The algorithm allows researchers to reconstruct how abundant different block-lengths are present within a copolymer sample, giving a much more detailed picture of the material's internal structure.

The AExOp-DCS algorithm was introduced as an automatic feature domain optimization method that identifies the “optimal” descriptor set driven by the chemical structure and biological activity of the ...

The proposal suggests implementing a shared random algorithm to eliminate Maximal Extractable Value (MEV) at the block level and distribute block construction more equitably across the network.

Registration is usually the first step for the usage of point cloud data. Registration of point clouds is crucial in numerous practical applications. In order to quickly and accurately align point ...

Moreover, the generated descriptors could be optionally stored in MongoDB for performing searches in the future. To speed up the search, we created a set of indexes from the transformed shape-based ...

The descriptor pool that resulted in the highest scaled performance values is the 2D descriptor set for both algorithms in case of the hepatotoxicity dataset. Among the fingerprint-type descriptors, ...

The most simple shape descriptor might be a raw subsequence itself. Then, we calculate the distance matrix - required by the dtw algorithm - based on obtained shape descriptors instead of raw, single ...

To make block theory suitable for blocks of any shape, this paper proposes a general algorithm for analyzing block stability. It simplifies faces of arbitrary shapes into joint planes and computes a ...