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简历去塔斯POR vendedor,validacióN的RFC Y肋
应用背景有联合国简历席programa德塔斯incluyendo informacióN功能contable Y Agrega El Campo de vendedor,EL 2程序有validación del RFC(墨西哥)第阙无硒encuentre duplicado埃尔3ero验证阙埃尔肋indicado COSTO德尔producto海上铝关键技术EL普通ESTA basado EN的语言advpl,ES UN普通Claro y descriptivo没有稚嫩的á问题的某些对位aplicarlo苏Sistema。
- 2022-06-21 03:57:17下载
- 积分:1
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SCNRLOSS
分别利用CCG算法、MCG算法、SMI算法、及基于L1范数的相应算法求雷达信号的输出信杂噪比损失(Using CCG algorithm, MCG algorithm, SMI algorithm and corresponding algorithm based on L1 norm to calculate the output SNR loss of radar signal respectively)
- 2021-01-10 16:48:51下载
- 积分:1
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Black_Spider_1.7.2
Black_Spider_1.7.2 new tools for upload shell and chek vuln
- 2021-02-28 20:19:36下载
- 积分:1
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基于MAXPLUS II 的软件设计,这里面有几个小程序,用于VHDL的GDF设计,含有LED数码管的显示驱动程序,还有3选一,十选一程序。...
基于MAXPLUS II 的软件设计,这里面有几个小程序,用于VHDL的GDF设计,含有LED数码管的显示驱动程序,还有3选一,十选一程序。-II FPGA-based design software, there are several small procedures, GDF for VHDL design with a digital LED display driver of the procedures, there is a three elections. 10 election procedure.
- 2022-05-22 12:52:00下载
- 积分:1
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pinpu
将激光器输出的时间序列转化成频谱序列,以更好的分析频谱特性(The time series of laser output is converted into frequency series to better analyze the spectrum characteristics.)
- 2021-02-21 17:29:43下载
- 积分:1
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16*16VHDL 程序,可作参考,大家互相学习
16*16VHDL 程序,可作参考,大家互相学习-16* 16VHDL procedures, can be used for reference, we learn from each other
- 2022-04-01 23:09:25下载
- 积分:1
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l3_slide_decisiontheory_classifier.pdf
说明: classifier for machine learning
- 2020-06-24 12:00:02下载
- 积分:1
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读取串口数据并画实时曲线的VC源码,我试过了,修改一些就可以用了...
读取串口数据并画实时曲线的VC源码,我试过了,修改一些就可以用了-Read the serial data and pictures of the VC-source real-time curve, I tried to amend some can use
- 2022-01-22 11:34:46下载
- 积分:1
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2424014
notegewar32tresfadbhfsfd
- 2017-10-13 10:44:01下载
- 积分:1
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1-s2.0-S0957417410009899-main
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) is improved by hybridizing
it with the harmony search (HS) algorithm and the resulting algorithm is abbreviated as DMS-PSO-HS.
We present a novel approach to merge the HS algorithm into each sub-swarm of the DMS-PSO. Combining
the exploration capabilities of the DMS-PSO and the stochastic exploitation of the HS, the DMSPSO-HS
is developed. The whole DMS-PSO population is divided into a large number of small and
dynamic sub-swarms which are also individual HS populations. These sub-swarms are regrouped
frequently and information is exchanged among the particles in the whole swarm. The DMS-PSO-HS
demonstrates improved on multimodal and composition test problems when compared with the
DMS-PSO and the HS.
- 2018-02-09 15:58:17下载
- 积分:1