使腐烂
发表于 2025-3-26 21:29:50
http://reply.papertrans.cn/67/6630/662962/662962_31.png
讥讽
发表于 2025-3-27 04:03:24
978-981-10-4599-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
圆桶
发表于 2025-3-27 08:12:01
http://reply.papertrans.cn/67/6630/662962/662962_33.png
CON
发表于 2025-3-27 11:19:04
http://reply.papertrans.cn/67/6630/662962/662962_34.png
生来
发表于 2025-3-27 15:36:14
https://doi.org/10.1007/978-981-10-4600-1Computer Science; Informatics; Conference Proceedings; Research; Applications; ICRACCCS; RACCCS 2016; Compu
GRAIN
发表于 2025-3-27 21:13:10
Gregorio Martinez‘Perez,Krishn K. Mishra,Munesh C.Presents the latest developments and technical solutions in all areas of computer and computational sciences.Helps industry personnel to derive the advances of next generation computer and communicati
蛛丝
发表于 2025-3-27 23:53:20
http://reply.papertrans.cn/67/6630/662962/662962_37.png
Cervical-Spine
发表于 2025-3-28 03:31:05
http://reply.papertrans.cn/67/6630/662962/662962_38.png
终点
发表于 2025-3-28 06:58:07
Lagrangian Twin SVR Based Grayscale Image Watermarking Using LWT-QR Decompositioned by applying Arnold transformation, which provide security to the proposed approach. Experimental results using various kinds of images and comparison of existing methods prove that the proposed approach is highly imperceptible and robust.
懒鬼才会衰弱
发表于 2025-3-28 13:49:23
Feature Extraction and Fuzzy-Based Feature Selection Method for Long Range Captured Iris Imagesfication accuracy than existing feature selection method. The results demonstrate that the proposed work is well suited to extract the features of iris polar images captured at a long distance and to reduce the dimensionality by selecting the useful features which increase the recognition accuracy.