Articoli con mandati relativi all'accesso pubblico - Dali WangUlteriori informazioni
Disponibili pubblicamente: 56
DeepWelding: A deep learning enhanced approach to GTAW using multisource sensing images
Z Feng, Y., Chen, Z., Wang*, D., Chen, J., & Feng
IEEE Transactions on Industrial Informatics,, 2019
Mandati: US Department of Energy
Resiliency-based restoration optimization for dependent network systems against cascading failures
J Zhou, DW Coit, FA Felder, D Wang
Reliability Engineering & System Safety 207, 107383, 2021
Mandati: US Department of Energy, National Natural Science Foundation of China
Deep reinforcement learning of cell movement in the early stage of C.elegans embryogenesis
Z Wang, D Wang, C Li, Y Xu, H Li, Z Bao
Bioinformatics 34 (18), 3169-3177, 2018
Mandati: US Department of Energy, US National Institutes of Health
Cellular structure image classification with small targeted training samples
D Wang, Z Lu, Y Xu, Z Wang, A Santella, Z Bao
IEEE Access 7, 148967-148974, 2019
Mandati: US Department of Energy, US National Institutes of Health
A scientific function test framework for modular environmental model development: application to the community land model
D Wang, T Janjusic, C Iversen, P Thornton, M Karssovski, W Wu, Y Xu
2015 IEEE/ACM 1st International Workshop on Software Engineering for High …, 2015
Mandati: US Department of Energy
Hierarchical deep reinforcement learning reveals a modular mechanism of cell movement
Z Wang, Y Xu, D Wang, J Yang, Z Bao
Nature machine intelligence 4 (1), 73-83, 2022
Mandati: US Department of Energy, US National Institutes of Health
Predicting nugget size of resistance spot welds using infrared thermal videos with image segmentation and convolutional neural network
S Guo, D Wang, J Chen, Z Feng, WG Guo
Journal of Manufacturing Science and Engineering 144 (2), 021009, 2022
Mandati: US Department of Energy
An Observation-Driven Agent-Based Modeling and Analysis Framework for C. elegans Embryogenesis
Z Wang, BJ Ramsey, D Wang, K Wong, H Li, E Wang, Z Bao
PloS one 11 (11), e0166551, 2016
Mandati: US Department of Energy, US National Institutes of Health
OpenGraphGym: A parallel reinforcement learning framework for graph optimization problems
W Zheng, D Wang, F Song
International conference on computational science, 439-452, 2020
Mandati: US Department of Energy
Robotic understanding of spatial relationships using neural-logic learning
F Yan, D Wang, H He
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Mandati: US Department of Energy
Geometrically matched multi-source microscopic image synthesis using bidirectional adversarial networks
J Zhuang, D Wang
Proceedings of 2021 International Conference on Medical Imaging and Computer …, 2022
Mandati: US Department of Energy, US National Institutes of Health
Autonomous nondestructive evaluation of resistance spot welded joints
J Zhou, D Wang, J Chen, Z Feng, B Clarson, A Baselhuhn
Robotics and Computer-Integrated Manufacturing 72, 102183, 2021
Mandati: US Department of Energy
Towards efficient convolutional neural networks through low-error filter saliency estimation
Z Wang, C Li, X Wang, D Wang
PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019
Mandati: US Department of Energy
In situ data infrastructure for scientific unit testing platform
Z Yao, Y Jia, D Wang, C Steed, S Atchley
Procedia Computer Science 80, 587-598, 2016
Mandati: US Department of Energy
AS pace‐T ime Raster GIS Data Model for Spatiotemporal Analysis of Vegetation Responses to a Freeze Event
Z Zhao, SL Shaw, D Wang
Transactions in GIS 19 (1), 151-168, 2015
Mandati: US Department of Energy
High-performance computing for earth system modeling
D Wang, F Yuan
High Performance Computing for Geospatial Applications, 175-184, 2020
Mandati: US Department of Energy
Development of mpi_EPIC model for global agroecosystem modeling
S Kang, D Wang, JA Nichols, J Schuchart, KL Kline, Y Wei, DM Ricciuto, ...
Computers and Electronics in Agriculture 111, 48-54, 2015
Mandati: US Department of Energy
Optimization of stepwise clustering algorithm in backward trajectory analysis
C Fang, J Gao, D Wang, D Wang, J Wang
Neural Computing and Applications 32, 109-115, 2020
Mandati: US Department of Energy
Xscan: an integrated tool for understanding open source community-based scientific code
W Zheng, D Wang, F Song
International Conference on Computational Science, 226-237, 2019
Mandati: US Department of Energy
Cell neighbor determination in the metazoan embryo system
Z Wang, D Wang, H Li, Z Bao
Proceedings of the 8th ACM international conference on bioinformatics …, 2017
Mandati: US National Institutes of Health
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