A5114949799- Remote Sensing and Land Use
- Environmental Changes in China
- Environmental and Agricultural Sciences
- Hydrological Forecasting Using AI
- Ocean Waves and Remote Sensing
- Tropical and Extratropical Cyclones Research
- Building materials and conservation
- Oceanographic and Atmospheric Processes
- Climate variability and models
- Glass properties and applications
- Educational Systems and Policies
- Nuclear physics research studies
- Particle Detector Development and Performance
- Astrophysics and Cosmic Phenomena
- Advanced Sensor and Control Systems
- Nuclear Physics and Applications
- Atomic and Subatomic Physics Research
- Energy Load and Power Forecasting
- Advanced Algorithms and Applications
- Aerogels and thermal insulation
- Auditing, Earnings Management, Governance
- Meteorological Phenomena and Simulations
- Particle physics theoretical and experimental studies
Institute of Software
2025
Chinese Academy of Sciences
2025
Nanjing University of Information Science and Technology
2025
Zhejiang Ocean University
2022-2023
China Building Materials Academy
2023
Ocean University of China
2023
Henan Normal University
2009
Deep learning methods have excellent prospects for application in wave forecasting research. This study employed the convolutional LSTM (ConvLSTM) algorithm to predict South China Sea (SCS) significant height (SWH). Three prediction models were established investigate influences of setting different parameters and using multiple training data on effects. Compared with SWH from China–France Ocean Satellite (CFOSAT), WAVEWATCH III (WWIII) pacific islands ocean observing system are accurate...
This paper focuses mainly on the vertex reconstruction of resonance particles with a relatively long lifetime such as K0S, Λ, well measurements using 3-dimensional fit. The kinematic constraints between production and decay vertices fitting algorithm based least squares method are both presented. Reconstruction efficiencies including experimental resolutions discussed. results systematic errors calculated Monte Carlo simulation.
Abstract Transmission system is an important part of rail vehicles. Its operation safety great significance to the safe and reliable Therefore, it particularly monitor status diagnose faults transmission system. In this paper, a parallel wide first layer depth convolutional neural network (P-WDCNN) for multi input fusion proposed fault diagnosis vehicle By analyzing mechanism exploring relevant signal data, four time series were selected as inputs network: speed, motor current, average...
Storm surge forecasting presents a significant challenge for coastal resilience, particularly in typhoon-prone regions such as southeastern China, where compound flooding events lead to substantial socioeconomic losses. Although artificial intelligence (AI) models have shown strong potential storm prediction, their inherent “black-box” nature limits both interpretability and operational trust. In this study, we integrate Vision Transformer (ViT) model with an explainable AI (XAI)...
Abstract. The present work proposes a prediction model of significant wave height (SWH) and average period (APD) based on variational mode decomposition (VMD), temporal convolutional networks (TCNs), long short-term memory (LSTM) networks. sequence features were obtained using VMD technology the data from National Data Buoy Center. Then SWH APD models established TCNs, LSTM, Bayesian hyperparameter optimization. VMD–TCN–LSTM was compared with VMD–LSTM (without TCN cells) LSTM models. has...
Abstract We present a new method for synthesizing cold‐resistant laminated anti‐fire glass using K 2 O· n SiO ‐based ultrathin flexible membrane, which is prepared by vacuum surface treatment with ball‐milled core–shell emulsion (55 wt%). systemically characterize the mechanical, optical, rheological, cold‐resistant, fire‐resistant, and weather‐resistant performances of this glass. The formation mechanism membrane studied in detail multispeckle diffusing–wave spectroscopy scanning electron...
Abstract. The present work proposes a prediction model of significant wave height (SWH) and average period (APD) based on variational mode decomposition (VMD), temporal convolutional networks (TCN), long short-term memory (LSTM) networks. sequence features were obtained using VMD technology the data from National Data Buoy Center. Then SWH APD models established TCN, LSTM, Bayesian hyperparameter optimization. VMD-TCN-LSTM was compared with VMD-LSTM (without TCN cells) LSTM models. has...
Cosmic-ray data of 90 M events have been collected and used for calibration, alignment as well detector tuning. A special tracking algorithm the BESIII muon counter is developed verified with Monte–Carlo simulation then further confirmed cosmic-ray data. The obtained strip resolutions are in good agreement design values. new approach proposed to be future analysis experimental
The quasi-linear convective systems (QLCSs) in the warm season (May-September) during 10-year period 2011-2020 over Beijing-Tianjin-Hebei region are investigated. synoptic patterns divided into four types according to potential height field at 500 hPa. environment is unstable near locations of convection initiations (CIs) QLCSs, where temperature and humidity high there weak updraft low-level vertical wind shear. These features beneficial for formation rapid development strong convection....
The quasi-linear convective systems (QLCSs) in the warm season (May-September) during 10-year period 2011-2020 over Beijing-Tianjin-Hebei region are investigated. synoptic patterns divided into four types according to potential height field at 500 hPa. environment is unstable near locations of convection initiations (CIs) QLCSs, where temperature and humidity high there weak updraft low-level vertical wind shear. These features beneficial for formation rapid development strong convection....
The quasi-linear convective systems (QLCSs) in the warm season (May-September) during 10-year period 2011-2020 over Beijing-Tianjin-Hebei region are investigated. synoptic patterns divided into four types according to potential height field at 500 hPa. environment is unstable near locations of convection initiations (CIs) QLCSs, where temperature and humidity high there weak updraft low-level vertical wind shear. These features beneficial for formation rapid development strong convection....
The quasi-linear convective systems (QLCSs) in the warm season (May-September) during 10-year period 2011-2020 over Beijing-Tianjin-Hebei region are investigated. synoptic patterns divided into four types according to potential height field at 500 hPa. environment is unstable near locations of convection initiations (CIs) QLCSs, where temperature and humidity high there weak updraft low-level vertical wind shear. These features beneficial for formation rapid development strong convection....
The quasi-linear convective systems (QLCSs) in the warm season (May-September) during 10-year period 2011-2020 over Beijing-Tianjin-Hebei region are investigated. synoptic patterns divided into four types according to potential height field at 500 hPa. environment is unstable near locations of convection initiations (CIs) QLCSs, where temperature and humidity high there weak updraft low-level vertical wind shear. These features beneficial for formation rapid development strong convection....
The quasi-linear convective systems (QLCSs) in the warm season (May-September) during 10-year period 2011-2020 over Beijing-Tianjin-Hebei region are investigated. synoptic patterns divided into four types according to potential height field at 500 hPa. environment is unstable near locations of convection initiations (CIs) QLCSs, where temperature and humidity high there weak updraft low-level vertical wind shear. These features beneficial for formation rapid development strong convection....
The quasi-linear convective systems (QLCSs) in the warm season (May-September) during 10-year period 2011-2020 over Beijing-Tianjin-Hebei region are investigated. synoptic patterns divided into four types according to potential height field at 500 hPa. environment is unstable near locations of convection initiations (CIs) QLCSs, where temperature and humidity high there weak updraft low-level vertical wind shear. These features beneficial for formation rapid development strong convection....
The quasi-linear convective systems (QLCSs) in the warm season (May-September) during 10-year period 2011-2020 over Beijing-Tianjin-Hebei region are investigated. synoptic patterns divided into four types according to potential height field at 500 hPa. environment is unstable near locations of convection initiations (CIs) QLCSs, where temperature and humidity high there weak updraft low-level vertical wind shear. These features beneficial for formation rapid development strong convection....