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It is not always feasible to implement an application specific custom hardware due to cost and time considerations.
Of course it's possible that similar designs have been created using similar hardware due to the limited number of ports on the MCU.
Electrophysiological heart models are sophisticated computational tools that place high demands on the computing hardware due to the high spatial resolution required to capture the steep depolarization front.
The verification of software is more complex than hardware due to inherent flexibilities (dynamic behavior) that incur a multitude of possible system states.
This paper is focused on the creation of Spiking Neural Networks (SNN) in hardware due to their advantages for certain problem solving and their similarity to biological neural system.
It covered most of the pictures in the coding structure of MVC, but it is difficult to implement into hardware due to the complicated construction of the algorithm.
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Additionally, six patients had their hardware removed due to hardware-related pain or discomfort.
Often bugs in hardware happen due to misunderstanding about effect a VHDL construct will have on the resulting synthesized hardware.
Such a controller design is very easy for hardware implementation due to its simple structure.
CompactPCI has been selected as the hardware standard, due to its high performance, perspectives and low cost.
A significant challenge is that RTM software can require laborious manual adjustment across different hardware platforms due to the diversity of architecture characteristics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com