QQ客服 官方微博 反馈留言

浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2023     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Functional evidence that FGFR regulates MAPK signaling in organizer specification in the gastropod mollusk Lottia peitaihoensis 期刊论文 MARINE LIFE SCIENCE & TECHNOLOGY, 2023, 页码: 12 作者:  Tan, Sujian;  Huan, Pin;  Liu, Baozhong 收藏  |  浏览/下载：4/0  |  提交时间：2023/11/30 FGF signaling  Organizer specification  BMP signaling gradient  DV patterning  Mollusk   BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI 期刊论文 IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1161-1169 作者:  Fan, Chen-Chen;  Yang, Hongjun;  Peng, Liang;  Zhou, Xiao-Hu;  Ni, Zhen-Liang 收藏  |  浏览/下载：11/0  |  提交时间：2023/12/21 Alzheimer's disease (AD)  cognitive assessment  convolutional neural networks (CNNs)  graph neural networks  structural magnetic resonance imaging (sMRI)   A Practical Algorithm for Correcting Topographical Effects on Global GPP Products 期刊论文 JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2023, 卷号: 128, 期号: 8, 页码: 21 作者:  Xie, Xinyao;  Chen, Jing M.;  Yuan, Wenping;  Guan, Xiaobin;  Jin, Huaan 收藏  |  浏览/下载：8/0  |  提交时间：2023/11/16 GPP data sets  vegetation photosynthesis  topographical effect  mountainous areas  BEPS-TerrainLab   Characterization of oxidative damage induced by nanoparticles via mechanism-driven machine learning approaches 期刊论文 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 871, 页码: 11 作者:  Wang, Xiaoqing;  Li, Fei;  Teng, Yuefa;  Ji, Chenglong;  Wu, Huifeng 收藏  |  浏览/下载：6/0  |  提交时间：2024/01/26 Toxic effects  Machine learning  Risk assessment  Mechanism -driven analysis  TiO2-based engineered nanoparticles(nTiO2)   Machine Learning Method for Fatigue Strength Prediction of Nickel-Based Superalloy with Various Influencing Factors 期刊论文 MATERIALS, 2023, 卷号: 16, 期号: 1, 页码: 13 作者:  Guo, Yiyun;  Rui, Shao-Shi;  Xu, Wei;  Sun, Chengqi 收藏  |  浏览/下载：27/0  |  提交时间：2023/02/09 machine learning  nickel-based superalloy  fatigue strength prediction  temperature  stress ratio   A Study of Using Synthetic Data for Effective Association Knowledge Learning 期刊论文 Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 194-206 作者:  Yuchi Liu;  Zhongdao Wang;  Xiangxin Zhou;  Liang Zheng 收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23 Multi-object tracking (MOT)  data association  synthetic data  motion simulation  association knowledge learning