Artykuły w czasopismach na temat „Convolutional code-word”
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Sprawdź 34 najlepszych artykułów w czasopismach naukowych na temat „Convolutional code-word”.
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Sidorenko, A. A. "Decoding of the turbo code created on the basis of the block code using the syndrome grid". Journal of Physics: Conference Series 2388, nr 1 (1.12.2022): 012029. http://dx.doi.org/10.1088/1742-6596/2388/1/012029.
Pełny tekst źródłaWang, Yilin, Siqing Xue i Jun Song. "A Malicious Webpage Detection Method Based on Graph Convolutional Network". Mathematics 10, nr 19 (25.09.2022): 3496. http://dx.doi.org/10.3390/math10193496.
Pełny tekst źródłaRamanna, Dasari, i V. Ganesan. "Low-Power VLSI Implementation of Novel Hybrid Adaptive Variable-Rate and Recursive Systematic Convolutional Encoder for Resource Constrained Wireless Communication Systems". International Journal of Electrical and Electronics Research 10, nr 3 (30.09.2022): 523–28. http://dx.doi.org/10.37391/ijeer.100320.
Pełny tekst źródłaEt.al, Vishaal Saravanan. "Automated Web Design And Code Generation Using Deep Learning". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, nr 6 (10.04.2021): 364–73. http://dx.doi.org/10.17762/turcomat.v12i6.1401.
Pełny tekst źródłaFarid, Ahmed Bahaa, Enas Mohamed Fathy, Ahmed Sharaf Eldin i Laila A. Abd-Elmegid. "Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)". PeerJ Computer Science 7 (16.11.2021): e739. http://dx.doi.org/10.7717/peerj-cs.739.
Pełny tekst źródłaHsu, Jia-Lien, Teng-Jie Hsu, Chung-Ho Hsieh i Anandakumar Singaravelan. "Applying Convolutional Neural Networks to Predict the ICD-9 Codes of Medical Records". Sensors 20, nr 24 (11.12.2020): 7116. http://dx.doi.org/10.3390/s20247116.
Pełny tekst źródłaBanerjee, Suman, i Mitesh M. Khapra. "Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems". Transactions of the Association for Computational Linguistics 7 (listopad 2019): 485–500. http://dx.doi.org/10.1162/tacl_a_00284.
Pełny tekst źródłaRao, Jinfeng, Wei Yang, Yuhao Zhang, Ferhan Ture i Jimmy Lin. "Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17.07.2019): 232–40. http://dx.doi.org/10.1609/aaai.v33i01.3301232.
Pełny tekst źródłaSimistira Liwicki, Foteini, Vibha Gupta, Rajkumar Saini, Kanjar De i Marcus Liwicki. "Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible". NeuroSci 3, nr 2 (19.04.2022): 226–44. http://dx.doi.org/10.3390/neurosci3020017.
Pełny tekst źródłaZhang, Min, Yujin Yan, Hai Wang i Wei Zhao. "An Algorithm for Natural Images Text Recognition Using Four Direction Features". Electronics 8, nr 9 (31.08.2019): 971. http://dx.doi.org/10.3390/electronics8090971.
Pełny tekst źródłaMasud, Jakir Hossain Bhuiyan, Chen-Cheng Kuo, Chih-Yang Yeh, Hsuan-Chia Yang i Ming-Chin Lin. "Applying Deep Learning Model to Predict Diagnosis Code of Medical Records". Diagnostics 13, nr 13 (6.07.2023): 2297. http://dx.doi.org/10.3390/diagnostics13132297.
Pełny tekst źródłaSabbah, Ahmed F., i Abualsoud A. Hanani. "Self-admitted technical debt classification using natural language processing word embeddings". International Journal of Electrical and Computer Engineering (IJECE) 13, nr 2 (1.04.2023): 2142. http://dx.doi.org/10.11591/ijece.v13i2.pp2142-2155.
Pełny tekst źródłaDeng, Lei, Hui Wu, Xuejun Liu i Hui Liu. "DeepD2V: A Novel Deep Learning-Based Framework for Predicting Transcription Factor Binding Sites from Combined DNA Sequence". International Journal of Molecular Sciences 22, nr 11 (24.05.2021): 5521. http://dx.doi.org/10.3390/ijms22115521.
Pełny tekst źródłaPeng, Min, Chongyang Wang, Yu Shi i Xiang-Dong Zhou. "Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 2 (26.06.2023): 2038–46. http://dx.doi.org/10.1609/aaai.v37i2.25296.
Pełny tekst źródłaRyzhova, Anna Romanivna, i Yurii Oleksiiovych Onykiienko. "Analysis of the Microcontroller Resources Using Specifics for Speech Recognition". Microsystems, Electronics and Acoustics 27, nr 2 (21.08.2022): 265406–1. http://dx.doi.org/10.20535/2523-4455.mea.265406.
Pełny tekst źródłaLin, Yang, Xiaoyong Pan i Hong-Bin Shen. "lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning". Bioinformatics 37, nr 16 (25.02.2021): 2308–16. http://dx.doi.org/10.1093/bioinformatics/btab127.
Pełny tekst źródłaTang, Xu, Xiangrong Zhang, Fang Liu i Licheng Jiao. "Unsupervised Deep Feature Learning for Remote Sensing Image Retrieval". Remote Sensing 10, nr 8 (7.08.2018): 1243. http://dx.doi.org/10.3390/rs10081243.
Pełny tekst źródłaPanda, Binayak, Sudhanshu Shekhar Bisoyi i Sidhanta Panigrahy. "An ensemble approach for imbalanced multiclass malware classification using 1D-CNN". PeerJ Computer Science 9 (14.11.2023): e1677. http://dx.doi.org/10.7717/peerj-cs.1677.
