Do you ever find yourself copying Excel data and recreating graphs every month, or struggling to focus on your core work because aggregation and graphing take up so much time? By using Python's pandas ...
Status (2026-06-26): active development lives in the OwnAudit repo. This audit/ subtree is the base the OwnAudit audit was taken from and "brought to completion" — OwnAudit was scaffolded 2026-06-25 ...
Somewhere in your organization, the answer to next quarter's hardest question already exists. It sits in a contract clause nobody indexed, a support ticket thread nobody summarized, a call transcript ...
Absolute Flash #17 races into stores next week! Can our heroes save both Colorado AND Grodd himself? Preview the ape ...
PCC-driven aggregation of disaggregated power plant collector systems in PSS/E using the Muljadi et al. P²Z equivalencing method. This tool automates the aggregation of collector-system cable ...
Abstract: Federated learning is useful when predicting user preferences due to its ability to keep user data private. As such, certain data samples may be more useful than others. For instance, with a ...
Abstract: Federated learning (FL) in Vehicular Ad-hoc Networks (VANETs) enables vehicles to collaboratively train machine learning models by aggregating local gradients without revealing the training ...