Keke Lu
Biographic Data
| ID | 9994770 |
|---|---|
| NAME | Keke Lu |
| GIVEN NAMES | Keke |
| FAMILY NAME | Lu |
| SIGNATURE | LU K |
| AFFILIATIONS | Lanzhou Jiaotong University |
| ORCID | 0009-0003-7419-5568 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A More General Lightweight Network for Urban Regional Traffic Prediction
With the increasing complexity of metropolitan management, the importance of urban regional traffic prediction has become increasingly prominent. However, existing traffic prediction models are often limited to specific regional traffic scenarios, lacking sufficient generalization ability. To address this issue, we propose a more generalizable lightweight spatiotemporal neural network (GL-STNN) for urban regional traffic prediction. By leveraging…
Internal blood lead exposure levels in permanent residents of Jiangxi Province and its effects on routine hematological and biochemical indices
Background: Lead exposure levels are closely linked to human health and can cause damage to multiple organ systems, including the blood system and liver. However, due to insufficient evidence, the effects of lead exposure on hematological and biochemical indices have not been fully established. Objective: This study aims to explore the blood lead levels of permanent residents in Jiangxi Province and analyze the factors affecting blood lead levels…
A Time-Series Study for Effects of Ozone on Respiratory Mortality and Cardiovascular Mortality in Nanchang, Jiangxi Province, China
Objective Most evidence comes from studies show that ambient ozone(O 3 ) pollution has become a big issue in China. Few studies have investigated the impact of ozone spatiotemporal patterns on respiratory mortality and cardiovascular mortality in Nanchang city. Thus, this study aimed to explore the health effect of ozone exposure on respiratory mortality and cardiovascular mortality in Nanchang, Jiangxi Province. Methods Using the daily mortality…
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A Time-Series Study for Effects of Ozone on Respiratory Mortality and Cardiovascular Mortality in Nanchang, Jiangxi Province, China
Objective Most evidence comes from studies show that ambient ozone(O 3 ) pollution has become a big issue in China. Few studies have investigated the impact of ozone spatiotemporal patterns on respiratory mortality and cardiovascular mortality in Nanchang city. Thus, this study aimed to explore the health effect of ozone exposure on respiratory mortality and cardiovascular mortality in Nanchang, Jiangxi Province. Methods Using the daily mortality…
Internal blood lead exposure levels in permanent residents of Jiangxi Province and its effects on routine hematological and biochemical indices
Background: Lead exposure levels are closely linked to human health and can cause damage to multiple organ systems, including the blood system and liver. However, due to insufficient evidence, the effects of lead exposure on hematological and biochemical indices have not been fully established. Objective: This study aims to explore the blood lead levels of permanent residents in Jiangxi Province and analyze the factors affecting blood lead levels…
A More General Lightweight Network for Urban Regional Traffic Prediction
With the increasing complexity of metropolitan management, the importance of urban regional traffic prediction has become increasingly prominent. However, existing traffic prediction models are often limited to specific regional traffic scenarios, lacking sufficient generalization ability. To address this issue, we propose a more generalizable lightweight spatiotemporal neural network (GL-STNN) for urban regional traffic prediction. By leveraging…
Environmental health (2 works) · Medicine (2 works) · Advanced Data and IoT Technologies (1 work) · Air Quality and Health Impacts (1 work) · Biology (1 work) · China (1 work) · Climate Change and Health Impacts (1 work) · Convolutional neural network (1 work) · Geography (1 work) · Graph (1 work)