Pełny tekst źródłaMasud, Jakir Hossain Bhuiyan, Chiang Shun, Chen-Cheng Kuo, Md Mohaimenul Islam, Chih-Yang Yeh, Hsuan-Chia Yang i Ming-Chin Lin. "Deep-ADCA: Development and Validation of Deep Learning Model for Automated Diagnosis Code Assignment Using Clinical Notes in Electronic Medical Records". Journal of Personalized Medicine 12, nr 5 (28.04.2022): 707. http://dx.doi.org/10.3390/jpm12050707.
Pełny tekst źródłaWang, Zhe, Sen Xiang, Chao Zhou i Qing Xu. "DeepMethylation: a deep learning based framework with GloVe and Transformer encoder for DNA methylation prediction". PeerJ 11 (25.09.2023): e16125. http://dx.doi.org/10.7717/peerj.16125.
Pełny tekst źródłaKutova, О. V., i R. V. Sahaidak-Nikitiuk. "Optimization methods for multi-criteria decisions in pharmacy". Social Pharmacy in Health Care 9, nr 4 (17.11.2023): 3–10. http://dx.doi.org/10.24959/sphhcj.23.302.
Pełny tekst źródłaAl-Aidaroos, Ahmed Sheikh, i Sara Mohammed Bamzahem. "The Impact of GloVe and Word2Vec Word-Embedding Technologies on Bug Localization with Convolutional Neural Network". International Journal of Science and Engineering Applications, 16.01.2023, 108–11. http://dx.doi.org/10.7753/ijsea1201.1035.
Pełny tekst źródłaKumar, Abhinav, Sunil Saumya i Ashish Singh. "Detecting Dravidian Offensive Posts in MIoT: A Hybrid Deep Learning Framework". ACM Transactions on Asian and Low-Resource Language Information Processing, 24.04.2023. http://dx.doi.org/10.1145/3592602.
Pełny tekst źródłaGao, Wei, Jian Wu i Guandong Xu. "Detecting Duplicate Questions in Stack Overflow via Source Code Modeling". International Journal of Software Engineering and Knowledge Engineering, 23.03.2022, 1–29. http://dx.doi.org/10.1142/s0218194022500073.
Pełny tekst źródłaHannagan, T., A. Agrawal, L. Cohen i S. Dehaene. "Emergence of a compositional neural code for written words: Recycling of a convolutional neural network for reading". Proceedings of the National Academy of Sciences 118, nr 46 (8.11.2021). http://dx.doi.org/10.1073/pnas.2104779118.
Pełny tekst źródłaAl-Malla, Muhammad Abdelhadie, Assef Jafar i Nada Ghneim. "Image captioning model using attention and object features to mimic human image understanding". Journal of Big Data 9, nr 1 (14.02.2022). http://dx.doi.org/10.1186/s40537-022-00571-w.
Pełny tekst źródłaLatha, Yarasu Madhavi, i B. Srinivasa Rao. "Amazon product recommendation system based on a modified convolutional neural network". ETRI Journal, 19.03.2024. http://dx.doi.org/10.4218/etrij.2023-0162.
Pełny tekst źródła"Hate and Aggression Detection in Social Media over Hindi English language". International Journal of Software Science and Computational Intelligence 14, nr 1 (styczeń 2022): 0. http://dx.doi.org/10.4018/ijssci.300357.
Pełny tekst źródłaDu, Zhihua, Xiangdong Xiao i Vladimir N. Uversky. "Classification of Chromosomal DNA Sequence Using A Hybrid Deep Learning Architecture". Current Bioinformatics 15 (24.02.2020). http://dx.doi.org/10.2174/1574893615666200224095531.
Pełny tekst źródłaM, Ramasamy, Rania Anjum S, V. R. Shree Harini, Sreevidya Bharathan Rajalakshmi i Mr P. Dineshkumar. "Address Recognition System for Postal Service Using Neural Networks". International Journal of Advanced Research in Science, Communication and Technology, 31.03.2021, 338–46. http://dx.doi.org/10.48175/ijarsct-918.
Pełny tekst źródłaChutke, Sravanthi, Nandhitha N.M. i Praveen Kumar Lendale. "Video compression based on zig-zag 3D DCT and run-length encoding for multimedia communication systems". International Journal of Pervasive Computing and Communications, 25.07.2022. http://dx.doi.org/10.1108/ijpcc-01-2022-0012.
Pełny tekst źródłaDeng, Lei, Youzhi Liu, Yechuan Shi, Wenhao Zhang, Chun Yang i Hui Liu. "Deep neural networks for inferring binding sites of RNA-binding proteins by using distributed representations of RNA primary sequence and secondary structure". BMC Genomics 21, S13 (grudzień 2020). http://dx.doi.org/10.1186/s12864-020-07239-w.
Pełny tekst źródłaLuo, Hanze, Yingkui Gong, Si Chen, Cheng Yu, Guang Yang, Fengzheng Yu, Ziyue Hu i Xiangwei Tian. "Prediction of Global Ionospheric Total Electron Content (TEC) Based on SAM‐ConvLSTM Model". Space Weather 21, nr 12 (grudzień 2023). http://dx.doi.org/10.1029/2023sw003707.
Pełny tekst źródłaBrekke, P., I. Pilan, H. Husby, T. Gundersen, F. A. Dahl, P. Hurlen, O. E. Nytroe i L. Ovrelid. "Automated identification of patients with syncope in the textual health record – a feasibility study using machine learning and natural language processing". European Heart Journal 41, Supplement_2 (1.11.2020). http://dx.doi.org/10.1093/ehjci/ehaa946.0723.
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