Статті в журналах з теми "DEEP LEARNING MODEL"
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Wang, Yating, Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, and Min Wang. "Deep multiscale model learning." Journal of Computational Physics 406 (April 2020): 109071. http://dx.doi.org/10.1016/j.jcp.2019.109071.
Повний текст джерелаXu, Zongben, and Jian Sun. "Model-driven deep-learning." National Science Review 5, no. 1 (August 25, 2017): 22–24. http://dx.doi.org/10.1093/nsr/nwx099.
Повний текст джерелаShlezinger, Nir, and Yonina C. Eldar. "Model-Based Deep Learning." Foundations and Trends® in Signal Processing 17, no. 4 (2023): 291–416. http://dx.doi.org/10.1561/2000000113.
Повний текст джерелаBakhtiari, Shahab. "Can Deep Learning Model Perceptual Learning?" Journal of Neuroscience 39, no. 2 (January 9, 2019): 194–96. http://dx.doi.org/10.1523/jneurosci.2209-18.2018.
Повний текст джерелаWu, Chong. "A Credit Risk Predicting Hybrid Model Based on Deep Learning Technology." International Journal of Machine Learning and Computing 11, no. 3 (May 2021): 182–87. http://dx.doi.org/10.18178/ijmlc.2021.11.3.1033.
Повний текст джерелаSrinivas, Dr Kalyanapu, and Reddy Dr.B.R.S. "Deep Learning based CNN Optimization Model for MR Braing Image Segmentation." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11 (November 20, 2019): 213–20. http://dx.doi.org/10.5373/jardcs/v11i11/20193190.
Повний текст джерелаEvseenko, Alla, and Dmitrii Romannikov. "Application of Deep Q-learning and double Deep Q-learning algorithms to the task of control an inverted pendulum." Transaction of Scientific Papers of the Novosibirsk State Technical University, no. 1-2 (August 26, 2020): 7–25. http://dx.doi.org/10.17212/2307-6879-2020-1-2-7-25.
Повний текст джерела白家納, 白家納, та 黃崇能 Pachara Opattrakarnkul. "以深度學習模式估測控制之駕駛輔助系統的研發". 理工研究國際期刊 12, № 1 (квітень 2022): 015–24. http://dx.doi.org/10.53106/222344892022041201002.
Повний текст джерелаHao, Xing, Guigang Zhang, and Shang Ma. "Deep Learning." International Journal of Semantic Computing 10, no. 03 (September 2016): 417–39. http://dx.doi.org/10.1142/s1793351x16500045.
Повний текст джерелаDjellali, Choukri, and Mehdi adda. "An Enhanced Deep Learning Model to Network Attack Detection, by using Parameter Tuning, Hidden Markov Model and Neural Network." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 01 (March 1, 2021): 35–41. http://dx.doi.org/10.5383/juspn.15.01.005.
Повний текст джерелаBunrit, Supaporn, Thuttaphol Inkian, Nittaya Kerdprasop, and Kittisak Kerdprasop. "Text-Independent Speaker Identification Using Deep Learning Model of Convolution Neural Network." International Journal of Machine Learning and Computing 9, no. 2 (April 2019): 143–48. http://dx.doi.org/10.18178/ijmlc.2019.9.2.778.
Повний текст джерелаSiddanna, S. R., and Y. C. Kiran. "Two Stage Multi Modal Deep Learning Kannada Character Recognition Model Adaptive to Discriminative Patterns of Kannada Characters." Indian Journal Of Science And Technology 16, no. 3 (January 22, 2023): 155–66. http://dx.doi.org/10.17485/ijst/v16i3.1904.
Повний текст джерелаZhihua Chen, Zhihua Chen, Xiaolin Ju Zhihua Chen, Haochen Wang Xiaolin Ju, and Xiang Chen Haochen Wang. "Hybrid Multiple Deep Learning Models to Boost Blocking Bug Prediction." 網際網路技術學刊 23, no. 5 (September 2022): 1099–107. http://dx.doi.org/10.53106/160792642022092305018.
Повний текст джерелаTamboli, Mohasin B., and Dr Nageswara Rao Moparthi. "Deep Learning Model for Intrusion Identification." Journal of Advanced Research in Dynamical and Control Systems 12, no. 5 (May 30, 2020): 388–95. http://dx.doi.org/10.5373/jardcs/v12i5/20201726.
Повний текст джерелаSantos Silva, Jose Vitor, Leonardo Matos Matos, Flavio Santos, Helisson Oliveira Magalhaes Cerqueira, Hendrik Macedo, Bruno Otavio Piedade Prado, Gilton Jose Ferreira da Silva, and Kalil Araujo Bispo. "Combining deep learning model compression techniques." IEEE Latin America Transactions 20, no. 3 (March 2022): 458–64. http://dx.doi.org/10.1109/tla.2022.9667144.
Повний текст джерелаYang, Fan, and Yutai Rao. "Practice and Research of Blended Learning Model Guided by Deep Learning Model." Mathematical Problems in Engineering 2022 (May 26, 2022): 1–6. http://dx.doi.org/10.1155/2022/8915162.
