Search Results - "Huang, Qunying"
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Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery
Published in ISPRS international journal of geo-information (01-09-2015)“…Social media data have emerged as a new source for detecting and monitoring disaster events. A number of recent studies have suggested that social media data…”
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Big Data and cloud computing: innovation opportunities and challenges
Published in International journal of digital earth (02-01-2017)“…Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support…”
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Understanding social media data for disaster management
Published in Natural hazards (Dordrecht) (01-12-2015)“…Social media data are increasingly being used in disaster management for information dissemination, establishment of situational awareness of the “big picture”…”
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Deep learning for real-time social media text classification for situation awareness - using Hurricanes Sandy, Harvey, and Irma as case studies
Published in International journal of digital earth (02-11-2019)“…Social media platforms have been contributing to disaster management during the past several years. Text mining solutions using traditional machine learning…”
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Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us?
Published in International journal of geographical information science : IJGIS (01-09-2016)“…Individual activity patterns are influenced by a wide variety of factors. The more important ones include socioeconomic status (SES) and urban spatial…”
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Patch Similarity Convolutional Neural Network for Urban Flood Extent Mapping Using Bi-Temporal Satellite Multispectral Imagery
Published in Remote sensing (Basel, Switzerland) (01-11-2019)“…Urban flooding is a major natural disaster that poses a serious threat to the urban environment. It is highly demanded that the flood extent can be mapped in…”
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A cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data
Published in Computers, environment and urban systems (01-11-2017)“…Social media streams and remote sensing data have emerged as new sources for tracking disaster events, and assessing their damages. Previous studies focus on a…”
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Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data
Published in Scientific reports (21-09-2022)“…Individual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for…”
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Mixed land use measurement and mapping with street view images and spatial context-aware prompts via zero-shot multimodal learning
Published in International journal of applied earth observation and geoinformation (01-12-2023)“…Traditional overhead imagery techniques for urban land use detection and mapping often lack the precision needed for accurate, fine-grained analysis,…”
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Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach
Published in Remote sensing (Basel, Switzerland) (01-09-2023)“…Over the past few years, there has been extensive exploration of machine learning (ML), especially deep learning (DL), for crop yield prediction, resulting in…”
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BiAU-Net: Wildfire burnt area mapping using bi-temporal Sentinel-2 imagery and U-Net with attention mechanism
Published in International journal of applied earth observation and geoinformation (01-08-2024)“…The fusion of remote sensing and artificial intelligence, particularly deep learning, offers substantial opportunities for developing innovative methods in…”
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Deep learning for spatiotemporal forecasting in Earth system science: a review
Published in International journal of digital earth (31-12-2024)“…Deep learning (DL) has demonstrated strong potential in addressing key challenges in spatiotemporal forecasting across various Earth system science (ESS)…”
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Human movement patterns of different racial-ethnic and economic groups in U.S. top 50 populated cities: What can social media tell us about isolation?
Published in Annals of GIS (03-04-2022)“…Many studies have proven that human movement patterns are strongly impacted by individual socioeconomic and demographic background. While many efforts have…”
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A quick screening approach for design of multi-principal element alloy with solid solution phase
Published in Materials & design (05-10-2019)“…Multi-principal element alloys (MPEAs) have wide promising applications. However, the composition design of MPEAs is challenging due to their vast options and…”
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Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features
Published in International journal of digital earth (02-11-2021)“…To find disaster relevant social media messages, current approaches utilize natural language processing methods or machine learning algorithms relying on text…”
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Using spatial principles to optimize distributed computing for enabling the physical science discoveries
Published in Proceedings of the National Academy of Sciences - PNAS (05-04-2011)“…Contemporary physical science studies rely on the effective analyses of geographically dispersed spatial data and simulations of physical phenomena. Single…”
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Influences of Modified Sm2O3 on Thermal Stability, Mechanical and Neutron Shielding Properties of Aminophenol Trifunctional Epoxy Resin
Published in Polymers (08-02-2022)“…The requirements regarding the weight and capacity reduction of neutron shielding materials have become an urgent issue for advanced nuclear facilities and…”
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Near Real-Time Flood Mapping with Weakly Supervised Machine Learning
Published in Remote sensing (Basel, Switzerland) (01-07-2023)“…Advances in deep learning and computer vision are making significant contributions to flood mapping, particularly when integrated with remotely sensed data…”
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Spatiotemporal event detection: a review
Published in International journal of digital earth (01-12-2020)“…The advancements of sensing technologies, including remote sensing, in situ sensing, social sensing, and health sensing, have tremendously improved our…”
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Disaster Image Classification by Fusing Multimodal Social Media Data
Published in ISPRS international journal of geo-information (01-10-2021)“…Social media datasets have been widely used in disaster assessment and management. When a disaster occurs, many users post messages in a variety of formats,…”
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