E-LIB Suche - Ergebnisse für: Jiang, Yize

1

Combining physical mechanisms and deep learning models for ..:

Yan, Xing ; Guo, Yushan ; Zhang, Yue...
Journal of Environmental Management. 351 (2024) - p. 119942 , 2024

Link: https://doi.org/10.1016/..

2

Unveiling global land fine- and coarse-mode aerosol dynamic..:

Luo, Nana ; Zhang, Yue ; Jiang, Yize...
Environmental Pollution. 348 (2024) - p. 123838 , 2024

Link: https://doi.org/10.1016/..

3

Cooperative simultaneous inversion of satellite-based real-..:

Yan, Xing ; Zuo, Chen ; Li, Zhanqing...
Environmental Pollution. 327 (2023) - p. 121509 , 2023

Link: https://doi.org/10.1016/..

4

Evaluation of four meteorological reanalysis datasets for s..:

Zuo, Chen ; Chen, Jiayi ; Zhang, Yue...
Atmospheric Environment. 305 (2023) - p. 119795 , 2023

Link: https://doi.org/10.1016/..

5

Aperiodically intermittent-based filtering in sensor networ..:

Wu, Yongbao ; Jiang, Yize ; Wang, Fuyong.
Journal of the Franklin Institute. 360 (2023) 5 - p. 3618-3632 , 2023

Link: https://doi.org/10.1016/..

6

Spectral Deconvolution Algorithm for Global Fine-Mode Aeros..:

Yan, Xing ; Chen, Jiayi ; Zuo, Chen..
IEEE Transactions on Geoscience and Remote Sensing. 61 (2023) - p. 1-11 , 2023

Link: https://doi.org/10.1109/..

7

Explainable and spatial dependence deep learning model for ..:

Luo, Nana ; Zang, Zhou ; Yin, Chuan...
Atmospheric Environment. 290 (2022) - p. 119370 , 2022

Link: https://doi.org/10.1016/..

8

Real-time Face Recognition using SVM, MLP and CNN:

, In: 2022 International Conference on Big Data, Information and Computer Network (BDICN),

He, Guannan ; Jiang, Yize - p. 762-767 , 2022

Link: https://doi.org/10.1109/..

9

A global land aerosol fine-mode fraction dataset (2001–2020..:

Yan, Xing ; Zang, Zhou ; Li, Zhanqing...
Earth System Science Data. 14 (2022) 3 - p. 1193-1213 , 2022

Link: https://doi.org/10.5194/..

10

Structure-Aware Multimodal Deep Learning for Drug–Protein I..:

Wang, Penglei ; Zheng, Shuangjia ; Jiang, Yize...
Journal of Chemical Information and Modeling. 62 (2022) 5 - p. 1308-1317 , 2022

Link: https://doi.org/10.1021/..

11

A Spatial-Temporal Interpretable Deep Learning Model for im..:

Yan, Xing ; Zang, Zhou ; Jiang, Yize...
Environmental Pollution. 273 (2021) - p. 116459 , 2021

Link: https://doi.org/10.1016/..

12

Tree-based ensemble deep learning model for spatiotemporal ..:

Zang, Zhou ; Guo, Yushan ; Jiang, Yize...
International Journal of Applied Earth Observation and Geoinformation. 103 (2021) - p. 102516 , 2021

Link: https://doi.org/10.1016/..

13

New interpretable deep learning model to monitor real-time ..:

Yan, Xing ; Zang, Zhou ; Luo, Nana..
Environment International. 144 (2020) - p. 106060 , 2020

Link: https://doi.org/10.1016/..

14

A global land aerosol fine-mode fraction dataset (2001–2020..:

Yan, Xing ; Zang, Zhou ; Li, Zhanqing...
Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516. , 2022

Link: https://doi.org/10.5194/..

15

A global land aerosol fine-mode fraction dataset (2001–2020..:

Yan, Xing ; Zang, Zhou ; Li, Zhanqing...
doi:10.5194/essd-14-1193-2022. , 2022

Link: https://doi.org/10.5194/..