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• W4288389105 abstract "Unconventional circuits with built-in memory and computing functionalities are becoming the cornerstones of artificial intelligence (AI) at the edge. In the currently deployed systems, sensing and computing occur in separate physical locations, imposing a vast amount of data shuttling between the sensor module and the cloud-computing platforms. Regarding the acceleration of image processing at the edge, in this work, a memristive computing circuit has been designed. By exploiting the non-linear behavior and memory capabilities of memristor devices, a memristive circuit, capable of tracking the shifting of an image is proposed. The presented circuit design can be also combined with an array of sensors, aiming to implement a discrete image tracking module." @default.
• W4288389105 created "2022-07-29" @default.
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• W4288389105 date "2022-06-08" @default.
• W4288389105 modified "2023-09-26" @default.
• W4288389105 title "Image Shifting Tracking Leveraging Memristive Devices" @default.
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• W4288389105 doi "https://doi.org/10.1109/mocast54814.2022.9837763" @default.
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