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浏览/检索结果: 共344条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics to discriminate easily confused ginseng species 期刊论文  OAI收割 JOURNAL OF PHARMACEUTICAL ANALYSIS, 2025, 卷号: 15, 期号: 1, 页码: 12 作者:  Jiang, Meiting;  Sha, Yuyang;  Zou, Yadan;  Xu, Xiaoyan;  Ding, Mengxiang   |  收藏  |  浏览/下载：7/0  |  提交时间：2025/04/01 Liquid chromatography-mass spectrometry  Pseudo-targeted metabolomics  Deep neural network  Species differentiation  Ginseng   Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding 期刊论文  OAI收割 ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2024, 卷号: 42, 期号: 5, 页码: 29 作者:  Zhu, Yunchang;  Pang, Liang;  Wu, Kangxi;  Lan, Yanyan;  Shen, Huawei   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/12/06 Natural language understanding  question answering  pseudo-relevance feedback  loss function   Simultaneous determination of BGT-002 and its acyl glucuronide metabolite ZM326E-M2 in human plasma by liquid chromatography-tandem mass spectrometry and its application to a pharmacokinetic study 期刊论文  OAI收割 JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2024, 卷号: 243, 页码: 8 作者:  Zhu, Xueran;  Cui, Shumin;  Liu, Xinjing;  Zhang, Mei;  Xie, Zhifu   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/05/31 ATP-Citrate Lyase  BGT-002  Acyl glucuronide metabolite  Pseudo-MRM  LC-MS/MS  Pharmacokinetics   WSPolyp-SAM: Weakly Supervised and Self-Guided Fine-Tuning of SAM for Colonoscopy Polyp Segmentation 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 12, 页码: 16 作者:     |  收藏  |  浏览/下载：18/0  |  提交时间：2024/09/09 weakly supervised learning  polyp segmentation  Segment Anything Model  pseudo-label generation  deep learning   A semi-supervised cross-modal memory bank for cross-modal retrieval 期刊论文  OAI收割 NEUROCOMPUTING, 2024, 卷号: 579 作者:  Huang, Yingying;  Hu, Bingliang;  Zhang, Yipeng;  Gao, Chi;  Wang, Quan   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/07/18 Common space  Cross-modal memory bank  Pseudo-labels  Class probability   Extensive intragenomic variations of the 18S rDNA V4 region in the toxigenic diatom species Pseudo-nitzschia multistriata revealed through high-throughput sequencing 期刊论文  OAI收割 MARINE POLLUTION BULLETIN, 2024, 卷号: 201, 页码: 11 作者:  Wang, Hui;  Liu, Kuiyan;  Chen, Ziyan;  Chen, Yang;  Hu, Zhangxi   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/08/29 Metabarcoding analysis  Pseudo-nitzschia multistriata  Molecular markers polymorphism  SSU rDNA  Intragenomic variations (IGVs)   Multi-Dimensional Fusion of Spectral and Polarimetric Images Followed by Pseudo-Color Algorithm Integration and Mapping in HSI Space 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 7 作者:  Guo, Fengqi;  Zhu, Jingping;  Huang, Liqing;  Li, Feng;  Zhang, Ning   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/07/18 spectral images  polarimetric images  pseudo-color mapping  remote sensing   DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network 期刊论文  OAI收割 MACHINE LEARNING, 2024, 页码: 14 作者:  Pei, Songwen;  Wang, Jiyao;  Zhang, Bingxue;  Qin, Wei;  Xue, Hai   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/05/20 Big data  Compression  Deep learning  Pseudo-mean mixed-precision quantization  Pruned neural network   ImFusion: Boosting Two-Stage 3D Object Detection via Image Candidates 期刊论文  OAI收割 IEEE SIGNAL PROCESSING LETTERS, 2024, 卷号: 31, 页码: 241-245 作者:  Tao, Manli;  Zhao, Chaoyang;  Wang, Jinqiao;  Tang, Ming   |  收藏  |  浏览/下载：27/0  |  提交时间：2024/03/26 Three-dimensional displays  Proposals  Object detection  Feature extraction  Point cloud compression  Aggregates  Sun  3D object detection  image candidates  pseudo 3D proposal  target missing   Hard-Soft Pseudo Labels Guided Semi-Supervised Learning for Point Cloud Classification 期刊论文  OAI收割 IEEE SIGNAL PROCESSING LETTERS, 2024, 卷号: 31, 页码: 1059-1063 作者:  He, Yuan;  Hu, Guyue;  Yu, Shan   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/07/22 Point cloud compression  Training  Three-dimensional displays  Self-supervised learning  Semisupervised learning  Task analysis  Unsupervised learning  Point cloud  3D vision  semi-supervised learning  contrastive learning  pseudo label