Runsu Zhu

Title: Innovations of Runsu Zhu in Air Quality Prediction

Introduction

Runsu Zhu is an accomplished inventor based in Wuxi, China. He has made significant contributions to the field of environmental protection through his innovative approaches to air quality prediction. His work focuses on integrating temporal and spatial data to enhance the accuracy of air quality forecasts.

Latest Patents

Runsu Zhu holds a patent for a "Deep spatial-temporal similarity method for air quality prediction." This method effectively combines the temporal changes of air pollution with spatial diffusion relationships. By selecting spatial-temporal similarity sites, the method utilizes air quality monitoring data, geographical neighbor sites, and meteorological data as inputs for a long short-term memory network (LSTM) model. The integration of support vector regression (SVR) allows for more accurate predictions of air quality-related index data.

Career Highlights

Runsu Zhu is affiliated with Jiangnan University, where he continues to advance research in environmental protection technologies. His innovative methods have garnered attention for their potential to improve air quality management and public health outcomes.

Collaborations

Runsu Zhu has collaborated with notable colleagues, including Wei Fang and Hengyang Lu. Their combined expertise contributes to the development of effective environmental solutions.

Conclusion

Runsu Zhu's innovative work in air quality prediction exemplifies the importance of integrating advanced technologies in environmental research. His contributions are paving the way for more accurate and efficient methods to monitor and predict air quality, ultimately benefiting society.