Manzhu Yu

According to our database1, Manzhu Yu authored at least 28 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Spatiotemporal Prediction of Radar Echoes Based on ConvLSTM and Multisource Data.
Remote. Sens., March, 2023

Aerial Image Color Balancing Based on Rank-Deficient Free Network.
IEEE Access, 2023

2022
Monitoring Lightning Location Based on Deep Learning Combined with Multisource Spatial Data.
Remote. Sens., 2022

Interpretable machine learning for analysing heterogeneous drivers of geographic events in space-time.
Int. J. Geogr. Inf. Sci., 2022

A high spatiotemporal resolution framework for urban temperature prediction using IoT data.
Comput. Geosci., 2022

2021
PM2.5 Concentration Forecasting over the Central Area of the Yangtze River Delta Based on Deep Learning Considering the Spatial Diffusion Process.
Remote. Sens., 2021

Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features.
Int. J. Digit. Earth, 2021

Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment.
CoRR, 2021

Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for Localized Surface Temperature Forecasting in an Urban Environment.
IEEE Access, 2021

2020
PreciPatch: A Dictionary-based Precipitation Downscaling Method.
Remote. Sens., 2020

A Graph-Based Spatiotemporal Data Framework for 4D Natural Phenomena Representation and Quantification-An Example of Dust Events.
ISPRS Int. J. Geo Inf., 2020

Improving search ranking of geospatial data based on deep learning using user behavior data.
Comput. Geosci., 2020

Spatiotemporal event detection: a review.
Int. J. Digit. Earth, 2020

Taking the pulse of COVID-19: a spatiotemporal perspective.
Int. J. Digit. Earth, 2020

Image Segmentation for Dust Detection Using Semi-supervised Machine Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
An Assembled Detector Based on Geometrical Constraint for Power Component Recognition.
Sensors, 2019

Non-Rigid Vehicle-Borne LiDAR-Assisted Aerotriangulation.
Remote. Sens., 2019

Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images.
Remote. Sens., 2019

A Twitter Data Credibility Framework - Hurricane Harvey as a Use Case.
ISPRS Int. J. Geo Inf., 2019

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, 2019

Planetary Defense Mitigation Gateway: A One-Stop Gateway for Pertinent PD-Related Contents.
Data, 2019

2018
Utilizing MapReduce to Improve Probe-Car Track Data Mining.
ISPRS Int. J. Geo Inf., 2018

A framework for natural phenomena movement tracking - Using 4D dust simulation as an example.
Comput. Geosci., 2018

2017
Utilizing Cloud Computing to address big geospatial data challenges.
Comput. Environ. Urban Syst., 2017

A 3D multi-threshold, region-growing algorithm for identifying dust storm features from model simulations.
Int. J. Geogr. Inf. Sci., 2017

Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach.
Int. J. Geogr. Inf. Sci., 2017

2016
Registration of Long-Strip Terrestrial Laser Scanning Point Clouds Using RANSAC and Closed Constraint Adjustment.
Remote. Sens., 2016

2015
Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services.
Int. J. Geogr. Inf. Sci., 2015


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