Zobrazeno 1 - 10
of 888
pro vyhledávání: '"Chen Qingfeng"'
Publikováno v:
应用气象学报, Vol 35, Iss 1, Pp 33-44 (2024)
Utilizing data of Doppler wind lidar and L-band radiosonde system installed at Qingdao National Basic Meteorological Observing Station from April 2021 to December 2022, their detection capability and accuracy under low visibility weather conditions a
Externí odkaz:
https://doaj.org/article/363aff3557664a91ab9235c77b3a5bd6
The Large Visual Language Models (LVLMs) enhances user interaction and enriches user experience by integrating visual modality on the basis of the Large Language Models (LLMs). It has demonstrated their powerful information processing and generation
Externí odkaz:
http://arxiv.org/abs/2410.15359
Recommender systems are extensively utilised across various areas to predict user preferences for personalised experiences and enhanced user engagement and satisfaction. Traditional recommender systems, however, are complicated by confounding bias, p
Externí odkaz:
http://arxiv.org/abs/2410.12451
Autor:
CHEN Qingfeng
Publikováno v:
Meikuang Anquan, Vol 52, Iss 2, Pp 78-82 (2021)
Taking Tunbao Coal Mine as an example, the reasons for spontaneous combustion signs during working face layout of spontaneous coal seams such as M9-10, M14, M15 were analyzed: after the mining of each coal face, the complex goaf is formed with the ov
Externí odkaz:
https://doaj.org/article/5c580f4f3e10406c920699b5ccc51e96
Unsupervised graph representation learning (UGRL) based on graph neural networks (GNNs), has received increasing attention owing to its efficacy in handling graph-structured data. However, existing UGRL methods ideally assume that the node features a
Externí odkaz:
http://arxiv.org/abs/2407.19944
The transformers have achieved significant accomplishments in the natural language processing as its outstanding parallel processing capabilities and highly flexible attention mechanism. In addition, increasing studies based on transformers have been
Externí odkaz:
http://arxiv.org/abs/2407.13205
Graph anomaly detection (GAD), which aims to identify abnormal nodes that differ from the majority within a graph, has garnered significant attention. However, current GAD methods necessitate training specific to each dataset, resulting in high train
Externí odkaz:
http://arxiv.org/abs/2405.16771
Publikováno v:
E3S Web of Conferences, Vol 118, p 04031 (2019)
Phosphorus removal by crystallisation has the advantages of fast reactions, high efficiency, and recyclable resources, and it has attracted much attention at globally in recent years. With extensive research, its theory and process technology have be
Externí odkaz:
https://doaj.org/article/04f4b17bfb7d4e21b1f57f46c48d0818
Experimental simulation of nitrogen and phosphorus release during marine dumping of dredged sediment
Publikováno v:
E3S Web of Conferences, Vol 118, p 03031 (2019)
Marine dumping of dredged sediment results in the release of considerable amounts of nitrogen and phosphorus into the seawater. In this study, we evaluated the release pattern of nitrogen and phosphorus during sediment dumping through experimental si
Externí odkaz:
https://doaj.org/article/191abfbd184e4bc3951eb051b4491840