This R package (Hahsler, Piekenbrock, and Doran 2019) provides a fast C++ (re)implementation of several density-based algorithms with a focus on the DBSCAN family for clustering spatial data. The ...

Utilizing techniques such as data preprocessing, feature selection ... Originally utilizing Faster R-CNN and DBSCAN, it has been upgraded to state-of-the-art YOLOv9e and YOLOv10l models for enhanced ...

Clustering algorithms are at the basis of several technological applications ... We numerically test qCLUE in several scenarios, demonstrating its effectiveness and proving it to be a promising route ...

Clustering CITE-seq data have the great potential of providing us with a more comprehensive and in-depth view of cell states and interactions. However, CITE-seq data inherit the properties of ...

Digital is known as an innovative tech cluster ... the mining sector. By extracting DNA from thousands of mining site samples, the project identified naturally occurring and synthetic microbes that ...

Bitcoin mining involves solving complex mathematical puzzles, validating transactions and securing the network. Miners compete to find the correct hash, adding new blocks to the blockchain and ...

Tartana Minerals Ltd is in advanced discussions with Mt Garnet Mining Finance Pty Ltd on a potential arrangement which would see Tartana gain access to the Mungana processing plant. Atlantic Lithium ...