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[Other亚为机器视觉高级版通用平台

Description: (一)适用对象 本平台适应的相机型号包括但不限于: AVT 、BASLER、IDS、JAI、POINT GREY、映美精、大恒、方诚等相机。 (二)类型说明 1、vi文件为LabVIEW程序源代码,用户必须安装LabVIEW,才能打开使用。 2、exe文件,为发布后的绿色版程序,无需安装LabVIEW,但需要安装LVRTE2017min。 3、setup文件,为发布后的程序,无需安装LabVIEW,无需安装LVRTE2017min,直接安装setup后,桌面即出现图标,运行即可。 以上文件,必须整体解压缩后运行。不可在压缩包里打开运行,否则程序无法调用DLL动态链接库,会有报错提示。((1) Applicable object Camera models suitable for this platform include, but are not limited to: AVT, BASLER, IDS, JAI, POINT GREY, Yingmei, Daheng, Fang Cheng and other cameras. (2) Type description 1. The VI file is the source code of LabVIEW program. Users must install LabVIEW in order to open and use it. 2. Ex file, in order to release the green version of the program, there is no need to install LabVIEW, but need to install LVRTE 2017 min. 3. Setup file, for the post-release program, there is no need to install LabVIEW, no need to install LVRTE2017min. After installing setup directly, icons appear on the desktop and run. The above files must be decompressed and run as a whole. You can't open and run in a compressed package, otherwise the program can't call DLL dynamic link library, and there will be an error message.)
Platform: | Size: 16712704 | Author: 武汉亚为电子 | Hits:

[AI-NN-PRIDS

Description: CYBER ATTACK DETECTION IN MATLAB
Platform: | Size: 52699 | Author: parmalikkumar83@gmail.com | Hits:

[OtherBig Data Analytics and Intelligent Systems for Cyber Threat Intelligence

Description: The cybersecurity community is slowly leveraging machine learning (ML) to combat ever-evolving threats. One of the biggest drivers for the successful adoption of these models is how well domain experts and users can under­ stand and trust their functionality. Most models are perceived as a black box despite the growing popularity of machine learning models in cybersecurity applications (e.g., an intrusion detection system (IDS)). As these black- box models are employed to make meaningful predictions, the stakeholders’ demand for transparency and explainability increases. Explanations support­ ing the output of ML models are crucial in cybersecurity, where experts require far more information from the model than a simple binary output for their analysis.
Platform: | Size: 28830371 | Author: iqzer0 | Hits:
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