A5100378831- Advancements in Battery Materials
- Remote Sensing and Land Use
- Extraction and Separation Processes
- Recycling and Waste Management Techniques
- Advanced Nanomaterials in Catalysis
- Supercapacitor Materials and Fabrication
- Speech and Audio Processing
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Electrochemical Analysis and Applications
- Air Quality Monitoring and Forecasting
- Climate variability and models
- Electrochemical sensors and biosensors
- Arctic and Antarctic ice dynamics
- Advanced Battery Materials and Technologies
- Underwater Acoustics Research
- Aerodynamics and Acoustics in Jet Flows
- Meteorological Phenomena and Simulations
Nanjing University of Information Science and Technology
2022-2024
China Meteorological Administration
2023
Abstract Explosively increased market penetration of lithium‐ion batteries (LIBs) in electric vehicles, consumer electronics, and stationary energy storage devices has recently aroused new concerns on nonrenewable metal resources environmental pollution because the forthcoming wave retired popularized LIBs. Recycling LIBs an environmentally sustainable cost‐effective way thus becomes much urgent imperative. As a preferable route, direct regeneration strategy been innovatively proposed to...
In recent years, ozone and PM2.5 pollution has often occured in the Fenwei Plain due to heavy emission favorable geographical conditions. this study, we used weather research forecasting/chemistry (WRF-Chem) model reproduce complex air of (FWP) from 20 May 29 2015. By comparing simulation results with observed data, found that although some cities there was a bias between simulated values captured trend pollutants generally. Moreover, according assessment parameters, validated deviations are...
Zero-shot remote sensing scene classification refers to making the model have ability identify unseen class scenes based on seen scenes, and has become a research hotspot in field of sensing. Contemporary approaches zero-shot primarily focus extracting global information from neglecting nuanced local landscape features. This oversight diminishes discriminative capabilities recognition models. Furthermore, these methods overlook semantic relevance between training, leading reduced emphasis...
Abstract Deep learning techniques for radar echo extrapolation and prediction have become crucial short-term precipitation forecasts in recent years. As the leading time extends, intensity attenuates increasingly, forecast performance on strong echoes declines rapidly. These are two typical characteristics contributing to current inaccurate results of extrapolation. To this end, we propose a novel diffusion (DiffREE) algorithm driven by frames study. This deeply integrates spatio-temporal...