Exact(1)
This chapter also highlights the relevance of an efficient implementation of these inherently computationally intensive techniques, which can greatly benefit from GPU-based processingrocessing, in making these solutions approachable in real-time on mobile hardware architectures.
Similar(59)
This paper deals with the general problem of designing hardware architectures for mobile robots.
Hardware solutions Some researchers have suggested that re-designing the mobile device's hardware architecture is beneficial for energy-efficient sensing.
Our main objective is to provide efficient dynamic reconfigurable hardware architectures for data mining applications on mobile and embedded devices.
Since our intention is to provide reconfigurable hardware architectures for data mining applications on mobile and embedded devices, we decided to utilize a data set that is appropriate for applications on these devices.
Apple, though, is the leader in the mobile hardware race.
Facebook owns photos, Google owns search, Apple owns mobile hardware and Amazon owns shopping.
Our proposed hardware architectures are generic, parameterized, and scalable.
In hardware architectures, obtaining reconfigurable architecture in ASIC is more challenging.
It also gives it a substantial foothold in the mobile hardware business.
We then describe the mechanical design, the user interface, the software and hardware architectures of our robot.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com