Literatura académica sobre el tema "Deep MCCA"
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Artículos de revistas sobre el tema "Deep MCCA"
Yang, Hai, Rui Chen, Dongdong Li y Zhe Wang. "Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data". Bioinformatics 37, n.º 16 (18 de febrero de 2021): 2231–37. http://dx.doi.org/10.1093/bioinformatics/btab109.
Texto completoHuang, Dian, Chen Yu, Zongze Shao, Minmin Cai, Guangyu Li, Longyu Zheng, Ziniu Yu y Jibin Zhang. "Identification and Characterization of Nnematicidal Volatile Organic Compounds from Deep-Sea Virgibacillus dokdonensis MCCC 1A00493". Molecules 25, n.º 3 (9 de febrero de 2020): 744. http://dx.doi.org/10.3390/molecules25030744.
Texto completoNiu, Siwen, Dong Liu, Zongze Shao, Jiang Huang, Aili Fan y Wenhan Lin. "Chlorinated metabolites with antibacterial activities from a deep-sea-derived Spiromastix fungus". RSC Advances 11, n.º 47 (2021): 29661–67. http://dx.doi.org/10.1039/d1ra05736g.
Texto completoMorshed, Ahsan, Prem Prakash Jayaraman, Timos Sellis, Dimitrios Georgakopoulos, Massimo Villari y Rajiv Ranjan. "Deep Osmosis: Holistic Distributed Deep Learning in Osmotic Computing". IEEE Cloud Computing 4, n.º 6 (noviembre de 2017): 22–32. http://dx.doi.org/10.1109/mcc.2018.1081070.
Texto completoGeng, Huantong y Liangchao Geng. "MCCS-LSTM: Extracting Full-Image Contextual Information and Multi-Scale Spatiotemporal Feature for Radar Echo Extrapolation". Atmosphere 13, n.º 2 (25 de enero de 2022): 192. http://dx.doi.org/10.3390/atmos13020192.
Texto completoXiao, Jing, Yingxue Luo, Shujie Xie y Jun Xu. "Serinicoccus profundi sp. nov., an actinomycete isolated from deep-sea sediment, and emended description of the genus Serinicoccus". International Journal of Systematic and Evolutionary Microbiology 61, n.º 1 (1 de enero de 2011): 16–19. http://dx.doi.org/10.1099/ijs.0.019976-0.
Texto completoNiu, Siwen, Chun-Lan Xie, Tianhua Zhong, Wei Xu, Zhu-Hua Luo, Zongze Shao y Xian-Wen Yang. "Sesquiterpenes from a deep-sea-derived fungus Graphostroma sp. MCCC 3A00421". Tetrahedron 73, n.º 52 (diciembre de 2017): 7267–73. http://dx.doi.org/10.1016/j.tet.2017.11.013.
Texto completoMehta, Sanket, Nicholas C. Danford, Venkat Boddapati, Bonnie Y. Chien y Justin K. Greisberg. "Discriminative Ability for Adverse Outcomes in Traumatic Ankle Fracture: A Comparison of the Modified Charlson Comorbidity Index, Elixhauser Comorbidity Measure, and Modified Frailty Index". Foot & Ankle Orthopaedics 7, n.º 4 (octubre de 2022): 2473011421S0080. http://dx.doi.org/10.1177/2473011421s00803.
Texto completoChen, Wen, Jinping Wang, Dian Huang, Wanli Cheng, Zongze Shao, Minmin Cai, Longyu Zheng, Ziniu Yu y Jibin Zhang. "Volatile Organic Compounds from Bacillus aryabhattai MCCC 1K02966 with Multiple Modes against Meloidogyne incognita". Molecules 27, n.º 1 (24 de diciembre de 2021): 103. http://dx.doi.org/10.3390/molecules27010103.
Texto completoHe, Zhi-Hui, Jia Wu, Lin Xu, Man-Yi Hu, Ming-Ming Xie, You-Jia Hao, Shu-Jin Li, Zong-Ze Shao y Xian-Wen Yang. "Chemical Constituents of the Deep-Sea-Derived Penicillium solitum". Marine Drugs 19, n.º 10 (17 de octubre de 2021): 580. http://dx.doi.org/10.3390/md19100580.
Texto completoTesis sobre el tema "Deep MCCA"
Katthi, Jaswanth Reddy. "Deep Learning Methods For Audio EEG Analysis". Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5734.
Texto completoReed, Andrew Jay. "Molecular analysis of microbial 16S rRNA, mcrA, dsrAB and pmoA genes from deep-sea hydrothermal vent and cold seep sites". 2008. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17554.
Texto completoDubey, Abhishek. "Multimodal Deep Learning for Multi-Label Classification and Ranking Problems". Thesis, 2015. http://etd.iisc.ac.in/handle/2005/3681.
Texto completoDubey, Abhishek. "Multimodal Deep Learning for Multi-Label Classification and Ranking Problems". Thesis, 2015. http://etd.iisc.ernet.in/2005/3681.
Texto completoCapítulos de libros sobre el tema "Deep MCCA"
Deng, Qiuwei, Di Wang, Tianxiang Luan y Bin Hao. "Tiny Deep Convolution Recurrent Network for Online Speech Enhancement with Various Noise Types". En Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220555.
Texto completoActas de conferencias sobre el tema "Deep MCCA"
Sharrab, Yousef, Dimah Al-Fraihat, Monther Tarawneh y Ahmad Sharieh. "Medicinal Plants Recognition Using Deep Learning". En 2023 International Conference on Multimedia Computing, Networking and Applications (MCNA). IEEE, 2023. http://dx.doi.org/10.1109/mcna59361.2023.10185880.
Texto completoElbes, Mohammed, Shadi AlZu'bi y Tarek Kanan. "Deep Learning-Based Earthquake Prediction Technique Using Seismic Data". En 2023 International Conference on Multimedia Computing, Networking and Applications (MCNA). IEEE, 2023. http://dx.doi.org/10.1109/mcna59361.2023.10185869.
Texto completoAttard, Leanne, Carl James Debono, Gianluca Valentino y Mario di Castro. "Specular Highlights Detection Using a U-Net Based Deep Learning Architecture". En 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA). IEEE, 2020. http://dx.doi.org/10.1109/mcna50957.2020.9264278.
Texto completoVictor, Uboho, Xishuang Dong, Xiangfang Li, Pamela Obiomon y Lijun Qian. "Effective COVID-19 Screening using Chest Radiography Images via Deep Learning". En 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA). IEEE, 2020. http://dx.doi.org/10.1109/mcna50957.2020.9264294.
Texto completoGracic, Emil, Fredrik Svensson, Jesko Ehrich, Oliver Beck y Maximilian Jansen. "Concept for Safety-Related Development of Deep Neural Networks in the Automotive". En 2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA). IEEE, 2020. http://dx.doi.org/10.1109/mcna50957.2020.9264279.
Texto completoCaillon, Didier, Benjamin Groschaus, Wilfried Matsiona, Theben Boumba, Manfred Bledou, Nicolas Dupouy, Robert Ilyasov et al. "Successful Implementation of a Modified Carbonate Emulsion Acid System Combined with an Engineered Diversion Approach Delivers Outstanding Results – A Case Study from the Moho Nord Deep Offshore Field in Congo". En IADC/SPE Asia Pacific Drilling Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/201054-ms.
Texto completoEguchi, Shin y Fumio Yamagishi. "Surface-relief hologram reproduction". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.mcc4.
Texto completoLuo, Zhaojie, Tetsuya Takiguchi y Yasuo Ariki. "Emotional voice conversion using deep neural networks with MCC and F0 features". En 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS). IEEE, 2016. http://dx.doi.org/10.1109/icis.2016.7550889.
Texto completoGuan, Sheng, Min Chen, Hsin-Yu Ha, Shu-Ching Chen, Mei-Ling Shyu y Chengde Zhang. "Deep Learning with MCA-based Instance Selection and Bootstrapping for Imbalanced Data Classification". En 2015 IEEE Conference on Collaboration and Internet Computing (CIC). IEEE, 2015. http://dx.doi.org/10.1109/cic.2015.40.
Texto completoLian, Hailun, Yuting Hu, Jian Zhou, Huabin Wang y Liang Tao. "Whisper to Normal Speech Based on Deep Neural Networks with MCC and F0 Features". En 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP). IEEE, 2018. http://dx.doi.org/10.1109/icdsp.2018.8631888.
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