IEEE

State-of-the-Art Review: Models and Algorithms for Optimal Power System Design, Stabilization, and Reliability Enhancement

Abstract: The stability and reliability of power systems are essential for effective operation and design. Models and algorithms are instrumental in bolstering stability, especially using Power System ...
InfoQ

Implementing the Sidecar Pattern in Microservices-Based ASP.NET Core Applications

Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a ...
IEEE

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers

Abstract: Large language models have catalyzed an unprece-dented wave in code generation. While achieving significant advances, they blur the distinctions between machine- and human-authored source ...
GitHub

Predicting cellular responses to perturbation across diverse contexts with State

Train State transition models or pretrain State embedding models. See the State paper. See the Google Colab to train STATE for the Virtual Cell Challenge. Prepares training h5ad files by normalizing ...
Medical Xpress

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, could help orthopedic physicians predict when a patient might encounter a bone ...