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其他书籍 IEEE 802.11F-2003 IEEE Recommended Practice for Multi-Vendor Access Point Interoperability via an In

IEEE 802.11F-2003 IEEE Recommended Practice for Multi-Vendor Access Point Interoperability via an Inter-Access Point Protocol Across Distribution Systems Supporting IEEE 802.11 Operation
https://www.eeworm.com/dl/542/349010.html
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matlab例程 multi uav(多无人机matlab下的仿真)

multi uav(多无人机matlab下的仿真)
https://www.eeworm.com/dl/665/350131.html
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单片机开发 MSP430单片机的实时多任务操作系统c源代码,MSP430 mcu Real Time multi-task operation system source

MSP430单片机的实时多任务操作系统c源代码,MSP430 mcu Real Time multi-task operation system source
https://www.eeworm.com/dl/648/352520.html
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Linux/Unix编程 This GTK+ version 2.12.3. GTK+ is a multi-platform toolkit for creating graphical user interfaces.

This GTK+ version 2.12.3. GTK+ is a multi-platform toolkit for creating graphical user interfaces. Offering a complete set of widgets, GTK+ is suitable for projects ranging from small one-off projects to complete application suites.
https://www.eeworm.com/dl/619/353751.html
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其他 Multi-label classification 和weka集成

Multi-label classification 和weka集成
https://www.eeworm.com/dl/534/357125.html
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单片机开发 Discription: This multi-master driver provides the software interface to the I2C Bus hardware of th

Discription: This multi-master driver provides the software interface to the I2C Bus hardware of the M3062x series of MitsubishiMCU.
https://www.eeworm.com/dl/648/359674.html
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通讯编程文档 Multicast Algorithms for Multi-Channel Wireless Mesh Networks

Multicast Algorithms for Multi-Channel Wireless Mesh Networks
https://www.eeworm.com/dl/646/360696.html
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人工智能/神经网络 RBFMIP is a package for training multi-instance RBF neural networks

RBFMIP is a package for training multi-instance RBF neural networks
https://www.eeworm.com/dl/650/365737.html
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人工智能/神经网络 BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code

BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
https://www.eeworm.com/dl/650/365739.html
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人工智能/神经网络 CCE is a multi-instance learning method solving multi-instance problems through adapting multi-insta

CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance represen ...
https://www.eeworm.com/dl/650/365742.html
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