Повний текст джерелаYuan, Zhen, and Jinfeng Liu. "A Hybrid Deep Learning Model for Trash Classification Based on Deep Trasnsfer Learning." Journal of Electrical and Computer Engineering 2022 (June 23, 2022): 1–9. http://dx.doi.org/10.1155/2022/7608794.
Повний текст джерелаLv, Qing, Suzhen Zhang, and Yuechun Wang. "Deep Learning Model of Image Classification Using Machine Learning." Advances in Multimedia 2022 (July 19, 2022): 1–12. http://dx.doi.org/10.1155/2022/3351256.
Повний текст джерелаFang, Qiqing, Gen Liu, Yamin Hu, Yahui Hu, and Jingjing Wang. "A blended collaborative learning model aiming to deep learning." SHS Web of Conferences 140 (2022): 01017. http://dx.doi.org/10.1051/shsconf/202214001017.
Повний текст джерелаSilpa, C., A. Vani, and K. Rama Naidu. "Deep Learning Based Channel Estimation for MIMO-OFDM System with Modified ResNet Model." Indian Journal Of Science And Technology 16, no. 2 (January 15, 2023): 97–108. http://dx.doi.org/10.17485/ijst/v16i2.2154.
Повний текст джерелаFang, Lidong, Pei Ge, Lei Zhang, Weinan E. null, and Huan Lei. "DeePN$^2$: A Deep Learning-Based Non-Newtonian Hydrodynamic Model." Journal of Machine Learning 1, no. 1 (June 2022): 114–40. http://dx.doi.org/10.4208/jml.220115.
Повний текст джерелаDoke, Yash. "Deep fake Detection Through Deep Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 861–66. http://dx.doi.org/10.22214/ijraset.2023.51630.
Повний текст джерелаChoiriyati, Nur, Yandra Arkeman, and Wisnu Ananta Kusuma. "Deep learning model for metagenome fragment classification using spaced k-mers feature extraction." Jurnal Teknologi dan Sistem Komputer 8, no. 3 (May 25, 2020): 234–38. http://dx.doi.org/10.14710/jtsiskom.2020.13407.
Повний текст джерелаST, Suganthi, Mohamed Uvaze Ahamed Ayoobkhan, Krishna Kumar V, Nebojsa Bacanin, Venkatachalam K, Hubálovský Štěpán, and Trojovský Pavel. "Deep learning model for deep fake face recognition and detection." PeerJ Computer Science 8 (February 22, 2022): e881. http://dx.doi.org/10.7717/peerj-cs.881.
Повний текст джерелаYang, Dong, and Jian Sun. "A Model-Driven Deep Dehazing Approach by Learning Deep Priors." IEEE Access 9 (2021): 108542–56. http://dx.doi.org/10.1109/access.2021.3101319.
Повний текст джерелаNoori, Amani Y., Dr Shaimaa H. Shaker, and Dr Raghad Abdulaali Azeez. "Semantic Segmentation of Urban Street Scenes Using Deep Learning." Webology 19, no. 1 (January 20, 2022): 2294–306. http://dx.doi.org/10.14704/web/v19i1/web19156.
Повний текст джерелаLee, S., J. Banzon, K. Le, and D. Kim. "Estimating animal pose using deep learning: a trained deep learning model outperforms morphological analysis." EAI Endorsed Transactions on Bioengineering and Bioinformatics 1, no. 4 (April 22, 2022): 173951. http://dx.doi.org/10.4108/eai.22-4-2022.173951.
Повний текст джерелаGhoniem, Rania M., Abeer D. Algarni, Basel Refky, and Ahmed A. Ewees. "Multi-Modal Evolutionary Deep Learning Model for Ovarian Cancer Diagnosis." Symmetry 13, no. 4 (April 10, 2021): 643. http://dx.doi.org/10.3390/sym13040643.
Повний текст джерелаP, Sanjeevi. "Social Distancing Detection with Deep Learning Model." International Journal for Research in Applied Science and Engineering Technology 9, no. 4 (April 30, 2021): 1683–85. http://dx.doi.org/10.22214/ijraset.2021.33996.
Повний текст джерелаPyo, Jongcheol, Sanghun Park, Kyung-Hwa Cho, and Sang-Soo Baek. "Deep learning model in water-environment field." Journal of the Korean Society of Water and Wastewater 34, no. 6 (December 30, 2020): 481–93. http://dx.doi.org/10.11001/jksww.2020.34.6.481.
Повний текст джерелаZhou, Xingchen, Ming Xu, Yiming Wu, and Ning Zheng. "Deep Model Poisoning Attack on Federated Learning." Future Internet 13, no. 3 (March 14, 2021): 73. http://dx.doi.org/10.3390/fi13030073.
Повний текст джерелаLee, A.-Hyun, Hyeongho Bae, Young-Ky Kim, and Chong-kwon Kim. "Deep Reinforcement Learning based MCS Decision Model." Journal of KIISE 49, no. 8 (August 31, 2022): 663–68. http://dx.doi.org/10.5626/jok.2022.49.8.663.
