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2020 – today
- 2024
[j28]Arif Masrur, Manzhu Yu, Alan Taylor:
Capturing and interpreting wildfire spread dynamics: attention-based spatiotemporal models using ConvLSTM networks. Ecol. Informatics 82: 102760 (2024)- [j27]Mingda Wu
, Qunying Huang, Tang Sui, Bo Peng, Manzhu Yu:
A Remote Sensing Spectral Index Guided Bitemporal Residual Attention Network for Wildfire Burn Severity Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17187-17206 (2024) - [i2]Shaowei Ying, Zhenlong Li, Manzhu Yu:
Beyond Words: Evaluating Large Language Models in Transportation Planning. CoRR abs/2409.14516 (2024) - 2023
- [j26]Zongqian Zhan, Li Zheng, Minglu Wei, Manzhu Yu, Wenjie Jian:
Aerial Image Color Balancing Based on Rank-Deficient Free Network. IEEE Access 11: 18838-18854 (2023) - [j25]Mingyue Lu, Yuchen Li, Manzhu Yu, Qian Zhang, Yadong Zhang, Bin Liu, Menglong Wang:
Spatiotemporal Prediction of Radar Echoes Based on ConvLSTM and Multisource Data. Remote. Sens. 15(5): 1279 (2023) - 2022
- [j24]Jingchao Yang, Manzhu Yu, Qian Liu, Yun Li, Daniel Q. Duffy, Chaowei Yang:
A high spatiotemporal resolution framework for urban temperature prediction using IoT data. Comput. Geosci. 159: 104991 (2022) - [j23]Arif Masrur, Manzhu Yu, Prasenjit Mitra, Donna J. Peuquet, Alan Taylor:
Interpretable machine learning for analysing heterogeneous drivers of geographic events in space-time. Int. J. Geogr. Inf. Sci. 36(4): 692-719 (2022) - [j22]Mingyue Lu, Yadong Zhang, Min Chen, Manzhu Yu, Menglong Wang:
Monitoring Lightning Location Based on Deep Learning Combined with Multisource Spatial Data. Remote. Sens. 14(9): 2200 (2022) - 2021
- [j21]Manzhu Yu, Fangcao Xu, Weiming Hu, Jian Sun, Guido Cervone:
Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for Localized Surface Temperature Forecasting in an Urban Environment. IEEE Access 9: 137406-137418 (2021) - [j20]Christopher Scheele, Manzhu Yu, Qunying Huang:
Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features. Int. J. Digit. Earth 14(11): 1721-1743 (2021) - [j19]Mingyue Lu, Tengfei Lao, Manzhu Yu, Yadong Zhang, Jianqin Zheng, Yuchen Li:
PM2.5 Concentration Forecasting over the Central Area of the Yangtze River Delta Based on Deep Learning Considering the Spatial Diffusion Process. Remote. Sens. 13(23): 4834 (2021) - [i1]Manzhu Yu, Fangcao Xu, Weiming Hu, Jian Sun, Guido Cervone:
Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment. CoRR abs/2102.02892 (2021) - 2020
- [j18]Chaowei Yang, Dexuan Sha, Qian Liu, Yun Li, Hai Lan, Weihe Wendy Guan, Tao Hu, Zhenlong Li, Zhiran Zhang, John Hoot Thompson, Zifu Wang, David W. S. Wong, Shiyang Ruan, Manzhu Yu, Douglas Richardson, Luyao Zhang, Ruizhi Hou, You Zhou, Cheng Zhong, Yifei Tian, Fayez Beaini, Kyla Carte, Colin Flynn, Wei Liu, Dieter Pfoser, Shuming Bao, Mei Li, Haoyuan Zhang, Chunbo Liu, Jie Jiang, Shihong Du, Liang Zhao, Mingyue Lu, Lin Li, Huan Zhou, Andrew Ding:
Taking the pulse of COVID-19: a spatiotemporal perspective. Int. J. Digit. Earth 13(10): 1186-1211 (2020) - [j17]Manzhu Yu, Myra Bambacus, Guido Cervone, Keith C. Clarke, Daniel Q. Duffy, Qunying Huang, Jing Li, Wenwen Li, Zhenlong Li, Qian Liu, Bernd Resch, Jingchao Yang, Chaowei Yang:
Spatiotemporal event detection: a review. Int. J. Digit. Earth 13(12): 1339-1365 (2020) - [j16]Yun Li, Yongyao Jiang, Chaowei Yang, Manzhu Yu, Lara Kamal, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney:
