The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.
Design/methodology/approach A descriptive, documentary study with a quantitative approach using rough set theory, k-means clustering, and logistic regression methods. The sample consists of 211 ...
There's a divide in how Americans are doing financially. NPR's Stephan Bisaha explains a tool economists are using to explain it - the letter K. STEPHAN BISAHA, BYLINE: You might think of economists ...
Abstract: K-means clustering is a widely used unsupervised learning algorithm for partitioning data into distinct clusters. However, the performance of k-means heavily depends on the initial cluster ...
Abstract: The traditional K-means algorithm often leads to unstable clustering quality due to the randomness of the initial clustering center selection and tends to fall into suboptimal solutions when ...
This plugin brings MicroPython support into JetBrains IDEs in Free and Pro editions. It provides reliable device file system integration, REPL support, stub package management, and smooth workflows ...
The final, formatted version of the article will be published soon. This study examined English as a Foreign Language (EFL) learners' awareness of artificial intelligence (AI) and its associations ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback