reconstruction关键词检索结果

IMF全球经济前景 - 特朗普关税将全球增长降至3%以下 美国 - 中国摩擦对特朗普的关税是动荡的 - 中国将面临艰难的情况

IMF世界経済見通し-トランプ関税で世界成長率は3%割れに

On April 22, the International Monetary Fund (IMF) published its World Economic Outlook (WEO), with the contents as follows: [Global Real GDP Growth Rate (Figure 1)] - The forecast is expected to be 2.8% year-on-year in 2025, and is downwardly revised from the outlook as of January 2025 (3.3%) - The

IEEE关于计算智能第9卷中新兴主题的交易,第2期,2025年4月

IEEE Transactions on Emerging Topics in Computational Intelligence Volume 9, Issue 2, April 2025

1) IDET: Iterative Difference-Enhanced Transformers for High-Quality Change DetectionAuthor(s): Qing Guo, Ruofei Wang, Rui Huang, Renjie Wan, Shuifa Sun, Yuxiang ZhangPages: 1093 - 11062) CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-ResolutionAuthor(s): Dongya

IEEE在神经网络和学习系统上的交易,第36卷,第3期,2025年3月

IEEE Transactions on Neural Networks and Learning Systems, Volume 36, Issue 3, March 2025

1)深度神经网络中有效融合的来宾社论特刊:Yanwei Pang,Fahad Shahbaz Khan,Xin lu,fabio cuzzolinpages:3886-3886-38892)的决策网络图像分类网络(S) Gu, Zhihong Tian, Wenping WangPages: 3890 - 39033) ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision TasksAuthor(s): Yuanduo Hong, Huihui Pan,

加沙的恢复必须建立在钢和混凝土上:Guterres

Gaza’s recovery must be built on more than steel and concrete: Guterres

The UN Secretary-General on Tuesday stressed that the “true foundation” of recovery and reconstruction in Gaza must be based on a clear and agreed political framework, not just bricks and mortar.Read the full story, “Gaza’s recovery must be built on more than steel and concrete: Guterres”, on global

IEEE 神经网络和学习系统学报,第 35 卷,第 6 期,2024 年 6 月

IEEE Transactions on Neural Networks and Learning Systems, Volume 35, Issue 6, June 2024

1) Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical ImagingAuthor(s): Tianming Liu, Dajiang Zhu, Fei Wang, Islem Rekik, Xia Hu, Dinggang ShenPages: 7271 - 72742) Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identificatio