Improving search ranking of geospatial data based on deep learning using user behavior data. Comput. Geosci. 142: 104520 (2020) - [j15]Manzhu Yu:
A Graph-Based Spatiotemporal Data Framework for 4D Natural Phenomena Representation and Quantification-An Example of Dust Events. ISPRS Int. J. Geo Inf. 9(2): 127 (2020) - [j14]Mengchao Xu, Qian Liu, Dexuan Sha, Manzhu Yu, Daniel Q. Duffy, William M. Putman, Mark Carroll, Tsengdar Lee, Chaowei Yang:
PreciPatch: A Dictionary-based Precipitation Downscaling Method. Remote. Sens. 12(6): 1030 (2020) - [c1]Manzhu Yu, Julie Bessac, Ling Xu, Aryya Gangopadhyay, Yingxi Rona Shi, Jianwu Wang:
Image Segmentation for Dust Detection Using Semi-supervised Machine Learning. IEEE BigData 2020: 1745-1754
2010 – 2019
- 2019
- [j13]Ishan Shams, Yun Li, Jingchao Yang, Manzhu Yu, Chaowei Yang, Myra Bambacus, Ruthan Lewis, Joseph A. Nuth, Luke Oman, Ronald Leung, Bernard D. Seery, Catherine Plesko, Kevin C. Greenaugh, Megan B. Syal:
Planetary Defense Mitigation Gateway: A One-Stop Gateway for Pertinent PD-Related Contents. Data 4(2): 47 (2019) - [j12]Manzhu Yu, Qunying Huang, Han Qin, Chris Scheele, Chaowei Yang:
Deep learning for real-time social media text classification for situation awareness - using Hurricanes Sandy, Harvey, and Irma as case studies. Int. J. Digit. Earth 12(11): 1230-1247 (2019) - [j11]Jingchao Yang, Manzhu Yu, Han Qin, Mingyue Lu, Chaowei Yang:
A Twitter Data Credibility Framework - Hurricane Harvey as a Use Case. ISPRS Int. J. Geo Inf. 8(3): 111 (2019) - [j10]Li Zheng, Yuhao Li, Meng Sun, Zheng Ji, Manzhu Yu, Qingbo Shu:
Non-Rigid Vehicle-Borne LiDAR-Assisted Aerotriangulation. Remote. Sens. 11(10): 1188 (2019) - [j9]Qian Liu, Yun Li, Manzhu Yu, Long Sang Chiu, Xianjun Hao, Daniel Q. Duffy, Chaowei Yang:
Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images. Remote. Sens. 11(21): 2555 (2019) - [j8]Zheng Ji, Yifan Liao, Li Zheng, Liang Wu, Manzhu Yu, Yanjie Feng:
An Assembled Detector Based on Geometrical Constraint for Power Component Recognition. Sensors 19(16): 3517 (2019) - 2018
- [j7]Manzhu Yu, Chaowei Yang, Baoxuan Jin:
A framework for natural phenomena movement tracking - Using 4D dust simulation as an example. Comput. Geosci. 121: 53-66 (2018) - [j6]Li Zheng, Meng Sun, Yuejun Luo, Xiangbo Song, Chaowei Yang, Fei Hu, Manzhu Yu:
Utilizing MapReduce to Improve Probe-Car Track Data Mining. ISPRS Int. J. Geo Inf. 7(7): 287 (2018) - 2017
- [j5]Jing Li, Tong Zhang, Qing Liu, Manzhu Yu:
Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach. Int. J. Geogr. Inf. Sci. 31(1) (2017) - [j4]Manzhu Yu, Chaowei Yang:
A 3D multi-threshold, region-growing algorithm for identifying dust storm features from model simulations. Int. J. Geogr. Inf. Sci. 31(5): 939-961 (2017) - [j3]Chaowei Yang, Manzhu Yu, Fei Hu, Yongyao Jiang, Yun Li:
Utilizing Cloud Computing to address big geospatial data challenges. Comput. Environ. Urban Syst. 61: 120-128 (2017) - 2016
- [j2]Li Zheng, Manzhu Yu, Mengxiao Song, Anthony Stefanidis, Zheng Ji, Chaowei Yang:
Registration of Long-Strip Terrestrial Laser Scanning Point Clouds Using RANSAC and Closed Constraint Adjustment. Remote. Sens. 8(4): 278 (2016) - 2015
- [j1]Jizhe Xia, Chaowei Phil Yang, Kai Liu, Zhenglong Li, Min Sun, Manzhu Yu:
Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services. Int. J. Geogr. Inf. Sci. 29(3): 375-396 (2015)
Coauthor Index
aka: Chaowei Yang
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