Artículos de revistas sobre el tema "MDLNN"
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AL-Ghamdi, Abdullah S. AL-Malaise y Mahmoud Ragab. "Tunicate swarm algorithm with deep convolutional neural network-driven colorectal cancer classification from histopathological imaging data". Electronic Research Archive 31, n.º 5 (2023): 2793–812. http://dx.doi.org/10.3934/era.2023141.
Texto completoLy, Ngoc Q., Tuong K. Do y Binh X. Nguyen. "Large-Scale Coarse-to-Fine Object Retrieval Ontology and Deep Local Multitask Learning". Computational Intelligence and Neuroscience 2019 (18 de julio de 2019): 1–40. http://dx.doi.org/10.1155/2019/1483294.
Texto completoKhan, Mohammad Ayoub. "An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier". IEEE Access 8 (2020): 34717–27. http://dx.doi.org/10.1109/access.2020.2974687.
Texto completoPraveena, Anto y B. Bharathi. "An approach to remove duplication records in healthcare dataset based on Mimic Deep Neural Network (MDNN) and Chaotic Whale Optimization (CWO)". Concurrent Engineering 29, n.º 1 (marzo de 2021): 58–67. http://dx.doi.org/10.1177/1063293x21992014.
Texto completoLee, Jandee, Chan Hee Kim, In Kyung Min, Seonhyang Jeong, Hyunji Kim, Moon Jung Choi, Hyeong Ju Kwon, Sang Geun Jung y Young Suk Jo. "Detailed characterization of metastatic lymph nodes improves the prediction accuracy of currently used risk stratification systems in N1 stage papillary thyroid cancer". European Journal of Endocrinology 183, n.º 1 (julio de 2020): 83–93. http://dx.doi.org/10.1530/eje-20-0131.
Texto completoSukardi, Hadi Ahmad. "ANALISIS INVESTASI SAHAM DENGAN MENGGUNAKAN CAPITAL ASSET PRICING MODEL". Jurnal SIKAP (Sistem Informasi, Keuangan, Auditing Dan Perpajakan) 5, n.º 1 (8 de febrero de 2021): 18. http://dx.doi.org/10.32897/jsikap.v5i1.251.
Texto completoChen, Yi, Jin Zhou, Qianting Gao, Jing Gao y Wei Zhang. "MDNN: Predicting Student Engagement via Gaze Direction and Facial Expression in Collaborative Learning". Computer Modeling in Engineering & Sciences 136, n.º 1 (2023): 381–401. http://dx.doi.org/10.32604/cmes.2023.023234.
Texto completoLackner, Thomas E. "Advances in Managing Overactive Bladder". Journal of Pharmacy Practice 13, n.º 4 (1 de agosto de 2000): 277–89. http://dx.doi.org/10.1106/8843-q9gl-g9xc-mdln.
Texto completoWang, Xingmei, Anhua Liu, Yu Zhang y Fuzhao Xue. "Underwater Acoustic Target Recognition: A Combination of Multi-Dimensional Fusion Features and Modified Deep Neural Network". Remote Sensing 11, n.º 16 (13 de agosto de 2019): 1888. http://dx.doi.org/10.3390/rs11161888.
Texto completoHuang, Xixian, Xiongjun Zeng, Qingxiang Wu, Yu Lu, Xi Huang y Hua Zheng. "Face Verification Based on Deep Learning for Person Tracking in Hazardous Goods Factories". Processes 10, n.º 2 (17 de febrero de 2022): 380. http://dx.doi.org/10.3390/pr10020380.
Texto completoChen, Zhong, Jun Zhao y He Deng. "Global Multi-Attention UResNeXt for Semantic Segmentation of High-Resolution Remote Sensing Images". Remote Sensing 15, n.º 7 (30 de marzo de 2023): 1836. http://dx.doi.org/10.3390/rs15071836.
Texto completoZhang, Mengqi, Xi Wang, V. E. Sathishkumar y V. Sivakumar. "Machine learning techniques based on security management in smart cities using robots". Work 68, n.º 3 (26 de marzo de 2021): 891–902. http://dx.doi.org/10.3233/wor-203423.
Texto completoSukardi, Hadi Ahmad. "ANALISIS INVESTASI SAHAM PADA PERUSAHAAN PERAIH PENGHARGAAN PROPERTY AWARD 2018 YANG LISTED DI BEI DENGAN MENGGUNAKAN CAPITAL ASSET PRICING MODEL". Ekono Insentif 14, n.º 1 (6 de abril de 2020): 54–64. http://dx.doi.org/10.36787/jei.v14i1.211.
Texto completoChristal, Suma, G. Uma Maheswari, Prabhjot Kaur y Anupama Kaushik. "Heart Diseases Diagnosis Using Chaotic Harris Hawk Optimization with E-CNN for IoMT Framework". Information Technology and Control 52, n.º 2 (15 de julio de 2023): 500–514. http://dx.doi.org/10.5755/j01.itc.52.2.32778.
Texto completoTurner, Daniel, Pedro J. S. Cardoso y João M. F. Rodrigues. "Modular Dynamic Neural Network: A Continual Learning Architecture". Applied Sciences 11, n.º 24 (18 de diciembre de 2021): 12078. http://dx.doi.org/10.3390/app112412078.
