Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Learn how to document data structures and algorithms effectively, using common tools and techniques, in this system development article.

Some types of predictive analytics software use machine learning to revise algorithms based on learnings from the data collected over time, continuously improving prediction accuracy.

Schematics is a Python library to combine types into structures, validate them, and transform the shapes of your data based on simple descriptions. The internals are similar to ORM type systems, but ...

Algorithms implemented in the Data Structures and Algorithm Complexity discipline.

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

Formation control plays a fundamental role in many domains, such as autonomous vehicles, aerial vehicles, and robotics, by enabling coordinated movement and cooperation among multiple agents. In this ...

Objectives We validate a machine learning-based sepsis-prediction algorithm (InSight) for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate ...