاديمية
    Improving sentiment classification using a RoBERTa-based hybrid model

    المؤلفون: Noura A. Semary, Wesam Ahmed, Khalid Amin, Paweł Pławiak, Mohamed Hammad

    المصدر: Frontiers in Human Neuroscience, Vol 17 (2023)

    مصطلحات موضوعية: sentiment analysis, word embedding, RoBERTa, SMOTE, LSTM, CNN+LSTM, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

    وصف الملف: electronic resource

    Relation: https://www.frontiersin.org/articles/10.3389/fnhum.2023.1292010/full; https://doaj.org/toc/1662-5161

    URL الوصول: https://doaj.org/article/d25b4d5389594590b7d627f29b8416ca

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  6. 6
    كتاب إلكتروني
    A Longitudinal Study of the Emotional Content in Indian Political Speeches

    المؤلفون: Pandey, Sandeep KumarAff11, Aff12, Nirgulkar, Mohit ManoharAff11, Shekhawat, Hanumant SinghAff11

    المساهمون: Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Yung, Moti, Editorial Board MemberAff6, Zaynidinov, Hakimjon, editorAff7, Singh, Madhusudan, editorAff8, Tiwary, Uma Shanker, editorAff9, Singh, Dhananjay, editorAff10

    المصدر: Intelligent Human Computer Interaction : 14th International Conference, IHCI 2022, Tashkent, Uzbekistan, October 20–22, 2022, Revised Selected Papers. 13741:166-176

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  7. 7
    دورية أكاديمية
    A Study on the Performance Evaluation of the Convolutional Neural Network–Transformer Hybrid Model for Positional Analysis

    المؤلفون: Sang-Hyun Lee

    المصدر: Applied Sciences, Vol 13, Iss 20, p 11258 (2023)

    مصطلحات موضوعية: CNN–Transformer hybrid model, CNN+LSTM hybrid model, CNN model, LSTM model, ELM model, odor, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2076-3417/13/20/11258; https://doaj.org/toc/2076-3417

    URL الوصول: https://doaj.org/article/1233f54c112d4338b845435dc48706a1

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  8. 8
    كتاب إلكتروني
    Analysis of Emotional Content in Indian Political Speeches

    المؤلفون: Goel, SharuAff14, Pandey, Sandeep KumarAff14, Shekhawat, Hanumant SinghAff14

    المساهمون: Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Woeginger, Gerhard, Editorial Board MemberAff6, Yung, Moti, Editorial Board MemberAff7, Singh, Madhusudan, editorAff8, Kang, Dae-Ki, editorAff9, Lee, Jong-Ha, editorAff10, Tiwary, Uma Shanker, editorAff11, Singh, Dhananjay, editorAff12, Chung, Wan-Young, editorAff13

    المصدر: Intelligent Human Computer Interaction : 12th International Conference, IHCI 2020, Daegu, South Korea, November 24–26, 2020, Proceedings, Part I. 12615:177-185

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  9. 9
    دورية أكاديمية
    Development of a CNN+LSTM Hybrid Neural Network for Daily PM2.5 Prediction

    المؤلفون: Hyun S. Kim, Kyung M. Han, Jinhyeok Yu, Jeeho Kim, Kiyeon Kim, Hyomin Kim

    المصدر: Atmosphere, Vol 13, Iss 12, p 2124 (2022)

    مصطلحات موضوعية: artificial neural network, CNN+LSTM, daily PM2.5 prediction, Meteorology. Climatology, QC851-999

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2073-4433/13/12/2124; https://doaj.org/toc/2073-4433

    URL الوصول: https://doaj.org/article/ddaa6c0ce5884bda8d3631827bdefcae

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  10. 10
    دورية أكاديمية
    An Effective and Robust Approach Based on R-CNN+LSTM Model and NCAR Feature Selection for Ophthalmological Disease Detection from Fundus Images

    المؤلفون: Fatih Demir, Burak Taşcı

    المصدر: Journal of Personalized Medicine, Vol 11, Iss 12, p 1276 (2021)

    مصطلحات موضوعية: ophthalmological disease, fundus images, R-CNN+LSTM, NCAR feature selection, Medicine

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2075-4426/11/12/1276; https://doaj.org/toc/2075-4426

    URL الوصول: https://doaj.org/article/260a81a3572d43d1b6a4ca83ad5e2f4a

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