Description: Dede之外的另一个超强的delphi,C++builder的反编译工具，支持win和linux的可执行程序。-Decompiler produces all project forms and data modules with all assigned properties and events. Produced event procedures don t have a body, but have an address of code in executable file.
Here are some key features of "Delphi and C++Builder Decompiler":
· Easy-to-use wizard interface
· Extraction from both Delphi and C++ Builder exe-files
· Extraction from both Windows and Linux executables
· Extraction of all project forms and data modules with all assigned properties and events Platform: |
Size: 1415168 |
Author:uuhunter |
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Description: 说明：目前信息抽取的主要研究方向是命名实体识别、指代消解、实体语义关系抽取、事件探测等几个领域。本资料包含7篇关于关系抽取的相关经典论文。
-Note: At present, the main research direction of information extraction is named entity recognition, anaphora resolution, entity semantic relation extraction, event detection, and several other areas. This information is collected on the relationship contains seven papers related to the classic. Platform: |
Size: 9872384 |
Author:lihaifeng |
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Description: 试题库管理系统是基于Window环境下，使用Visual Basic6.0集成开发环境作为本系统的应用软件开发平台，采用当前最新的的程序设计思想：面向对象与事件驱动，使编程变得更加方便、快捷。凭其强大的功能、方便多用的数据库应用程序、多媒体软件，减轻了开发的复杂性，增加了使用的方便性。采用的数据库是Microsoft Access数据库，功能强大，操作方便灵活。整个系统包括试题管理模块、试题抽取模块、查询模块及用户管理等功能。这个系统就是对试题库管理系统作出一个大概的描述，使用者可以很容易的使用。-Test library management system is based on the Window environment, the use of Visual Basic6.0 integrated development environment as the system s application software development platform, using the current procedures for the latest design concept: object-oriented and event-driven to make programming more convenient, fast. By virtue of their powerful, more convenient to use the database application, multimedia software, reducing the development complexity, increases ease of use. The database is using Microsoft Access database, powerful, easy to operate and flexible. The entire system, including examination questions management module, item extraction module, check module and user management functions. This system is the right test library management system to make a rough description, the user can easily use. Platform: |
Size: 14336 |
Author:lyh |
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Description: P-Code decoding started and image extraction.
Numerous bug fixes.
Event detection added.
Dll and OCX Support added.
External Components added to vbp file.
Begun work on a basic antidecompiler.
Form property editor, complete with a patch report generator.
Procedure names are recovered.
Api s used by the program are recovered.
Msvbvm60.dll imports are listed in the treeview.
- P-Code decoding started and image extraction.
Numerous bug fixes.
Event detection added.
Dll and OCX Support added.
External Components added to vbp file.
Begun work on a basic antidecompiler.
Form property editor, complete with a patch report generator.
Procedure names are recovered.
Api s used by the program are recovered.
Msvbvm60.dll imports are listed in the treeview.
Platform: |
Size: 8339456 |
Author:zgychat |
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Description: 利用句型模板构造抽取规则,然后直接从经过时
间短语和空间短语识别和规范化处理的文本中抽取事件信息,从而跳过了深层句法分析,降低了实现系统的
难度 (2) 利用事件的规范化的时空信息关联不同文档中的同一事件,进行事件合并 (3) 文档发生事件转移时
对文档进行事件切分,从而解决了文档内不同事件信息的归并问题。-Extraction rules using sentence patterns, and then directly from the space of time phrases and phrases to identify and deal with the text of the standardized extract event information, thereby skipping parsing, reducing the difficulty of achieving the system (2) the use of standardized event spatial and temporal information associated with the same events in different documents, an event is merged (3) when the event appears on the document event segmentation to solve the document within the information merged into different events. Platform: |
Size: 374784 |
Author:杜绢 |
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Description: ：基于脑电信号的身份识别是通过采集试验者的脑部信号来进行身份认证。对于同一个外部刺激或者主体在思考同一个
事件的时候，不同人的大脑所产生的认知脑电信号不同。选取与运动意识想象有关的电极后，分析不同个体在特定状况下脑
电的个体差异，采用以回归系数、能量谱密度、相同步、线性复杂度多种信号处理结合方法对运动想象脑电信号进行处理来
进行特征提取。组合多元特征向量并运用多层BP 神经网络对不同个体的脑电信号进行分类，并在不同的意识想象及不同数
据长度、不同的波段对试验者进行识别率验证分析。结果表明，不同运动想象的平均识别率均在80 以上，其中以想象舌头
运动的识别率较高，达到90.6 ，不同波段的识别率也表明意识想象的模式及相应波段对身份认别有较大的影响。-EEG-based identification to authenticate through the acquisition of experimental brain signals. For the same external stimuli, or the main thinking of the same
Event, different people s brains produced by cognitive EEG. Select imagine the electrodes and movement awareness, analysis of different individuals in a particular situation brain
Individual differences in electricity, the use of regression coefficients, the energy spectral density, phase synchronization, the linear complexity of a variety of signal processing combined with motor imagery EEG
For feature extraction. The combination of multiple feature vectors and the use of multi-layer BP neural network to classify the EEG signals of different individuals, and in a different sense of imagination and a different number of
Length, the band on the test to verify the analysis of the recognition rate. The results show that the average recognition rates of different motor imagery in more than 80 , which to imagine the tongue
The m Platform: |
Size: 551936 |
Author:王闯杰 |
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Description: My graduate work.
I just want to understand how work this servis.
This is my first experience. Platform: |
Size: 643072 |
Author:Daria |
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Description: 内含BCI2008数据集处理方法，特征提取和机器学习算法，得到了很好的分类效果(Contains BCI2008 data set processing methods, feature extraction and machine learning algorithms, with good classification results) Platform: |
Size: 1197056 |
Author:mtlckh |
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