Dual-path AI framework spots hidden anomalies in industrial time series data
Researchers at Guangdong University of Technology have developed DP-MVAD, a dual-path multi-view framework that disentangles trends from perturbations and fuses ...
Researchers at Guangdong University of Technology have developed DP-MVAD, a dual-path multi-view framework that disentangles trends from perturbations and fuses ...
A new computational study of Pseudomonas aeruginosa shows that transient population dynamics and inoculum size fundamentally reshape antibiotic susceptibility, prompting ...
A new PLOS Digital Health review sets out methodological recommendations for making leading indicator analyses in epidemic surveillance reliable and ...
A novel entropy-based analysis of six decades of daily rainfall data from 14 Serbian weather stations shows that the predictability ...
A new benchmark study compares three causal inference methods for detecting climate tipping point interactions and finds that a weaker ...
A new likelihood ratio test that compares climate models with observations without assuming equal noise variances finds that most CMIP6 ...
A five-year population-level time-series analysis found that British Columbia's decriminalization of small-amount drug possession sharply reduced police encounters without measurably ...
A thirteen-year national analysis of Ecuador's health records shows newborn respiratory distress dominating hospitalizations and disability-adjusted life years while birth ...
A seasonal fractional analysis of 124 years of monthly rainfall across 17 arid and semi-arid African countries reveals that some ...
A thirteen-year analysis of clinic records in rural Gambia finds moderate weekly rainfall raises the risk of diarrheal disease and ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine