The quantum edge detection algorithm has already been applied in practical scenarios across medical imaging analysis, remote sensing image processing, industrial quality inspection, and autonomous ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

In this paper, we propose the digital detection and decryption of a sudoku puzzle using vision based techniques and subsequent solving of the puzzle using three algorithms-Backtracking, Simulated ...

Embedded multi-core architectures will require a higher bandwidth and scalable Networks on Chip (NoC) to sustain an increasingly demanding communication load in both image and signal processing areas.

The current particle filtering map matching algorithm has problems such as low map utilization and poor accuracy of turnoff positioning, etc. This paper proposed an improved particle filtering-based ...

After social media exploded with allegations that Twitter's image-cropping algorithm had a racial bias, the company said it decided to drop automated cropping.

In this article, we will build an automatic sudoku solver using deep learning, OpenCV image processing and backtracking.

Improve signal reconstruction accuracy with a dynamic index selection strategy based on residual update. Our algorithm outperforms CoSaMP for image recovery and one-dimensional signal.