Deep Mining 2024, held in Montreal, Canada, was well-attended with over 310 delegates present for the high quality presentations and networking opportunities. See below for a breakdown of attendees by country of origin. ACG Online Repository of Conference Proceedings ...
Wang, M., et al.: Optimizing deep transfer networks with fruit fly optimization for accurate diagnosis of diabetic retinopathy. Appl. Soft Comput. 147, 110782 (2023) MATH Google Scholar Gao, R., et al.: NSGA-III-SD based Fuzzy energy management system optimization for lithium battery/superc...
Papalexakis EE, Faloutsos C, Sidiropoulos ND (2016) Tensors for data mining and data fusion: models, applications, and scalable algorithms. ACM Trans Intell Syst Technol (TIST) 8(2):1–44 4. Lin C, Qiu C, Jiang H, Zou L (2023) A deep neural network based on prior-driven and ...
With the advancement of deep learning technology, end-to-end methods (Schlemper et al., 2017;Wang et al., 2016;Ronneberger et al., 2015;Jin et al., 2017) have been widely applied in the reconstruction of single-contrast MR images. The Convolutional neural networks (CNN) leverage their l...
Shearing results show in detail, for the first time the distinctive coupled contraction/extension pattern predicted from theoretical studies. A further test was conducted to determine the strain profile along a D-Bolt.A.J. Hyett YieldPoint IncF.C. Charrette Normet Canada...
M Qiu,Z Tan,BK Bao - 《Data Mining & Knowledge Discovery》 被引量: 0发表: 2024年 An interpretable 3D multi-hierarchical representation-based deep neural network for environmental, health and safety properties prediction of organic solvents The interpretability and accuracy of deep-learning-based pre...
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