Abstract: This work presents a new topological observability algorithm to strengthen the performance of the hybrid power system static state estimation, assuming that the supervisory control and data ...

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Clathrate hydrates are crystalline inclusion compounds with relevance to global ...

For a more detailed explanation for this package, this document will keep update for better understanding the source code. You can also try the playground I build to get familier with the algorithm ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Florida State Bracing for Hefty ...

Are quantum computers worth the billions that are being invested in them? The answer is probably many years away. However, the machines could prove to be particularly suited to solving problems in ...

Rather than terminating the algorithm upon cycle detection, such cases are handled by simply skipping the traversal of already-rooted dependent nodes. This approach effectively bypasses the cyclic ...

When employees at Meta started developing their flagship AI model, Llama 3, they faced a simple ethical question. The program would need to be trained on a huge amount of high-quality writing to be ...