Manzhu Yu
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View article: Lipid-based nanosystems for atherosclerosis treatment: Evolving approaches and novel therapeutic strategies
Lipid-based nanosystems for atherosclerosis treatment: Evolving approaches and novel therapeutic strategies Open
View article: The role of genetic polymorphisms on drug response in Alzheimer’s disease: a systematic review
The role of genetic polymorphisms on drug response in Alzheimer’s disease: a systematic review Open
View article: SIM: A mapping framework for built environment auditing based on street view imagery
SIM: A mapping framework for built environment auditing based on street view imagery Open
Built environment auditing refers to the systematic documentation and assessment of urban and rural spaces' physical, social, and environmental characteristics, such as walkability, road conditions, and traffic lights. It is used to collec…
View article: Lightning identification based on multiple weather radar product data
Lightning identification based on multiple weather radar product data Open
Lightning, with its extremely high energy level, can cause fires and power outages and pose a significant risk to people and infrastructure. However, predicting lightning remains challenging. The occurrence and development of lightning are…
View article: ER-MACG: An Extreme Precipitation Forecasting Model Integrating Self-Attention Based on FY4A Satellite Data
ER-MACG: An Extreme Precipitation Forecasting Model Integrating Self-Attention Based on FY4A Satellite Data Open
Extreme precipitation events often present significant risks to human life and property, making their accurate prediction an essential focus of current research. Recent studies have primarily concentrated on exploring the formation mechani…
View article: Deep learning for spatiotemporal forecasting in Earth system science: a review
Deep learning for spatiotemporal forecasting in Earth system science: a review Open
Deep learning (DL) has demonstrated strong potential in addressing key challenges in spatiotemporal forecasting across various Earth system science (ESS) domains. This review examines 69 studies applying DL to forecasting tasks within clim…
View article: Capturing and interpreting wildfire spread dynamics: attention-based spatiotemporal models using ConvLSTM networks
Capturing and interpreting wildfire spread dynamics: attention-based spatiotemporal models using ConvLSTM networks Open
Predicting the trajectory of geographical events, such as wildfire spread, presents a formidable task due to the dynamic associations among influential biophysical factors. Geo-events like wildfires frequently display short and long-range …
View article: Er-Macg: An Extreme Precipitation Forecasting Model Integrating Self-Attention Based on Fy4a Satellite Data
Er-Macg: An Extreme Precipitation Forecasting Model Integrating Self-Attention Based on Fy4a Satellite Data Open
View article: Volumes and Space-Time Volumes
Volumes and Space-Time Volumes Open
View article: Deciphering Wildfire Spread Dynamics: Attention-Based Spatiotemporal Models Using Convlstm Networks
Deciphering Wildfire Spread Dynamics: Attention-Based Spatiotemporal Models Using Convlstm Networks Open
View article: A Remote Sensing Spectral Index Guided Bitemporal Residual Attention Network for Wildfire Burn Severity Mapping
A Remote Sensing Spectral Index Guided Bitemporal Residual Attention Network for Wildfire Burn Severity Mapping Open
Wildfires cause substantial damage and present considerable risks to both natural ecosystem and human societies. A precise and prompt evaluation of wildfire-induced damage is crucial for effective postfire management and restoration. Consi…
View article: Assessing the 2023 Canadian Wildfire Smoke Impact in Northeastern Us: Air Quality, Exposure and Environmental Justice
Assessing the 2023 Canadian Wildfire Smoke Impact in Northeastern Us: Air Quality, Exposure and Environmental Justice Open
View article: Er-Macg: An Extreme Precipitation Forecasting Model Integrating Self-Attention Based on Fy4a Satellite Data
Er-Macg: An Extreme Precipitation Forecasting Model Integrating Self-Attention Based on Fy4a Satellite Data Open
View article: Environmental Assessment and Monitoring of Heavy Metals in New York City Potable Water Systems: Case Study at Medgar Evers College, Correlation Analysis, and Public Health Impacts
Environmental Assessment and Monitoring of Heavy Metals in New York City Potable Water Systems: Case Study at Medgar Evers College, Correlation Analysis, and Public Health Impacts Open
Reinforced by this study, New York City has one of the cleanest water systems in the world. Medgar Evers College (MEC) serves 7000 students/1050 faculty/staff. Given that: (1) students/faculty/staff spend 20–30% of their daily time there; …
View article: Developing high-resolution PM2.5 exposure models by integrating low-cost sensors, automated machine learning, and big human mobility data
Developing high-resolution PM2.5 exposure models by integrating low-cost sensors, automated machine learning, and big human mobility data Open
Introduction: Traditional methods to estimate exposure to PM 2.5 (particulate matter with less than 2.5 µm in diameter) have typically relied on limited regulatory monitors and do not consider human mobility and travel. However, the limite…
View article: Spatiotemporal Prediction of Radar Echoes Based on ConvLSTM and Multisource Data
Spatiotemporal Prediction of Radar Echoes Based on ConvLSTM and Multisource Data Open
Accurate and timely precipitation forecasts can help people and organizations make informed decisions, plan for potential weather-related disruptions, and protect lives and property. Instead of using physics-based numerical forecasts, whic…
