Guoping Liu
Biographic Data
| ID | 6874554 |
|---|---|
| NAME | Guoping Liu |
| GIVEN NAMES | Guoping |
| FAMILY NAME | Liu |
| SIGNATURE | LIU G |
| AFFILIATIONS | Yangtze University |
| ORCID | 0000-0002-2279-4150 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Independent legal directors’ attitudes toward bank CEO stock option awards
Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting
Due to the periodic and dynamic changes of traffic flow and the spatial–temporal coupling interaction of complex road networks, traffic flow forecasting is highly challenging and rarely yields satisfactory prediction results. In this paper, we propose a novel methodology named the Augmented Multi-component Recurrent Graph Convolutional Network (AM-RGCN) for traffic flow forecasting by addressing the problems above. We first introduce the augmente…
High NH 3 deposition in the environs of a commercial fattening pig farm in central south China
Intensive livestock production has been increasing, and has resulted in the emission of more than seven teragram per year of ammonia (NH 3 ) in China in recent years. However, little is known about the fate of the emitted NH 3 , especially the dry deposition of NH 3 in the environs of intensive animal farms. In this study, the spatial and temporal variations of NH 3 deposition in the environs of an intensive fattening pig farm were investigated i…
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High NH 3 deposition in the environs of a commercial fattening pig farm in central south China
Intensive livestock production has been increasing, and has resulted in the emission of more than seven teragram per year of ammonia (NH 3 ) in China in recent years. However, little is known about the fate of the emitted NH 3 , especially the dry deposition of NH 3 in the environs of intensive animal farms. In this study, the spatial and temporal variations of NH 3 deposition in the environs of an intensive fattening pig farm were investigated i…
Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting
Due to the periodic and dynamic changes of traffic flow and the spatial–temporal coupling interaction of complex road networks, traffic flow forecasting is highly challenging and rarely yields satisfactory prediction results. In this paper, we propose a novel methodology named the Augmented Multi-component Recurrent Graph Convolutional Network (AM-RGCN) for traffic flow forecasting by addressing the problems above. We first introduce the augmente…
Independent legal directors’ attitudes toward bank CEO stock option awards
Accounting (1 work) · Ammonia (1 work) · Animal science (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Atmospheric chemistry and aerosols (1 work) · Atmospheric sciences (1 work) · Biology (1 work) · Business (1 work) · Chemistry (1 work)