ALLEY
发表于 2025-3-28 16:20:21
iterature with a number of further meshes - ing proposed and applied to various singular perturbation problems. However, in the mid 1980s, this development stalled, but was enlivened again by G978-3-642-05133-3978-3-642-05134-0Series ISSN 0075-8434 Series E-ISSN 1617-9692
衣服
发表于 2025-3-28 19:41:21
http://reply.papertrans.cn/87/8672/867137/867137_42.png
变白
发表于 2025-3-29 02:50:42
http://reply.papertrans.cn/87/8672/867137/867137_43.png
APRON
发表于 2025-3-29 06:41:16
http://reply.papertrans.cn/87/8672/867137/867137_44.png
精确
发表于 2025-3-29 07:41:46
Qianqian Zhang,Yuan He,Xiaojun Jing and international provenance. Overall, this book couples an innovative design with comprehensive coverage and an engaging style of writing. Its compactness andaccessibility enable readers to master the main features of this dynamic field of law with ease, making it an indispensible resource for scholars and practitioners alike.978-3-642-20751-8
Sinus-Rhythm
发表于 2025-3-29 13:04:08
Yue Zhao,Li Guo,Chao Dong,Xidong Mu and international provenance. Overall, this book couples an innovative design with comprehensive coverage and an engaging style of writing. Its compactness andaccessibility enable readers to master the main features of this dynamic field of law with ease, making it an indispensible resource for scholars and practitioners alike.978-3-642-20751-8
神圣在玷污
发表于 2025-3-29 17:47:39
Liang Ding,Huiqi Zheng,Yuchuan Peng,Qiongying Ren,Hua Zhao and international provenance. Overall, this book couples an innovative design with comprehensive coverage and an engaging style of writing. Its compactness andaccessibility enable readers to master the main features of this dynamic field of law with ease, making it an indispensible resource for scholars and practitioners alike.978-3-642-20751-8
愤怒历史
发表于 2025-3-29 19:59:07
http://reply.papertrans.cn/87/8672/867137/867137_48.png
Calibrate
发表于 2025-3-30 03:30:47
Signal and Information Processing, Networking and ComputersProceedings of the 6
dowagers-hump
发表于 2025-3-30 05:08:44
Normalized Metric Learning Based on Multi-feature Fusion for Person Re-identificationed as the sum of six optimized distance metrics by the min-max normalization with respective weights. In experiments, comprehensive evaluation results indicate that our framework gains superior performance with robustness to illumination, viewpoint as well as pose changes, and exceeds the existing m