View article: Impact of Heat on Emergency Hospital Admissions Related to Kidney Diseases in Texas: Uncovering Racial Disparities
Impact of Heat on Emergency Hospital Admissions Related to Kidney Diseases in Texas: Uncovering Racial Disparities Open
View article: Mcgln: A Multimodal Convlstm-Gan Framework for Lightning Nowcasting Utilizing Multi-Source Spatiotemporal Data
Mcgln: A Multimodal Convlstm-Gan Framework for Lightning Nowcasting Utilizing Multi-Source Spatiotemporal Data Open
View article: Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method
Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method Open
Background The COVID-19 Delta variant has presented an unprecedented challenge to countries in Southeast Asia (SEA). Its transmission has shown spatial heterogeneity in SEA after countries have adopted different public health interventions…
View article: Monitoring Lightning Location Based on Deep Learning Combined with Multisource Spatial Data
Monitoring Lightning Location Based on Deep Learning Combined with Multisource Spatial Data Open
Lightning is an important cause of casualties, and of the interruption of power supply and distribution facilities. Monitoring lightning locations is essential in disaster prevention and mitigation. Although there are many ways to obtain l…
View article: Interpretable machine learning for analysing heterogeneous drivers of geographic events in space-time
Interpretable machine learning for analysing heterogeneous drivers of geographic events in space-time Open
Machine learning (ML) interpretability has become increasingly crucial for identifying accurate and relevant structural relationships between spatial events and factors that explain them. Methodologically aspatial ML algorithms with an app…
View article: A Vision Transformer for Lightning Intensity Estimation Using 3d Weather Radar
A Vision Transformer for Lightning Intensity Estimation Using 3d Weather Radar Open
View article: Spatiotemporal patterns and progression of the Delta variant of COVID-19 and their health intervention linkages in Southeast Asia
Spatiotemporal patterns and progression of the Delta variant of COVID-19 and their health intervention linkages in Southeast Asia Open
The global pandemic of COVID-19 presented an unprecedented challenge to all countries in the world, among which Southeast Asia (SEA) countries managed to maintain and mitigate the first wave of COVID-19 in 2020. However, these countries we…
View article: Spatiotemporal patterns and progression of the Delta variant of COVID-19 and their health intervention linkages in Southeast Asia (Preprint)
Spatiotemporal patterns and progression of the Delta variant of COVID-19 and their health intervention linkages in Southeast Asia (Preprint) Open
BACKGROUND The Delta variant of COVID-19 has presented an unprecedented challenge to Southeast Asia (SEA) countries. Its transmission had shown spatial heterogeneity in SEA after countries adopted different public health interventions dur…
View article: PM2.5 Concentration Forecasting over the Central Area of the Yangtze River Delta Based on Deep Learning Considering the Spatial Diffusion Process
PM2.5 Concentration Forecasting over the Central Area of the Yangtze River Delta Based on Deep Learning Considering the Spatial Diffusion Process Open
Precise PM2.5 concentration forecasting is significant to environmental management and human health. Researchers currently add various parameters to deep learning models for PM2.5 concentration forecasting, but most of them ignore the prob…
View article: A Quantitative Method for the Similarity Assessment of Typhoon Tracks
A Quantitative Method for the Similarity Assessment of Typhoon Tracks Open
Typhoons are one of the most dangerous types of natural hazards; they are always developed in the western and southwestern Pacific Ocean and pose economic and human security threats to the Pacific Rim annually. Therefore, many scholars in …
View article: Interpretable machine learning for analysing heterogeneous drivers of geographic events in space-time
Interpretable machine learning for analysing heterogeneous drivers of geographic events in space-time Open
Final version: https://doi.org/10.1080/13658816.2021.1965608 ABSTRACT: Machine learning (ML) interpretability has become increasingly crucial for identifying accurate and relevant structural relationships between spatial events and factors…
View article: Aerial Image Color Balancing Based on Rank-Deficient Free Network
Aerial Image Color Balancing Based on Rank-Deficient Free Network Open
In the process of digital image acquisition, color inconsistency is a common issue due to the influence of photographic conditions. The inconsistency of color affects the quality of digital orthophoto products and subsequent applications s…
View article: Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features
Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features Open
To find disaster relevant social media messages, current approaches utilize natural language processing methods or machine learning algorithms relying on text only, which have not been perfected due to the variability and uncertainty in th…
View article: Lightning Strike Location Identification Based on 3D Weather Radar Data
Lightning Strike Location Identification Based on 3D Weather Radar Data Open
Lightning is an instantaneous, intense, and convective weather phenomenon that can produce great destructive power and easily cause serious economic losses and casualties. It always occurs in convective storms with small spatial scales and…