Повний текст джерелаMohammed, Amal Ahmed Hasan, and Jiazhou Chen. "Cleanup Sketched Drawings: Deep Learning-Based Model." Applied Bionics and Biomechanics 2022 (May 6, 2022): 1–17. http://dx.doi.org/10.1155/2022/2238077.
Повний текст джерелаAnnam, Sangeetha, and Anshu Singla. "Hyperspectral Image Classification Using Deep Learning Model." ECS Transactions 107, no. 1 (April 24, 2022): 6427–33. http://dx.doi.org/10.1149/10701.6427ecst.
Повний текст джерелаZhao, Ming, Meng Li, Sheng-Lung Peng, and Jie Li. "A Novel Deep Learning Model Compression Algorithm." Electronics 11, no. 7 (March 28, 2022): 1066. http://dx.doi.org/10.3390/electronics11071066.
Повний текст джерелаSophiya, E., and S. Jothilakshmi. "Audio event detection using deep learning model." International Journal of Computer Aided Engineering and Technology 16, no. 3 (2022): 328. http://dx.doi.org/10.1504/ijcaet.2022.10046064.
Повний текст джерелаJing, Jing. "Deep Learning-Based Music Quality Analysis Model." Applied Bionics and Biomechanics 2022 (June 13, 2022): 1–6. http://dx.doi.org/10.1155/2022/6213115.
Повний текст джерелаSophiya, E., and S. Jothilakshmi. "Audio event detection using deep learning model." International Journal of Computer Aided Engineering and Technology 16, no. 3 (2022): 328. http://dx.doi.org/10.1504/ijcaet.2022.122149.
Повний текст джерелаAbdin, Osama, and Philip M. Kim. "Rapid protein model refinement by deep learning." Nature Computational Science 1, no. 7 (July 2021): 456–57. http://dx.doi.org/10.1038/s43588-021-00104-0.
Повний текст джерелаGanapriya, K., N. Uma Maheswari, and R. Venkatesh. "Deep Learning Model for Epileptic Seizure Prediction." Journal of Medical Imaging and Health Informatics 11, no. 12 (December 1, 2021): 3199–208. http://dx.doi.org/10.1166/jmihi.2021.3916.
Повний текст джерелаE, Yugesh. "Deep Learning Model for Motion Video Processing." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 2158–61. http://dx.doi.org/10.22214/ijraset.2019.3398.
Повний текст джерелаShadeed, Ghada A., Mohammed A. Tawfeeq, and Sawsan M. Mahmoud. "Deep learning model for thorax diseases detection." TELKOMNIKA (Telecommunication Computing Electronics and Control) 18, no. 1 (February 1, 2020): 441. http://dx.doi.org/10.12928/telkomnika.v18i1.12997.
Повний текст джерелаBakhteev, O. Yu, and V. V. Strijov. "Deep Learning Model Selection of Suboptimal Complexity." Automation and Remote Control 79, no. 8 (August 2018): 1474–88. http://dx.doi.org/10.1134/s000511791808009x.
Повний текст джерелаNigri, Andrea, Susanna Levantesi, Mario Marino, Salvatore Scognamiglio, and Francesca Perla. "A Deep Learning Integrated Lee–Carter Model." Risks 7, no. 1 (March 16, 2019): 33. http://dx.doi.org/10.3390/risks7010033.
Повний текст джерелаWu, Guoxing, Wenjie Lu, Guangwei Gao, Chunxia Zhao, and Jiayin Liu. "Regional deep learning model for visual tracking." Neurocomputing 175 (January 2016): 310–23. http://dx.doi.org/10.1016/j.neucom.2015.10.064.
Повний текст джерелаLee, Miran, Jong Wook Kim, and Beakcheol Jang. "Chicken pox Prediction Using Deep Learning Model." Transactions of The Korean Institute of Electrical Engineers 69, no. 1 (January 31, 2020): 127–37. http://dx.doi.org/10.5370/kiee.2020.69.1.127.
Повний текст джерелаAraya-Polo, Mauricio, Stuart Farris, and Manuel Florez. "Deep learning-driven velocity model building workflow." Leading Edge 38, no. 11 (November 2019): 872a1–872a9. http://dx.doi.org/10.1190/tle38110872a1.1.
Повний текст джерелаBakhteev, Oleg, and Vadim Strijov. "Deep Learning Model Selection of Suboptimal Complexity." Автоматика и телемеханика, no. 8 (2018): 129–47. http://dx.doi.org/10.31857/s000523100001252-1.
Повний текст джерелаHe, Hengtao, Chao-Kai Wen, Shi Jin, and Geoffrey Ye Li. "Model-Driven Deep Learning for MIMO Detection." IEEE Transactions on Signal Processing 68 (2020): 1702–15. http://dx.doi.org/10.1109/tsp.2020.2976585.
Повний текст джерелаMatiisen, Tambet, Aqeel Labash, Daniel Majoral, Jaan Aru, and Raul Vicente. "Do Deep Reinforcement Learning Agents Model Intentions?" Stats 6, no. 1 (December 28, 2022): 50–66. http://dx.doi.org/10.3390/stats6010004.
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