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DNN-VolVis: Interactive Volume Visualization Supported by Deep Neural Network
2019 IEEE Pacific Visualization Symposium (PacificVis), 2019In this work, we propose a novel approach of volume visualization without explicit traditional rendering pipeline. In our proposed method, volumetric images can be interactively ‘reversed’ given the volumetric data and a static volume rendered image under the desired rendering effect.
Fan Hong, Can Liu 0004, Xiaoru Yuan
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Residential Load Forecasting Using Deep Neural Networks (DNN)
2018 North American Power Symposium (NAPS), 2018Forecasting of consumer electricity usages plays an important role to make total smart grid system more reliable. As the activities of individual residential consumers has many uncertain variables, it is hard to accurately forecast the residential load levels.
Tareq Hossen +3 more
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Deep Neural Network for DrawiNg Networks, $${(DNN)^{\textit{2}\,}} $$
2021Loann Giovannangeli +4 more
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Track C1: Safety Verification of Deep Neural Networks (DNNs)
2023Daniel Neider, Taylor T. Johnson
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RQ-DNN: Reliable Quantization for Fault-tolerant Deep Neural Networks
2023 60th ACM/IEEE Design Automation Conference (DAC), 2023Insu Choi +3 more
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