Each cell is star-shaped with respect to its root, which lies on the boundary of the cell, meaning that the root can “see” all points within the cell. Typically, we will store with each vertex, v, of P the geodesic distance, d(s, v), from s to v, as well as a pointer to...
This contrast enhancement is applied on the encrypted image at two different levels of 70% and 30%, with the lower value meaning higher contrast, and then the decrypted and original images are compared. Gaussian Noise Analysis: distortion, degradation, and contamination with communication noises are...
of generating the Vietnamese paragraph from the logical expression of discourse representation structure (DRS), which is the first-order logic expressions without explicit quantifiers, and represents the meaning as well as reflects the potential contexts of a given discourse or a sequence of sentences...
An algorithm is how a computer works. Everything a computer does is based on an algorithm, from booting up to shutting down and all the processes in between. Algorithm developers hold an essential role in computer science, as they craft the fundamental logic that drives all computational systems...
Explore the Burrows-Wheeler Transform (BWT) algorithm and how to combine it with the Run-Length Encoding (RLE) compressing algorithm to achieve a better compression ratio.
These variables show a direct relationship with SW, meaning that higher values of CGR, DT, NPHI, POTA, THOR, and PEF are associated with higher SW values. The comparison of Pearson correlation coefficients provides valuable insights into the relationship between input variables and SW. Figure 9 ...
People exist for profit, and I don't have to be ashamed of it or cover it up - because everything in nature is just like that. Deducing our own unique beauty is the meaning of our common existence - which is also the true meaning of infinite benefits, or infinite algorithm satisfaction...
These definitions motivate the computer science community to design new techniques to detect outliers. Among which two typical methods for are distance-based and density-based methods6,7,8. The basic assumption of distance-based approaches is that outliers are far away from their neighboring objects...
[59], stated that KNN algorithms are non-parametric, meaning they do not make any assumptions about the underlying data distribution. This flexibility allows KNN to adapt well to different types of data and can capture complex patterns, making it suitable for predicting hepatitis where the ...
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