Aiming at the disadvantage of present data formats in data compression for multi-channel telemetry data acquisition systems, this introduces a data packet structure, and a real-time compression ...

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 ...

Algorithms implemented in the Data Structures and Algorithm Complexity discipline.

Structure learning of Bayesian Networks (BNs) is an important topic in machine learning. Driven by modern applications in genetics and brain sciences, accurate and efficient learning of large-scale BN ...