QQ客服 官方微博 反馈留言

浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2022     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 Reconstructing all-weather daytime land surface temperature based on energy balance considering the cloud radiative effect 期刊论文 ATMOSPHERIC RESEARCH, 2022, 卷号: 279, 页码: 16 作者:  Xu, Fubao;  Fan, Jianrong;  Yang, Chao;  Liu, Jiali;  Zhang, Xiyu 收藏  |  浏览/下载：21/0  |  提交时间：2022/10/09 Land surface temperature (LST)  Cloud radiation effect  XGBoost  Passive microwave  Tibetan Plateau (TP)   Spatial and Temporal Characteristics of Evapotranspiration in the Upper Minjiang River Basin Based on the SiB2 Model 期刊论文 LAND, 2022, 卷号: 11, 期号: 8, 页码: 18 作者:  Kong, Bo;  He, Bing;  Liu, Xiangmeng;  Yu, Huan 收藏  |  浏览/下载：16/0  |  提交时间：2022/10/09 remote sensing  hydrothermal flux  watershed hydrology  land surface process   A Fast and High-Performance Object Proposal Method for Vision Sensors: Application to Object Detection 期刊论文 IEEE SENSORS JOURNAL, 2022, 卷号: 22 作者:  Jiang, Chao;  Wang, Zhiling;  Liang, Huawei;  Tan, Shuhang 收藏  |  浏览/下载：8/0  |  提交时间：2022/12/23 Proposals  Computational efficiency  Object detection  Location awareness  Merging  Feature extraction  Visualization  Object proposals  object detection  enhanced frequency feature  binarization  lateral inhibition  autonomous vehicle   A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem 期刊论文 International Journal of Production Research, 2022 作者:  Zhao, Fuqing;  Hu, Xiaotong;  Wang, Ling;  Xu, Tianpeng;  Zhu, Ningning 收藏  |  浏览/下载：25/0  |  提交时间：2022/07/20 Assembly  Energy utilization  Evolutionary algorithms  Iterative methods  Learning algorithms  Multiobjective optimization  Reinforcement learning  Resource allocation  Scheduling  Brain storm optimization  Clustering mechanism  Energy efficient  Learning mechanism  No-wait flow-shop scheduling  No-wait flowshop  Optimisations  Product assignment rule  Q-learning  Q-learning mechanism   Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrialwireless networks 期刊论文 Frontiers of Information Technology & Electronic Engineering, 2022, 卷号: 23, 期号: 1, 页码: 47-60 作者:  Liu XY(刘晓宇);  Xu C(许驰);  Yu HB(于海斌);  Zeng P(曾鹏) 收藏  |  浏览/下载：19/0  |  提交时间：2022/01/27 Multi-agent deep reinforcement learning  End–edge orchestrated  Industrial wireless networks  Delay  Energy consumption