Real-Time Disaster Information Aggregation Software

Background: Disaster response agencies often stuggle to gather timely and specific information about emergencies from various sources. Social media platforms serve as a valuable repository of such data, but manually monitoring and sorting through the vast amount of information is inefficient and resource-intensive. Description: There is a pressin...

MACHINE LEARNING AND MARKETING A SYSTEMATIC LITERATURE REVIEW

Even though machine learning (ML) applications are not novel, they have gained popularity partly due to the advance in computing processing.This study explores the adoption of ML methods in marketing applications through a bibliographic review of the period 2008–2022. In this period, the adoption of ML in marketing has grown significantly. This gro...

MACHINE LEARNING FOR STRUCTURE DETERMINATION IN SINGLE-PARTICLE CRYO ELECTRON MICROSCOPY: A SYSTEMATIC REVIEW

Traditionally, X-ray crystallography and NMR spectroscopy represent major workhorses of structural biologists, with the lion share of protein structures reported in protein data bank (PDB) being generated by these powerful techniques.Despite their wide utilization in protein structure determination, these two techniques have logical limitations, wi...