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nz8b01009_si_005 Downloaded：0: It is mainly used in the calculation and simulation analysis of the interface dendrite growth and dendrite morphology of lithium battery.
Date : 2025-06-25 Size : 10kb User : zz_tie
音乐网站 Downloaded：0: jsp+servlet 源代码音乐网站
Date : 2020-06-03 Size : 1.36mb User : 163.com
javaCHATROOM Downloaded：0: Java implements a complete chat instance, including server and client, requires the use of Socket principle knowledge, CS structured chat program
Date : 2025-06-25 Size : 5kb User : h0293
drsstc Downloaded：0: DRSSTC project file for SKP / PDM
Date : 2025-06-25 Size : 4kb User : 氧化钙yhg
无信息变量消除法提取特征 Downloaded：2: Uve extracts features, hyperspectral data, region of interest data, and the last column is label
Date : 2025-06-25 Size : 739kb User : 叶大白
GA提取特征 Downloaded：0: GA extracts features, hyperspectral data, region of interest data, and the last column is label
Date : 2025-06-25 Size : 767kb User : 叶大白
PSO提取特征 Downloaded：0: PSO extracts features. The data is divided into two parts. Label and data are divided into two matrices and transposed respectively.
Date : 2025-06-25 Size : 12kb User : 叶大白
CareyShop 基于TP5&Vue的商城框架系统 Downloaded：5: CareyShop（简称 CS）是一套基于 ThinkPHP5 框架开发的高性能商城框架系统，秉承简洁、快速、极致的开发理念，采用前后端分离，支持分布式部署。框架内部使用面向对象模块化调用，在多终端、跨平台时采用 REST API 进行数据交互，可直接对接 PC、移动设备、小程序、云部署，构建 Android、IOS 的 APP。
Date : 2020-06-03 Size : 18.69mb User : dnyz520@126.com
FFT快速傅里叶变换时域转频域 Downloaded：0: FFT快速傅里叶变换时域转频域FFT快速傅里叶变换时域转频域FFT快速傅里叶变换时域转频域FFT快速傅里叶变换时域转频域FFT快速傅里叶变换时域转频域
Date : 2020-06-03 Size : 20.91kb User : 774928208@qq.com
反转快速傅里叶变换频域转时域 Downloaded：0: labview反转快速傅里叶变换频域转时域反转快速傅里叶变换频域转时域反转快速傅里叶变换频域转时域反转快速傅里叶变换频域转时域反转快速傅里叶变换频域转时域
Date : 2020-06-03 Size : 37.22kb User : 774928208@qq.com
emd+lstm等预测方法 Downloaded：0: This paper mainly introduces the signal or data processing, such as EMD, VMD, and then forecasts the decomposed subsequence. There are articles to compare, why the same method can be so powerful again, without blinking
Date : 2025-06-25 Size : 6.6mb User : 对我而言可
TCN-with-attention-master Downloaded：0: Based on the attention method, TCN is better than LSTM in prediction, with data attached
Date : 2025-06-25 Size : 16kb User : 对我而言可

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