A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

A distributed ledger technology (DLT) is basically a synchronized database duplicated across many PCs, therefore doing away with the need for a central authority. Rather, participants together approve ...

Data scientists play a crucial role in helping people and organizations use data to make more informed decisions. Since they ...

The Succinct Data Structure Library (SDSL) is a powerful and flexible C++11 library implementing succinct data structures. In total, the library contains the highlights of 40 research publications.

Library Evolutionary Algorithms for Clustering (LEAC) is a library of genetic algorithms to solve the problem of partition clustering. It includes 22 classification genetic algorithms for solving ...

What is SEO? At its core, the meaning of search engine optimization (SEO) is increasing your website’s visibility in the organic search results of major search engines. To get that visibility, you ...

Abstract: Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

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