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浏览/检索结果: 共223条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Machine learning analysis for condensation flow heat transfer in mini/ micro-channels 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2026, 卷号: 255, 页码: 15 作者:  He, Huan-Huan;  Li, Wei;  Zhu, Yu;  Tao, Zhi;  Zhao JF(赵建福)   |  收藏  |  浏览/下载：22/0  |  提交时间：2025/10/27 Condensation heat transfer coefficient  Machine learning  Explainability  Mini/micro-channel   Hierarchical Transfer Learning with Transformers to Improve Semantic Segmentation in Remote Sensing Land Use 期刊论文  OAI收割 REMOTE SENSING, 2025, 卷号: 17, 期号: 2, 页码: 290 作者:  Chen, Miaomiao;  Li, Lianfa   |  收藏  |  浏览/下载：29/0  |  提交时间：2025/02/24 land use  semantic segmentation  transformer  hierarchical transfer learning   A Chlorophyll-a Concentration Inversion Model Based on Adaptive Fine-Tuning Transfer Learning Method and Self-Attention Mechanism 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 25357-25373 作者:  Cui, Jianyong;  Hou, Shuhang;  Guo, Jie;  Xu, Mingming;  Sheng, Hui   |  收藏  |  浏览/下载：16/0  |  提交时间：2025/11/10 Adaptation models  Water quality  Biological system modeling  Monitoring  Data models  Sea measurements  Optimization  Remote sensing  Chlorophyll-a (Chl-a)  coastal waters  crested porcupine optimizer (CPO)  transformer  transfer learning  transformer  transfer learning   Heterogeneous transfer learning considering feature representation and environmental consistency for landslide spatial prediction 期刊论文  OAI收割 GISCIENCE & REMOTE SENSING, 2024, 卷号: 61, 期号: 1, 页码: 2349343 作者:  Zhao, Zheng;  Wang, Weihong;  Chen, Jianhua;  Yao, Jiaming;  Liao, Yangyang   |  收藏  |  浏览/下载：134/0  |  提交时间：2024/06/17 Landslide spatial prediction  transfer learning  environmental consistency  feature representation  random forest   A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2024, 卷号: 14, 期号: 1, 页码: 17 作者:  Ahmed, Maqsood;  Zhang, Xiang;  Shen, Yonglin;  Ali, Nafees;  Flah, Aymen   |  收藏  |  浏览/下载：31/0  |  提交时间：2025/06/27 Air temperature  Human clothing  Deep transfer learning  Classification   OS-SSVEP: One-shot SSVEP classification 期刊论文  OAI收割 NEURAL NETWORKS, 2024, 卷号: 180, 页码: 12 作者:  Deng, Yang;  Ji, Zhiwei;  Wang, Yijun;  Zhou, S. Kevin   |  收藏  |  浏览/下载：60/0  |  提交时间：2024/12/06 Brain-computer interface (BCI)  Steady-state visual evoked potential (SSVEP)  One-shot classification  Transfer learning  Data augmentation   A universal adapter in segmentation models for transferable landslide mapping 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2024, 卷号: 218, 页码: 446-465 作者:  Wei, Ruilong;  Li, Yamei;  Li, Yao;  Zhang, Bo;  Wang, Jiao   |  收藏  |  浏览/下载：56/0  |  提交时间：2024/12/23 Deep learning  Transfer learning  Landslide mapping  Tibetan Plateau   Optimizing seismic-based reservoir property prediction: a synthetic data-driven approach using convolutional neural networks and transfer learning with real data integration 期刊论文  OAI收割 ARTIFICIAL INTELLIGENCE REVIEW, 2024, 卷号: 58, 期号: 1, 页码: 27 作者:  Ali, Muhammad;  He, Changxingyue;  Wei, Ning;  Jiang, Ren;  Zhu, Peimin   |  收藏  |  浏览/下载：23/0  |  提交时间：2025/06/27 Optimizing reservoir property  Convolutional neural network  Transfer learning  Synthetic seismic gathers  Pseudo wells  Rock physics model   Prototype learning for adversarial domain adaptation 期刊论文  OAI收割 PATTERN RECOGNITION, 2024, 卷号: 155, 页码: 12 作者:  Fang, Yuchun;  Chen, Chen;  Zhang, Wei;  Wu, Jiahua;  Zhang, Zhaoxiang   |  收藏  |  浏览/下载：68/0  |  提交时间：2024/09/09 Domain adaptation  Transfer learning  Unsupervised learning  Deep learning   Deep-Learning-Based Amplitude Variation with Angle Inversion with Multi-Input Neural Networks 期刊论文  OAI收割 PROCESSES, 2024, 卷号: 12, 期号: 10, 页码: 24 作者:  Tao, Shiping;  Guo, Yintong;  Huang, Haoyong;  Li, Junfeng;  Chen, Liqing   |  收藏  |  浏览/下载：31/0  |  提交时间：2025/06/27 pre-stack seismic inversion  deep learning method  multi-input  strong robustness  transfer learning