Texto completoHuang, Jinchao. "Auto-attentional mechanism in multi-domain convolutional neural networks for improving object tracking". International Journal of Intelligent Computing and Cybernetics ahead-of-print, ahead-of-print (30 de agosto de 2021). http://dx.doi.org/10.1108/ijicc-04-2021-0067.
Texto completoPi, Jiangsheng, Peishun Jiao, Yang Zhang y Junyi Li. "MDGNN: Microbial Drug Prediction Based on Heterogeneous Multi-Attention Graph Neural Network". Frontiers in Microbiology 13 (7 de abril de 2022). http://dx.doi.org/10.3389/fmicb.2022.819046.
Texto completoLei, Chunli, Linlin Xue, Mengxuan Jiao, Huqiang Zhang y Jiashuo Shi. "Rolling bearing fault diagnosis by markov transition field and multi-dimension convolutional neural network". Measurement Science and Technology, 8 de agosto de 2022. http://dx.doi.org/10.1088/1361-6501/ac87c4.
Texto completoCHANG, JIHUI, XUZHONG QIU, HAIJUN HUANG, YUN ZHANG, HAO SHEN, KAI LI, SHUANG ZHANG, JIANGMING KUANG y JINING YANG. "A COMPARATIVE STUDY OF MIPPO AND MDLIN APPLIED TO THE TREATMENT OF DISTAL TIBIAL FRACTURES". Journal of Mechanics in Medicine and Biology, 17 de marzo de 2022. http://dx.doi.org/10.1142/s0219519422400115.
Texto completoAfshar, Shiva, Patricia R. Braun, Shizhong Han y Ying Lin. "A multimodal deep learning model to infer cell-type-specific functional gene networks". BMC Bioinformatics 24, n.º 1 (14 de febrero de 2023). http://dx.doi.org/10.1186/s12859-023-05146-x.
Texto completoSparacio, Alessandro, Ivan Ropovik, Gabriela Jiga-Boy, Adar Cem Lağap y Hans IJzerman. "Stress Regulation via Being in Nature and Social Support in Adults, a Meta-analysis". Collabra: Psychology 9, n.º 1 (2023). http://dx.doi.org/10.1525/collabra.77343.
Texto completoDong, Meilin, Weisheng Li, Xuesong Liang y Xiayan Zhang. "MDCNN: multispectral pansharpening based on a multiscale dilated convolutional neural network". Journal of Applied Remote Sensing 15, n.º 03 (8 de septiembre de 2021). http://dx.doi.org/10.1117/1.jrs.15.036516.
Texto completoWang, Zheng, Chuanbo Wen y Yifan Dong. "A Method for Rolling Bearing Fault Diagnosis Based on GSC-MDRNN with Multi-Dimensional Input". Measurement Science and Technology, 4 de enero de 2023. http://dx.doi.org/10.1088/1361-6501/acb000.
Texto completoMorar, Ulyana, Harold Martin, Robin P. M., Walter Izquierdo, Elaheh Zarafshan, Parisa Forouzannezhad, Elona Unger et al. "Prediction of Cognitive Test Scores from Variable Length Multimodal Data in Alzheimer’s Disease". Cognitive Computation, 19 de julio de 2023. http://dx.doi.org/10.1007/s12559-023-10169-w.
Texto completo"Heart Transplantation in Children. Jeffrey MDunn, Richard MDonner. Futura Publishing Company, Mount Kisco, New York, 1990. 273 pp. $49.00." International Journal of Clinical Practice 44, n.º 10 (octubre de 1990): 392. http://dx.doi.org/10.1111/j.1742-1241.1990.tb10866.x.
Texto completoMachina, Venkata Siva Prasad, Sriranga Suprabhath Koduru, Sreedhar Madichetty y Sukumar Mishra. "A Novel Standalone Implementation of MDNN Controller for DC-DC Converter Resilient to Sensor Attacks- A Design Approach". IEEE Journal of Emerging and Selected Topics in Power Electronics, 2023, 1. http://dx.doi.org/10.1109/jestpe.2023.3242299.
Texto completoWang, Hong, Liqun Wang, Shufang Zhao y Xiuming Yue. "Multi-dimensional Prediction Model for Cell Traffic in City Scale". International Journal of Pattern Recognition and Artificial Intelligence, 9 de octubre de 2020, 2150010. http://dx.doi.org/10.1142/s0218001421500105.
Texto completoWang, Lei, Jian Guo, Zhuang Tian, Samuel Seery, Ye Jin y Shuyang Zhang. "Developing a Hybrid Risk Assessment Tool for Familial Hypercholesterolemia: A Machine Learning Study of Chinese Arteriosclerotic Cardiovascular Disease Patients". Frontiers in Cardiovascular Medicine 9 (3 de agosto de 2022). http://dx.doi.org/10.3389/fcvm.2022.893986.
Texto completoWu, Peiyan, Yan Jiang, Hanshuo Xing, Wenbo Song, Xin-wu Cui, Xing Long Wu y Guoping Xu. "Multimodality deep learning radiomics nomogram for preoperative prediction of malignancy of breast cancer: a multicenter study". Physics in Medicine & Biology, 31 de julio de 2023. http://dx.doi.org/10.1088/1361-6560/acec2d.
Texto completoSenthil, P. y S. Selvakumar. "A hybrid deep learning technique based integrated multi-model data fusion for forensic investigation". Journal of Intelligent & Fuzzy Systems, 25 de junio de 2022, 1–14. http://dx.doi.org/10.3233/jifs-221307.
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