enfeeble 发表于 2025-3-26 21:54:26
http://reply.papertrans.cn/16/1594/159306/159306_31.pngExpostulate 发表于 2025-3-27 01:41:38
https://doi.org/10.1007/978-3-531-90247-0 This chapter presents a comparative study of bat-inspired computing algorithm and its hybrid variants in order to discover near-optimal Golomb rulers (OGRs). Near-OGR sequences can be used as a channel allocation scheme to reduce one of the important nonlinear crosstalk generated via four-wave mixiAdulate 发表于 2025-3-27 06:23:15
http://reply.papertrans.cn/16/1594/159306/159306_33.png干旱 发表于 2025-3-27 09:40:27
http://reply.papertrans.cn/16/1594/159306/159306_34.pngMilitia 发表于 2025-3-27 14:43:11
http://reply.papertrans.cn/16/1594/159306/159306_35.png易改变 发表于 2025-3-27 20:20:17
Aufbereitung und Auswertung der Daten, provides more visible brain abnormalities than other modalities. This work implemented a heuristic algorithm based examination procedure. In this, the Bat Algorithm (BA) is used to improve the visibility of the tumor-pixels using the Kapur’s Entropy (KE). The improved tumor section is then collecteMURKY 发表于 2025-3-27 22:31:40
A New Hybrid Binary Algorithm of Bat Algorithm and Differential Evolution for Feature Selection anded with an enhanced version of the differential evolution algorithm (DE). In the proposed algorithm, the BA with its capacity for echolocation to explore the feature space is combined with DE and its ability to converge to the best global solution in the search space. The general performance of the生气地 发表于 2025-3-28 04:02:26
http://reply.papertrans.cn/16/1594/159306/159306_38.png四指套 发表于 2025-3-28 09:35:52
http://reply.papertrans.cn/16/1594/159306/159306_39.pngFLING 发表于 2025-3-28 13:52:46
,Multi-thresholding with Kapur’s Entropy—A Study Using Bat Algorithm with Different Search Operatorshance the information in the existing raw image using a chosen pre-processing method. Multi-thresholding is one of the famous pre-processing practices, normally used to enhance the raw picture by clustering the similar pixels based on the preferred threshold. This work proposes a multi-threshold pro