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松辽盆地火山岩岩性识别中测井数据的选择及判别方法
《石油学报》张莹 潘保芝  出版年:2012
依照松辽盆地深层火山岩岩性分类方案中的二级分类类型,对32口有准确岩心薄片定名资料的火山岩井段测井响应特征进行了总结,根据各测井响应区间值建立一个假设随机样本,应用逐步判别分析方法,在多个测井参数中按其对岩性分类判别能力...
关键词:松辽盆地  火山岩岩性识别  测井参数选取  判别分析  常规测井  被引量:9
Automatic Shrimp Fry Counting Method Using Multi-Scale Attention Fusion
SENSORSPeng, Xiaohong Zhou, Tianyu Zhang, Ying Zhao, Xiaopeng  出版年:2024
Shrimp fry counting is an important task for biomass estimation in aquaculture. Accurate counting of the number of shrimp fry in tanks can not only assess the production of mature shrimp but also assess the density of sh...
Extraction of sea surface temperature variation regime at the short-time scale
ACM International Conference Proceeding SeriesZhang, Ying Zheng, Yanzi Mo, Haoming  出版年:2021
The characteristic of periodic vibration existing in the process of sea surface temperature (SST) changing with time is called sea surface temperature change mode. Research on the patterns of SST variability on different...
Analysis of Machine Learning Methods for Water Quality Evaluation of Penaeus VannamEI
ACM International Conference Proceeding SeriesPeng, Xiaohong Li, Zixin Ma, Zebin Zhang, Ying  出版年:2023
In global aquaculture, Penaeus vannamEI stands out due to its immense economic importance. Water quality, bEIng pivotal for its successful cultivation, demands precise evaluation techniques. This research undertook a met...
Research on automatic evaluation model of carbonate reservoirs in BEIbu Gulf
ACM International Conference Proceeding SeriesZhang, Ying Li, Zixin Peng, Xiaohong Li, Zhentao  出版年:2023
In the context of the WEIxinan Depression’s carbonate reservoirs, this study sought to address the scientific challenges of automating reservoir evaluations. Leveraging machine learning theory, and employing a curated da...
pLMFPPred: a novel approach for accurate prediction of functional peptides integrating embedding from pre-trained protEIn language model and imbalanced learning
arXivMa, Zebin Zou, Yonglin Huang, Xiaobin Yan, Wenjin Xu, Hao Yang, Jiexin Zhang, Ying Huang, Jinqi  出版年:2023
Background Functional peptides have the potential to treat a variety of diseases. ThEIr good therapeutic efficacy and low toxicity make them ideal therapeutic agents. Artificial intelligence-based computational strategie...
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