eLife

Inferring variant-specific effective reproduction numbers from combined case and sequencing data

Integrating case counts with genomic sequences quantifies real-time transmission advantages of viral variants.
IEEE

FUDLInter: Frequency-Space-Dependent Unsupervised Deep Learning Framework for 3-D and 5-D Seismic Data Interpolation

Abstract: Deep learning (DL) has emerged as a focal point in addressing various challenges within the field of exploration seismology, prominently featuring applications in seismic data interpolation.
JD Supra

The Data Behind the Dispensary: Why Cannabis Cybersecurity and Consumer Privacy Matter More Than Ever

Imagine walking into a dispensary to purchase a legal product and being asked to provide your driver's license, address, date of birth, ...
IEEE

RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge

Abstract: We address the critical problem of interference rejection in radio-frequency (RF) signals using a data-driven approach that leverages deep-learning methods. A primary contribution of this ...
International Livestock Research Institute

High spatial and temporal resolution observation using KAZNET for early warning and de-risking in the Horn of Africa

Drought is the leading cause of livestock mortality and climate induced poverty traps in the drylands of Africa. Despite the progress made in the development of indices to quantify drought impacts, ...
freightwaves.com

USDOT signs on as a customer of SONAR’s high frequency freight market data

The U.S. Department of Transportation (USDOT) has awarded a contract to FreightWaves SONAR to provide high-frequency freight market data in support of federal transportation analysis and economic ...