From replacement selection to BRD resilience, tissue sampling units provide a fast, clean and reliable path to the genomic ...

Abstract: Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning ...

Abstract: To overcome critical limitations in existing methods for battery capacity estimation, including long-term estimation, handling of irregular sampling and missing data, and transferability ...

As industry continues to explore viable sustainable fuels, hydrogen (H2) has emerged as a front-runner in the alternative ...

A toolkit for actively pairing conditions in pairwise comparison preference aggregation. Pairwise comparison data arise in many domains with subjective assessment experiments. In these experiments ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

How Do I Test My Well? A water testing or environmental laboratory can analyze a water sample from your water well. The Texas Commission on Environmental Quality (TCEQ) has developed a laboratories ...

By integrating ecological data collection into field operations, the project demonstrates how utility corridors can serve as ...

Zhu, Weiqiang, and Gregory C. Beroza. "PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method." arXiv preprint arXiv:1803.03211 (2018). Liu, Min, et al. "Rapid characterization of ...